XGBoost_Train.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "mergedDescs=pd.read_csv(\"merged_Descs_sorted.csv\")\n",
    "data=mergedDescs.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_names=pd.read_csv(\"ExternalID.csv\", header=None)\n",
    "train_names=pd.read_csv(\"TrainID.csv\", header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"BCF\"] = data.apply(lambda row: 0 if row[\"logBCF\"] < 3.0 else 1, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop(['logBCF'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BCF\n",
       "0    798\n",
       "1    209\n",
       "Name: BCF, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby(['BCF'])['BCF'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for splitting the dataset, selected rows based on unique values in the 'Name' column using or (|)\n",
    "# unique values were chosen from original datasets provided by authors of publication\n",
    "test= data[(data['Name']==729)|\n",
    "           (data['Name']==367)|\n",
    "           (data['Name']==475)|\n",
    "           (data['Name']==951)|\n",
    "           (data['Name']==21)|\n",
    "           (data['Name']==810)|\n",
    "           (data['Name']==1009)|\n",
    "           (data['Name']==273)|\n",
    "           (data['Name']==168)|\n",
    "           (data['Name']==586)|\n",
    "           (data['Name']==594)|\n",
    "           (data['Name']==22)|\n",
    "           (data['Name']==13)|\n",
    "           (data['Name']==941)|\n",
    "           (data['Name']==4)|\n",
    "           (data['Name']==253)|\n",
    "           (data['Name']==748)|\n",
    "           (data['Name']==807)|\n",
    "           (data['Name']==23)|\n",
    "           (data['Name']==953)|\n",
    "           (data['Name']==876)|\n",
    "           (data['Name']==571)|\n",
    "           (data['Name']==600)|\n",
    "           (data['Name']==372)|\n",
    "           (data['Name']==492)|\n",
    "           (data['Name']==802)|\n",
    "           (data['Name']==3)|\n",
    "           (data['Name']==118)|\n",
    "           (data['Name']==606)|\n",
    "           (data['Name']==42)|\n",
    "           (data['Name']==569)|\n",
    "           (data['Name']==505)|\n",
    "           (data['Name']==324)|\n",
    "           (data['Name']==588)|\n",
    "           (data['Name']==173)|\n",
    "           (data['Name']==65)|\n",
    "           (data['Name']==867)|\n",
    "           (data['Name']==145)|\n",
    "           (data['Name']==1032)|\n",
    "           (data['Name']==98)|\n",
    "           (data['Name']==101)|\n",
    "           (data['Name']==478)|\n",
    "           (data['Name']==30)|\n",
    "           (data['Name']==959)|\n",
    "           (data['Name']==960)|\n",
    "           (data['Name']==396)|\n",
    "           (data['Name']==621)|\n",
    "           (data['Name']==860)|\n",
    "           (data['Name']==559)|\n",
    "           (data['Name']==100)|\n",
    "           (data['Name']==568)|\n",
    "           (data['Name']==847)|\n",
    "           (data['Name']==194)|\n",
    "           (data['Name']==120)|\n",
    "           (data['Name']==24)|\n",
    "           (data['Name']==970)|\n",
    "           (data['Name']==149)|\n",
    "           (data['Name']==99)|\n",
    "           (data['Name']==204)|\n",
    "           (data['Name']==183)|\n",
    "           (data['Name']==10)|\n",
    "           (data['Name']==652)|\n",
    "           (data['Name']==840)|\n",
    "           (data['Name']==774)|\n",
    "           (data['Name']==576)|\n",
    "           (data['Name']==496)|\n",
    "           (data['Name']==74)|\n",
    "           (data['Name']==557)|\n",
    "           (data['Name']==871)|\n",
    "           (data['Name']==1030)|\n",
    "           (data['Name']==518)|\n",
    "           (data['Name']==126)|\n",
    "           (data['Name']==964)|\n",
    "           (data['Name']==215)|\n",
    "           (data['Name']==73)|\n",
    "           (data['Name']==555)|\n",
    "           (data['Name']==412)|\n",
    "           (data['Name']==150)|\n",
    "           (data['Name']==719)|\n",
    "           (data['Name']==537)|\n",
    "           (data['Name']==612)|\n",
    "           (data['Name']==136)|\n",
    "           (data['Name']==75)|\n",
    "           (data['Name']==26)|\n",
    "           (data['Name']==707)|\n",
    "           (data['Name']==424)|\n",
    "           (data['Name']==917)|\n",
    "           (data['Name']==565)|\n",
    "           (data['Name']==79)|\n",
    "           (data['Name']==66)|\n",
    "           (data['Name']==248)|\n",
    "           (data['Name']==155)|\n",
    "           (data['Name']==237)|\n",
    "           (data['Name']==721)|\n",
    "           (data['Name']==212)|\n",
    "           (data['Name']==523)|\n",
    "           (data['Name']==541)|\n",
    "           (data['Name']==112)|\n",
    "           (data['Name']==668)|\n",
    "           (data['Name']==222)|\n",
    "           (data['Name']==940)|\n",
    "           (data['Name']==491)|\n",
    "           (data['Name']==924)|\n",
    "           (data['Name']==146)|\n",
    "           (data['Name']==64)|\n",
    "           (data['Name']==539)|\n",
    "           (data['Name']==190)|\n",
    "           (data['Name']==1007)|\n",
    "           (data['Name']==511)|\n",
    "           (data['Name']==854)|\n",
    "           (data['Name']==334)|\n",
    "           (data['Name']==617)|\n",
    "           (data['Name']==409)|\n",
    "           (data['Name']==582)|\n",
    "           (data['Name']==61)|\n",
    "           (data['Name']==156)|\n",
    "           (data['Name']==1036)|\n",
    "           (data['Name']==543)|\n",
    "           (data['Name']==706)|\n",
    "           (data['Name']==95)|\n",
    "           (data['Name']==442)|\n",
    "           (data['Name']==649)|\n",
    "           (data['Name']==989)|\n",
    "           (data['Name']==121)|\n",
    "           (data['Name']==388)|\n",
    "           (data['Name']==708)|\n",
    "           (data['Name']==616)|\n",
    "           (data['Name']==436)|\n",
    "           (data['Name']==444)|\n",
    "           (data['Name']==968)|\n",
    "           (data['Name']==734)|\n",
    "           (data['Name']==205)|\n",
    "           (data['Name']==611)|\n",
    "           (data['Name']==610)|\n",
    "           (data['Name']==92)|\n",
    "           (data['Name']==819)|\n",
    "           (data['Name']==535)|\n",
    "           (data['Name']==653)|\n",
    "           (data['Name']==1033)|\n",
    "           (data['Name']==943)|\n",
    "           (data['Name']==656)|\n",
    "           (data['Name']==288)|\n",
    "           (data['Name']==347)|\n",
    "           (data['Name']==698)|\n",
    "           (data['Name']==227)|\n",
    "           (data['Name']==337)|\n",
    "           (data['Name']==745)|\n",
    "           (data['Name']==293)|\n",
    "           (data['Name']==452)|\n",
    "           (data['Name']==609)|\n",
    "           (data['Name']==384)|\n",
    "           (data['Name']==763)|\n",
    "           (data['Name']==363)|\n",
    "           (data['Name']==368)|\n",
    "           (data['Name']==1006)|\n",
    "           (data['Name']==546)|\n",
    "           (data['Name']==137)|\n",
    "           (data['Name']==797)|\n",
    "           (data['Name']==762)|\n",
    "           (data['Name']==1018)|\n",
    "           (data['Name']==153)|\n",
    "           (data['Name']==769)|\n",
    "           (data['Name']==312)|\n",
    "           (data['Name']==1020)|\n",
    "           (data['Name']==216)|\n",
    "           (data['Name']==151)|\n",
    "           (data['Name']==815)|\n",
    "           (data['Name']==800)|\n",
    "           (data['Name']==290)|\n",
    "           (data['Name']==345)|\n",
    "           (data['Name']==371)|\n",
    "           (data['Name']==401)|\n",
    "           (data['Name']==733)|\n",
    "           (data['Name']==768)|\n",
    "           (data['Name']==40)|\n",
    "           (data['Name']==58)|\n",
    "           (data['Name']==948)|\n",
    "           (data['Name']==132)|\n",
    "           (data['Name']==728)|\n",
    "           (data['Name']==676)|\n",
    "           (data['Name']==855)|\n",
    "           (data['Name']==325)|\n",
    "           (data['Name']==737)|\n",
    "           (data['Name']==309)|\n",
    "           (data['Name']==355)|\n",
    "           (data['Name']==925)|\n",
    "           (data['Name']==8)|\n",
    "           (data['Name']==743)|\n",
    "           (data['Name']==913)|\n",
    "           (data['Name']==782)|\n",
    "           (data['Name']==428)|\n",
    "           (data['Name']==301)|\n",
    "           (data['Name']==431)|\n",
    "           (data['Name']==592)|\n",
    "           (data['Name']==15)|\n",
    "           (data['Name']==903)|\n",
    "           (data['Name']==276)|\n",
    "           (data['Name']==315)|\n",
    "           (data['Name']==302)|\n",
    "           (data['Name']==525)|\n",
    "           (data['Name']==316)|\n",
    "           (data['Name']==35)|\n",
    "           (data['Name']==422)|\n",
    "           (data['Name']==723)|\n",
    "           (data['Name']==59)|\n",
    "           (data['Name']==1021)|\n",
    "           (data['Name']==184)|\n",
    "           (data['Name']==53)|\n",
    "           (data['Name']==892)|\n",
    "           (data['Name']==69)|\n",
    "           (data['Name']==973)|\n",
    "           (data['Name']==322)|\n",
    "           (data['Name']==310)|\n",
    "           (data['Name']==623)|\n",
    "           (data['Name']==965)|\n",
    "           (data['Name']==124)|\n",
    "           (data['Name']==420)|\n",
    "           (data['Name']==16)|\n",
    "           (data['Name']==882)|\n",
    "           (data['Name']==961)|\n",
    "           (data['Name']==90)|\n",
    "           (data['Name']==283)|\n",
    "           (data['Name']==839)|\n",
    "           (data['Name']==39)|\n",
    "           (data['Name']==856)|\n",
    "           (data['Name']==752)|\n",
    "           (data['Name']==1035)|\n",
    "           (data['Name']==540)|\n",
    "           (data['Name']==1004)|\n",
    "           (data['Name']==545)|\n",
    "           (data['Name']==863)|\n",
    "           (data['Name']==296)|\n",
    "           (data['Name']==447)|\n",
    "           (data['Name']==558)|\n",
    "           (data['Name']==286)|\n",
    "           (data['Name']==348)|\n",
    "           (data['Name']==111)|\n",
    "           (data['Name']==831)|\n",
    "           (data['Name']==130)|\n",
    "           (data['Name']==710)|\n",
    "           (data['Name']==56)|\n",
    "           (data['Name']==242)|\n",
    "           (data['Name']==779)|\n",
    "           (data['Name']==643)|\n",
    "           (data['Name']==574)|\n",
    "           (data['Name']==672)|\n",
    "           (data['Name']==356)|\n",
    "           (data['Name']==2)|\n",
    "           (data['Name']==147)|\n",
    "           (data['Name']==317)|\n",
    "           (data['Name']==502)|\n",
    "           (data['Name']==853)|\n",
    "           (data['Name']==932)|\n",
    "           (data['Name']==937)|\n",
    "           (data['Name']==437)|\n",
    "           (data['Name']==143)|\n",
    "           (data['Name']==922)|\n",
    "           (data['Name']==773)|\n",
    "           (data['Name']==659)|\n",
    "           (data['Name']==378)|\n",
    "           (data['Name']==230)|\n",
    "           (data['Name']==241)|\n",
    "           (data['Name']==603)|\n",
    "           (data['Name']==343)|\n",
    "           (data['Name']==524)|\n",
    "           (data['Name']==28)|\n",
    "           (data['Name']==307)|\n",
    "           (data['Name']==259)|\n",
    "           (data['Name']==342)|\n",
    "           (data['Name']==454)|\n",
    "           (data['Name']==791)|\n",
    "           (data['Name']==81)|\n",
    "           (data['Name']==697)|\n",
    "           (data['Name']==209)|\n",
    "           (data['Name']==415)|\n",
    "           (data['Name']==125)|\n",
    "           (data['Name']==599)|\n",
    "           (data['Name']==662)|\n",
    "           (data['Name']==593)|\n",
    "           (data['Name']==313)|\n",
    "           (data['Name']==628)|\n",
    "           (data['Name']==664)|\n",
    "           (data['Name']==705)|\n",
    "           (data['Name']==117)|\n",
    "           (data['Name']==760)|\n",
    "           (data['Name']==878)|\n",
    "           (data['Name']==534)|\n",
    "           (data['Name']==232)|\n",
    "           (data['Name']==234)|\n",
    "           (data['Name']==977)|\n",
    "           (data['Name']==318)|\n",
    "           (data['Name']==688)|\n",
    "           (data['Name']==104)|\n",
    "           (data['Name']==969)|\n",
    "           (data['Name']==292)|\n",
    "           (data['Name']==445)|\n",
    "           (data['Name']==482)|\n",
    "           (data['Name']==678)|\n",
    "           (data['Name']==618)|\n",
    "           (data['Name']==266)|\n",
    "           (data['Name']==642)|\n",
    "           (data['Name']==140)|\n",
    "           (data['Name']==249)|\n",
    "           (data['Name']==873)|\n",
    "           (data['Name']==984)|\n",
    "           (data['Name']==421)|\n",
    "           (data['Name']==279)|\n",
    "           (data['Name']==185)|\n",
    "           (data['Name']==758)|\n",
    "           (data['Name']==201)|\n",
    "           (data['Name']==682)|\n",
    "           (data['Name']==211)|\n",
    "           (data['Name']==1029)|\n",
    "           (data['Name']==981)|\n",
    "           (data['Name']==887)|\n",
    "           (data['Name']==133)|\n",
    "           (data['Name']==391)|\n",
    "           (data['Name']==684)|\n",
    "           (data['Name']==670)|\n",
    "           (data['Name']==694)|\n",
    "           (data['Name']==641)|\n",
    "           (data['Name']==247)|\n",
    "           (data['Name']==256)|\n",
    "           (data['Name']==686)|\n",
    "           (data['Name']==218)|\n",
    "           (data['Name']==893)|\n",
    "           (data['Name']==875)|\n",
    "           (data['Name']==18)|\n",
    "           (data['Name']==679)|\n",
    "           (data['Name']==280)|\n",
    "           (data['Name']==999)|\n",
    "           (data['Name']==323)|\n",
    "           (data['Name']==687)|\n",
    "           (data['Name']==683)\n",
    "          ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the same approach as for the test set above\n",
    "train=data[(data['Name']==485)|\n",
    "           (data['Name']==381)|\n",
    "        (data['Name']==282)|\n",
    "        (data['Name']==333)|\n",
    "        (data['Name']==275)|\n",
    "        (data['Name']==494)|\n",
    "        (data['Name']==161)|\n",
    "        (data['Name']==584)|\n",
    "        (data['Name']==823)|\n",
    "        (data['Name']==410)|\n",
    "        (data['Name']==352)|\n",
    "        (data['Name']==908)|\n",
    "        (data['Name']==261)|\n",
    "        (data['Name']==715)|\n",
    "        (data['Name']==551)|\n",
    "        (data['Name']==597)|\n",
    "        (data['Name']==711)|\n",
    "        (data['Name']==716)|\n",
    "        (data['Name']==846)|\n",
    "        (data['Name']==103)|\n",
    "        (data['Name']==224)|\n",
    "        (data['Name']==54)|\n",
    "        (data['Name']==792)|\n",
    "        (data['Name']==1)|\n",
    "        (data['Name']==457)|\n",
    "        (data['Name']==730)|\n",
    "        (data['Name']==829)|\n",
    "        (data['Name']==869)|\n",
    "        (data['Name']==219)|\n",
    "        (data['Name']==601)|\n",
    "        (data['Name']==105)|\n",
    "        (data['Name']==37)|\n",
    "        (data['Name']==148)|\n",
    "        (data['Name']==532)|\n",
    "        (data['Name']==416)|\n",
    "        (data['Name']==509)|\n",
    "        (data['Name']==453)|\n",
    "        (data['Name']==468)|\n",
    "        (data['Name']==179)|\n",
    "        (data['Name']==154)|\n",
    "        (data['Name']==615)|\n",
    "        (data['Name']==771)|\n",
    "        (data['Name']==14)|\n",
    "        (data['Name']==195)|\n",
    "        (data['Name']==265)|\n",
    "        (data['Name']==640)|\n",
    "        (data['Name']==129)|\n",
    "        (data['Name']==335)|\n",
    "        (data['Name']==455)|\n",
    "        (data['Name']==477)|\n",
    "        (data['Name']==498)|\n",
    "        (data['Name']==573)|\n",
    "        (data['Name']==1025)|\n",
    "        (data['Name']==199)|\n",
    "        (data['Name']==134)|\n",
    "        (data['Name']==91)|\n",
    "        (data['Name']==268)|\n",
    "        (data['Name']==197)|\n",
    "        (data['Name']==515)|\n",
    "        (data['Name']==80)|\n",
    "        (data['Name']==508)|\n",
    "        (data['Name']==838)|\n",
    "        (data['Name']==461)|\n",
    "        (data['Name']==722)|\n",
    "        (data['Name']==203)|\n",
    "        (data['Name']==604)|\n",
    "        (data['Name']==41)|\n",
    "        (data['Name']==11)|\n",
    "        (data['Name']==48)|\n",
    "        (data['Name']==872)|\n",
    "        (data['Name']==198)|\n",
    "        (data['Name']==735)|\n",
    "        (data['Name']==229)|\n",
    "        (data['Name']==906)|\n",
    "        (data['Name']==390)|\n",
    "        (data['Name']==581)|\n",
    "        (data['Name']==598)|\n",
    "        (data['Name']==1031)|\n",
    "        (data['Name']==221)|\n",
    "        (data['Name']==107)|\n",
    "        (data['Name']==57)|\n",
    "        (data['Name']==258)|\n",
    "        (data['Name']==171)|\n",
    "        (data['Name']==693)|\n",
    "        (data['Name']==645)|\n",
    "        (data['Name']==31)|\n",
    "        (data['Name']==884)|\n",
    "        (data['Name']==210)|\n",
    "        (data['Name']==563)|\n",
    "        (data['Name']==650)|\n",
    "        (data['Name']==361)|\n",
    "        (data['Name']==364)|\n",
    "        (data['Name']==828)|\n",
    "        (data['Name']==12)|\n",
    "        (data['Name']==564)|\n",
    "        (data['Name']==174)|\n",
    "        (data['Name']==536)|\n",
    "        (data['Name']==97)|\n",
    "        (data['Name']==519)|\n",
    "        (data['Name']==483)|\n",
    "        (data['Name']==963)|\n",
    "        (data['Name']==277)|\n",
    "        (data['Name']==583)|\n",
    "        (data['Name']==552)|\n",
    "        (data['Name']==514)|\n",
    "        (data['Name']==119)|\n",
    "        (data['Name']==304)|\n",
    "        (data['Name']==362)|\n",
    "        (data['Name']==213)|\n",
    "        (data['Name']==71)|\n",
    "        (data['Name']==231)|\n",
    "        (data['Name']==51)|\n",
    "        (data['Name']==942)|\n",
    "        (data['Name']==1019)|\n",
    "        (data['Name']==113)|\n",
    "        (data['Name']==660)|\n",
    "        (data['Name']==510)|\n",
    "        (data['Name']==142)|\n",
    "        (data['Name']==47)|\n",
    "        (data['Name']==966)|\n",
    "        (data['Name']==985)|\n",
    "        (data['Name']==157)|\n",
    "        (data['Name']==17)|\n",
    "        (data['Name']==46)|\n",
    "        (data['Name']==799)|\n",
    "        (data['Name']==544)|\n",
    "        (data['Name']==139)|\n",
    "        (data['Name']==400)|\n",
    "        (data['Name']==62)|\n",
    "        (data['Name']==252)|\n",
    "        (data['Name']==786)|\n",
    "        (data['Name']==820)|\n",
    "        (data['Name']==251)|\n",
    "        (data['Name']==862)|\n",
    "        (data['Name']==935)|\n",
    "        (data['Name']==671)|\n",
    "        (data['Name']==624)|\n",
    "        (data['Name']==633)|\n",
    "        (data['Name']==978)|\n",
    "        (data['Name']==383)|\n",
    "        (data['Name']==516)|\n",
    "        (data['Name']==891)|\n",
    "        (data['Name']==931)|\n",
    "        (data['Name']==178)|\n",
    "        (data['Name']==202)|\n",
    "        (data['Name']==562)|\n",
    "        (data['Name']==625)|\n",
    "        (data['Name']==60)|\n",
    "        (data['Name']==96)|\n",
    "        (data['Name']==920)|\n",
    "        (data['Name']==547)|\n",
    "        (data['Name']==351)|\n",
    "        (data['Name']==635)|\n",
    "        (data['Name']==776)|\n",
    "        (data['Name']==228)|\n",
    "        (data['Name']==45)|\n",
    "        (data['Name']==88)|\n",
    "        (data['Name']==192)|\n",
    "        (data['Name']==44)|\n",
    "        (data['Name']==549)|\n",
    "        (data['Name']==70)|\n",
    "        (data['Name']==499)|\n",
    "        (data['Name']==67)|\n",
    "        (data['Name']==696)|\n",
    "        (data['Name']==602)|\n",
    "        (data['Name']==36)|\n",
    "        (data['Name']==952)|\n",
    "        (data['Name']==975)|\n",
    "        (data['Name']==848)|\n",
    "        (data['Name']==440)|\n",
    "        (data['Name']==1005)|\n",
    "        (data['Name']==94)|\n",
    "        (data['Name']==550)|\n",
    "        (data['Name']==837)|\n",
    "        (data['Name']==1015)|\n",
    "        (data['Name']==507)|\n",
    "        (data['Name']==780)|\n",
    "        (data['Name']==34)|\n",
    "        (data['Name']==527)|\n",
    "        (data['Name']==407)|\n",
    "        (data['Name']==858)|\n",
    "        (data['Name']==577)|\n",
    "        (data['Name']==956)|\n",
    "        (data['Name']==667)|\n",
    "        (data['Name']==1022)|\n",
    "        (data['Name']==162)|\n",
    "        (data['Name']==620)|\n",
    "        (data['Name']==651)|\n",
    "        (data['Name']==830)|\n",
    "        (data['Name']==513)|\n",
    "        (data['Name']==865)|\n",
    "        (data['Name']==188)|\n",
    "        (data['Name']==298)|\n",
    "        (data['Name']==626)|\n",
    "        (data['Name']==548)|\n",
    "        (data['Name']==303)|\n",
    "        (data['Name']==84)|\n",
    "        (data['Name']==947)|\n",
    "        (data['Name']==566)|\n",
    "        (data['Name']==954)|\n",
    "        (data['Name']==506)|\n",
    "        (data['Name']==267)|\n",
    "        (data['Name']==319)|\n",
    "        (data['Name']==353)|\n",
    "        (data['Name']==929)|\n",
    "        (data['Name']==83)|\n",
    "        (data['Name']==833)|\n",
    "        (data['Name']==9)|\n",
    "        (data['Name']==967)|\n",
    "        (data['Name']==880)|\n",
    "        (data['Name']==957)|\n",
    "        (data['Name']==27)|\n",
    "        (data['Name']==822)|\n",
    "        (data['Name']==979)|\n",
    "        (data['Name']==332)|\n",
    "        (data['Name']==1003)|\n",
    "        (data['Name']==556)|\n",
    "        (data['Name']==843)|\n",
    "        (data['Name']==888)|\n",
    "        (data['Name']==5)|\n",
    "        (data['Name']==533)|\n",
    "        (data['Name']==330)|\n",
    "        (data['Name']==781)|\n",
    "        (data['Name']==927)|\n",
    "        (data['Name']==526)|\n",
    "        (data['Name']==25)|\n",
    "        (data['Name']==114)|\n",
    "        (data['Name']==945)|\n",
    "        (data['Name']==834)|\n",
    "        (data['Name']==764)|\n",
    "        (data['Name']==859)|\n",
    "        (data['Name']==223)|\n",
    "        (data['Name']==375)|\n",
    "        (data['Name']==1010)|\n",
    "        (data['Name']==832)|\n",
    "        (data['Name']==425)|\n",
    "        (data['Name']==634)|\n",
    "        (data['Name']==704)|\n",
    "        (data['Name']==844)|\n",
    "        (data['Name']==87)|\n",
    "        (data['Name']==877)|\n",
    "        (data['Name']==20)|\n",
    "        (data['Name']==852)|\n",
    "        (data['Name']==1001)|\n",
    "        (data['Name']==938)|\n",
    "        (data['Name']==495)|\n",
    "        (data['Name']==665)|\n",
    "        (data['Name']==427)|\n",
    "        (data['Name']==845)|\n",
    "        (data['Name']==135)|\n",
    "        (data['Name']==585)|\n",
    "        (data['Name']==365)|\n",
    "        (data['Name']==918)|\n",
    "        (data['Name']==187)|\n",
    "        (data['Name']==169)|\n",
    "        (data['Name']==474)|\n",
    "        (data['Name']==619)|\n",
    "        (data['Name']==939)|\n",
    "        (data['Name']==567)|\n",
    "        (data['Name']==666)|\n",
    "        (data['Name']==864)|\n",
    "        (data['Name']==486)|\n",
    "        (data['Name']==914)|\n",
    "        (data['Name']==622)|\n",
    "        (data['Name']==849)|\n",
    "        (data['Name']==836)|\n",
    "        (data['Name']==614)|\n",
    "        (data['Name']==467)|\n",
    "        (data['Name']==340)|\n",
    "        (data['Name']==759)|\n",
    "        (data['Name']==481)|\n",
    "        (data['Name']==374)|\n",
    "        (data['Name']==1008)|\n",
    "        (data['Name']==77)|\n",
    "        (data['Name']==958)|\n",
    "        (data['Name']==189)|\n",
    "        (data['Name']==528)|\n",
    "        (data['Name']==1012)|\n",
    "        (data['Name']==226)|\n",
    "        (data['Name']==466)|\n",
    "        (data['Name']==1002)|\n",
    "        (data['Name']==419)|\n",
    "        (data['Name']==257)|\n",
    "        (data['Name']==271)|\n",
    "        (data['Name']==373)|\n",
    "        (data['Name']==393)|\n",
    "        (data['Name']==191)|\n",
    "        (data['Name']==572)|\n",
    "        (data['Name']==49)|\n",
    "        (data['Name']==287)|\n",
    "        (data['Name']==857)|\n",
    "        (data['Name']==472)|\n",
    "        (data['Name']==811)|\n",
    "        (data['Name']==790)|\n",
    "        (data['Name']==850)|\n",
    "        (data['Name']==934)|\n",
    "        (data['Name']==661)|\n",
    "        (data['Name']==784)|\n",
    "        (data['Name']==632)|\n",
    "        (data['Name']==955)|\n",
    "        (data['Name']==200)|\n",
    "        (data['Name']==55)|\n",
    "        (data['Name']==736)|\n",
    "        (data['Name']==928)|\n",
    "        (data['Name']==68)|\n",
    "        (data['Name']==43)|\n",
    "        (data['Name']==500)|\n",
    "        (data['Name']==1034)|\n",
    "        (data['Name']==180)|\n",
    "        (data['Name']==439)|\n",
    "        (data['Name']==497)|\n",
    "        (data['Name']==264)|\n",
    "        (data['Name']==450)|\n",
    "        (data['Name']==269)|\n",
    "        (data['Name']==731)|\n",
    "        (data['Name']==911)|\n",
    "        (data['Name']==403)|\n",
    "        (data['Name']==542)|\n",
    "        (data['Name']==1013)|\n",
    "        (data['Name']==673)|\n",
    "        (data['Name']==115)|\n",
    "        (data['Name']==561)|\n",
    "        (data['Name']==122)|\n",
    "        (data['Name']==331)|\n",
    "        (data['Name']==578)|\n",
    "        (data['Name']==405)|\n",
    "        (data['Name']==714)|\n",
    "        (data['Name']==812)|\n",
    "        (data['Name']==742)|\n",
    "        (data['Name']==423)|\n",
    "        (data['Name']==756)|\n",
    "        (data['Name']==321)|\n",
    "        (data['Name']==746)|\n",
    "        (data['Name']==208)|\n",
    "        (data['Name']==738)|\n",
    "        (data['Name']==278)|\n",
    "        (data['Name']==285)|\n",
    "        (data['Name']==306)|\n",
    "        (data['Name']==327)|\n",
    "        (data['Name']==350)|\n",
    "        (data['Name']==357)|\n",
    "        (data['Name']==379)|\n",
    "        (data['Name']==399)|\n",
    "        (data['Name']==433)|\n",
    "        (data['Name']==448)|\n",
    "        (data['Name']==744)|\n",
    "        (data['Name']==750)|\n",
    "        (data['Name']==821)|\n",
    "        (data['Name']==1016)|\n",
    "        (data['Name']==910)|\n",
    "        (data['Name']==933)|\n",
    "        (data['Name']==596)|\n",
    "        (data['Name']==675)|\n",
    "        (data['Name']==490)|\n",
    "        (data['Name']==349)|\n",
    "        (data['Name']==1028)|\n",
    "        (data['Name']==554)|\n",
    "        (data['Name']==712)|\n",
    "        (data['Name']==504)|\n",
    "        (data['Name']==813)|\n",
    "        (data['Name']==1024)|\n",
    "        (data['Name']==976)|\n",
    "        (data['Name']==72)|\n",
    "        (data['Name']==426)|\n",
    "        (data['Name']==108)|\n",
    "        (data['Name']==255)|\n",
    "        (data['Name']==326)|\n",
    "        (data['Name']==339)|\n",
    "        (data['Name']==449)|\n",
    "        (data['Name']==469)|\n",
    "        (data['Name']==971)|\n",
    "        (data['Name']==1017)|\n",
    "        (data['Name']==946)|\n",
    "        (data['Name']==575)|\n",
    "        (data['Name']==131)|\n",
    "        (data['Name']==487)|\n",
    "        (data['Name']==438)|\n",
    "        (data['Name']==669)|\n",
    "        (data['Name']==700)|\n",
    "        (data['Name']==329)|\n",
    "        (data['Name']==775)|\n",
    "        (data['Name']==842)|\n",
    "        (data['Name']==522)|\n",
    "        (data['Name']==972)|\n",
    "        (data['Name']==1014)|\n",
    "        (data['Name']==883)|\n",
    "        (data['Name']==912)|\n",
    "        (data['Name']==233)|\n",
    "        (data['Name']==717)|\n",
    "        (data['Name']==186)|\n",
    "        (data['Name']==32)|\n",
    "        (data['Name']==629)|\n",
    "        (data['Name']==370)|\n",
    "        (data['Name']==489)|\n",
    "        (data['Name']==354)|\n",
    "        (data['Name']==727)|\n",
    "        (data['Name']==291)|\n",
    "        (data['Name']==1026)|\n",
    "        (data['Name']==464)|\n",
    "        (data['Name']==236)|\n",
    "        (data['Name']==369)|\n",
    "        (data['Name']==754)|\n",
    "        (data['Name']==789)|\n",
    "        (data['Name']==962)|\n",
    "        (data['Name']==785)|\n",
    "        (data['Name']==926)|\n",
    "        (data['Name']==553)|\n",
    "        (data['Name']==359)|\n",
    "        (data['Name']==206)|\n",
    "        (data['Name']==827)|\n",
    "        (data['Name']==909)|\n",
    "        (data['Name']==320)|\n",
    "        (data['Name']==560)|\n",
    "        (data['Name']==116)|\n",
    "        (data['Name']==709)|\n",
    "        (data['Name']==414)|\n",
    "        (data['Name']==644)|\n",
    "        (data['Name']==605)|\n",
    "        (data['Name']==907)|\n",
    "        (data['Name']==806)|\n",
    "        (data['Name']==591)|\n",
    "        (data['Name']==479)|\n",
    "        (data['Name']==608)|\n",
    "        (data['Name']==788)|\n",
    "        (data['Name']==50)|\n",
    "        (data['Name']==757)|\n",
    "        (data['Name']==93)|\n",
    "        (data['Name']==109)|\n",
    "        (data['Name']==377)|\n",
    "        (data['Name']==127)|\n",
    "        (data['Name']==366)|\n",
    "        (data['Name']==861)|\n",
    "        (data['Name']==681)|\n",
    "        (data['Name']==801)|\n",
    "        (data['Name']==851)|\n",
    "        (data['Name']==930)|\n",
    "        (data['Name']==803)|\n",
    "        (data['Name']==76)|\n",
    "        (data['Name']==870)|\n",
    "        (data['Name']==63)|\n",
    "        (data['Name']==33)|\n",
    "        (data['Name']==777)|\n",
    "        (data['Name']==986)|\n",
    "        (data['Name']==1023)|\n",
    "        (data['Name']==284)|\n",
    "        (data['Name']==718)|\n",
    "        (data['Name']==724)|\n",
    "        (data['Name']==295)|\n",
    "        (data['Name']==783)|\n",
    "        (data['Name']==905)|\n",
    "        (data['Name']==476)|\n",
    "        (data['Name']==772)|\n",
    "        (data['Name']==809)|\n",
    "        (data['Name']==835)|\n",
    "        (data['Name']==164)|\n",
    "        (data['Name']==761)|\n",
    "        (data['Name']==825)|\n",
    "        (data['Name']==235)|\n",
    "        (data['Name']==488)|\n",
    "        (data['Name']==82)|\n",
    "        (data['Name']==473)|\n",
    "        (data['Name']==392)|\n",
    "        (data['Name']==896)|\n",
    "        (data['Name']==281)|\n",
    "        (data['Name']==299)|\n",
    "        (data['Name']==7)|\n",
    "        (data['Name']==607)|\n",
    "        (data['Name']==658)|\n",
    "        (data['Name']==382)|\n",
    "        (data['Name']==314)|\n",
    "        (data['Name']==170)|\n",
    "        (data['Name']==794)|\n",
    "        (data['Name']==720)|\n",
    "        (data['Name']==1011)|\n",
    "        (data['Name']==459)|\n",
    "        (data['Name']==990)|\n",
    "        (data['Name']==879)|\n",
    "        (data['Name']==732)|\n",
    "        (data['Name']==78)|\n",
    "        (data['Name']==787)|\n",
    "        (data['Name']==86)|\n",
    "        (data['Name']==916)|\n",
    "        (data['Name']==176)|\n",
    "        (data['Name']==297)|\n",
    "        (data['Name']==766)|\n",
    "        (data['Name']==531)|\n",
    "        (data['Name']==796)|\n",
    "        (data['Name']==1027)|\n",
    "        (data['Name']==982)|\n",
    "        (data['Name']==866)|\n",
    "        (data['Name']==336)|\n",
    "        (data['Name']==165)|\n",
    "        (data['Name']==740)|\n",
    "        (data['Name']==239)|\n",
    "        (data['Name']==646)|\n",
    "        (data['Name']==85)|\n",
    "        (data['Name']==755)|\n",
    "        (data['Name']==451)|\n",
    "        (data['Name']==220)|\n",
    "        (data['Name']==713)|\n",
    "        (data['Name']==418)|\n",
    "        (data['Name']==983)|\n",
    "        (data['Name']==380)|\n",
    "        (data['Name']==590)|\n",
    "        (data['Name']==432)|\n",
    "        (data['Name']==570)|\n",
    "        (data['Name']==463)|\n",
    "        (data['Name']==595)|\n",
    "        (data['Name']==529)|\n",
    "        (data['Name']==770)|\n",
    "        (data['Name']==395)|\n",
    "        (data['Name']==895)|\n",
    "        (data['Name']==214)|\n",
    "        (data['Name']==89)|\n",
    "        (data['Name']==793)|\n",
    "        (data['Name']==739)|\n",
    "        (data['Name']==741)|\n",
    "        (data['Name']==753)|\n",
    "        (data['Name']==460)|\n",
    "        (data['Name']==874)|\n",
    "        (data['Name']==484)|\n",
    "        (data['Name']==358)|\n",
    "        (data['Name']==29)|\n",
    "        (data['Name']==638)|\n",
    "        (data['Name']==346)|\n",
    "        (data['Name']==881)|\n",
    "        (data['Name']==376)|\n",
    "        (data['Name']==446)|\n",
    "        (data['Name']==38)|\n",
    "        (data['Name']==995)|\n",
    "        (data['Name']==949)|\n",
    "        (data['Name']==919)|\n",
    "        (data['Name']==167)|\n",
    "        (data['Name']==805)|\n",
    "        (data['Name']==980)|\n",
    "        (data['Name']==458)|\n",
    "        (data['Name']==580)|\n",
    "        (data['Name']==394)|\n",
    "        (data['Name']==443)|\n",
    "        (data['Name']==398)|\n",
    "        (data['Name']==886)|\n",
    "        (data['Name']==996)|\n",
    "        (data['Name']==465)|\n",
    "        (data['Name']==244)|\n",
    "        (data['Name']==703)|\n",
    "        (data['Name']==841)|\n",
    "        (data['Name']==138)|\n",
    "        (data['Name']==207)|\n",
    "        (data['Name']==19)|\n",
    "        (data['Name']==480)|\n",
    "        (data['Name']==411)|\n",
    "        (data['Name']==102)|\n",
    "        (data['Name']==663)|\n",
    "        (data['Name']==904)|\n",
    "        (data['Name']==767)|\n",
    "        (data['Name']==579)|\n",
    "        (data['Name']==974)|\n",
    "        (data['Name']==587)|\n",
    "        (data['Name']==344)|\n",
    "        (data['Name']==123)|\n",
    "        (data['Name']==441)|\n",
    "        (data['Name']==402)|\n",
    "        (data['Name']==814)|\n",
    "        (data['Name']==462)|\n",
    "        (data['Name']==921)|\n",
    "        (data['Name']==385)|\n",
    "        (data['Name']==778)|\n",
    "        (data['Name']==950)|\n",
    "        (data['Name']==655)|\n",
    "        (data['Name']==701)|\n",
    "        (data['Name']==795)|\n",
    "        (data['Name']==816)|\n",
    "        (data['Name']==181)|\n",
    "        (data['Name']==901)|\n",
    "        (data['Name']==936)|\n",
    "        (data['Name']==456)|\n",
    "        (data['Name']==885)|\n",
    "        (data['Name']==196)|\n",
    "        (data['Name']==294)|\n",
    "        (data['Name']==141)|\n",
    "        (data['Name']==408)|\n",
    "        (data['Name']==900)|\n",
    "        (data['Name']==630)|\n",
    "        (data['Name']==1000)|\n",
    "        (data['Name']==387)|\n",
    "        (data['Name']==152)|\n",
    "        (data['Name']==413)|\n",
    "        (data['Name']==915)|\n",
    "        (data['Name']==699)|\n",
    "        (data['Name']==890)|\n",
    "        (data['Name']==818)|\n",
    "        (data['Name']==128)|\n",
    "        (data['Name']==328)|\n",
    "        (data['Name']==270)|\n",
    "        (data['Name']==308)|\n",
    "        (data['Name']==749)|\n",
    "        (data['Name']==804)|\n",
    "        (data['Name']==631)|\n",
    "        (data['Name']==674)|\n",
    "        (data['Name']==889)|\n",
    "        (data['Name']==589)|\n",
    "        (data['Name']==144)|\n",
    "        (data['Name']==225)|\n",
    "        (data['Name']==158)|\n",
    "        (data['Name']==289)|\n",
    "        (data['Name']==654)|\n",
    "        (data['Name']==826)|\n",
    "        (data['Name']==272)|\n",
    "        (data['Name']==52)|\n",
    "        (data['Name']==637)|\n",
    "        (data['Name']==691)|\n",
    "        (data['Name']==689)|\n",
    "        (data['Name']==520)|\n",
    "        (data['Name']==657)|\n",
    "        (data['Name']==471)|\n",
    "        (data['Name']==166)|\n",
    "        (data['Name']==300)|\n",
    "        (data['Name']==765)|\n",
    "        (data['Name']==987)|\n",
    "        (data['Name']==639)|\n",
    "        (data['Name']==944)|\n",
    "        (data['Name']==994)|\n",
    "        (data['Name']==274)|\n",
    "        (data['Name']==254)|\n",
    "        (data['Name']==159)|\n",
    "        (data['Name']==240)|\n",
    "        (data['Name']==106)|\n",
    "        (data['Name']==530)|\n",
    "        (data['Name']==868)|\n",
    "        (data['Name']==429)|\n",
    "        (data['Name']==260)|\n",
    "        (data['Name']==417)|\n",
    "        (data['Name']==389)|\n",
    "        (data['Name']==690)|\n",
    "        (data['Name']==193)|\n",
    "        (data['Name']==685)|\n",
    "        (data['Name']==538)|\n",
    "        (data['Name']==406)|\n",
    "        (data['Name']==217)|\n",
    "        (data['Name']==648)|\n",
    "        (data['Name']==680)|\n",
    "        (data['Name']==798)|\n",
    "        (data['Name']==898)|\n",
    "        (data['Name']==677)|\n",
    "        (data['Name']==360)|\n",
    "        (data['Name']==163)|\n",
    "        (data['Name']==110)|\n",
    "        (data['Name']==386)|\n",
    "        (data['Name']==899)|\n",
    "        (data['Name']==991)|\n",
    "        (data['Name']==923)|\n",
    "        (data['Name']==692)|\n",
    "        (data['Name']==246)|\n",
    "        (data['Name']==647)|\n",
    "        (data['Name']==992)|\n",
    "        (data['Name']==172)|\n",
    "        (data['Name']==250)|\n",
    "        (data['Name']==894)|\n",
    "        (data['Name']==434)|\n",
    "        (data['Name']==182)|\n",
    "        (data['Name']==897)|\n",
    "        (data['Name']==993)|\n",
    "        (data['Name']==245)|\n",
    "        (data['Name']==751)|\n",
    "        (data['Name']==243)|\n",
    "        (data['Name']==997)|\n",
    "        (data['Name']==998)|\n",
    "        (data['Name']==988)|\n",
    "        (data['Name']==430)|\n",
    "        (data['Name']==435)|\n",
    "        (data['Name']==747)|\n",
    "        (data['Name']==305)|\n",
    "        (data['Name']==512)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "count = 0\n",
    "test1 = pd.DataFrame()\n",
    "train1 = pd.DataFrame()\n",
    "for index, row in train.iterrows():\n",
    "    count += 1\n",
    "    if (count%3)==0:\n",
    "        test1 = test1.append(row)\n",
    "    else:\n",
    "        train1 = train1.append(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 449 entries, 0 to 1006\n",
      "Columns: 553 entries, ALogP to topoShape\n",
      "dtypes: float64(553)\n",
      "memory usage: 1.9 MB\n"
     ]
    }
   ],
   "source": [
    "train1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 224 entries, 3 to 1005\n",
      "Columns: 553 entries, ALogP to topoShape\n",
      "dtypes: float64(553)\n",
      "memory usage: 969.5 KB\n"
     ]
    }
   ],
   "source": [
    "test1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "train1 = train1[[\"TopoPSA\", \"WPATH\", \"XLogP3\", \"BCF\"]]\n",
    "test1 = test1[[\"TopoPSA\", \"WPATH\", \"XLogP3\", \"BCF\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = train1.drop(['BCF'], axis=1)\n",
    "y_train = train1['BCF']\n",
    "X_test = test1.drop(['BCF'], axis=1)\n",
    "y_test = test1['BCF']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0    355\n",
      "1.0     94\n",
      "Name: BCF, dtype: int64\n",
      "0.0    177\n",
      "1.0     47\n",
      "Name: BCF, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# just to see how it looks like..\n",
    "print(y_train.value_counts())\n",
    "print(y_test.value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# XGBoost"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.1. Imbalanced model towards nB compounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xgboost as xgb\n",
    "from sklearn.metrics import classification_report, confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gbtree 1 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\37253\\Miniconda3\\lib\\site-packages\\sklearn\\metrics\\_classification.py:1268: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 2 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 3 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.66      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "gbtree 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.93      0.92       177\n",
      "         1.0       0.71      0.68      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.80      0.81       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "gbtree 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "gbtree 7 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.72      0.66      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.80      0.81       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 8 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.71      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "gbtree 9 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.71      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "gbtree 10 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "gbtree 11 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "gbtree 12 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.93       177\n",
      "         1.0       0.76      0.66      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.80      0.82       224\n",
      "weighted avg       0.88      0.88      0.88       224\n",
      "\n",
      "gbtree 13 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 14 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.93       177\n",
      "         1.0       0.75      0.64      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.79      0.81       224\n",
      "weighted avg       0.87      0.88      0.88       224\n",
      "\n",
      "gbtree 15 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 16 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.93       177\n",
      "         1.0       0.76      0.62      0.68        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 17 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.93       177\n",
      "         1.0       0.78      0.60      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.84      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 18 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.93       177\n",
      "         1.0       0.76      0.62      0.68        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 19 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.93       177\n",
      "         1.0       0.78      0.60      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.84      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 20 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.95      0.93       177\n",
      "         1.0       0.77      0.64      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.84      0.79      0.81       224\n",
      "weighted avg       0.88      0.88      0.88       224\n",
      "\n",
      "gbtree 21 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.93       177\n",
      "         1.0       0.75      0.64      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.79      0.81       224\n",
      "weighted avg       0.87      0.88      0.88       224\n",
      "\n",
      "gbtree 22 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.95      0.92       177\n",
      "         1.0       0.74      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.75      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "gbtree 23 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "gbtree 24 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.95      0.92       177\n",
      "         1.0       0.75      0.57      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.76      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "gbtree 25 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "gbtree 26 0.8794642857142857\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.93       177\n",
      "         1.0       0.75      0.64      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.79      0.81       224\n",
      "weighted avg       0.87      0.88      0.88       224\n",
      "\n",
      "gbtree 27 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.92       177\n",
      "         1.0       0.73      0.64      0.68        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.79      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "gbtree 28 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.93      0.91       177\n",
      "         1.0       0.70      0.60      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.78       224\n",
      "weighted avg       0.86      0.86      0.86       224\n",
      "\n",
      "gbtree 29 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "gblinear 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 1 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 2 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 3 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 4 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 5 0.7857142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.39      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 6 0.7857142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.39      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 7 0.7857142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.39      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 8 0.7857142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.39      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 9 0.7857142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.39      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 10 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 11 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 12 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 13 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 14 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 15 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 16 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 17 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 18 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 19 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 20 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gblinear 21 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 22 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 23 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 24 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 25 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 26 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 27 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 28 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "gblinear 29 0.78125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      0.99      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.78       224\n",
      "   macro avg       0.39      0.49      0.44       224\n",
      "weighted avg       0.62      0.78      0.69       224\n",
      "\n",
      "dart 0 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 1 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 2 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 3 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 4 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 5 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 6 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 7 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 8 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 9 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 10 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 11 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 12 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 13 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 14 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 15 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 0 16 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 1 0 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 1 1 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 1 2 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 1 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 1 4 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.92       177\n",
      "         1.0       0.74      0.66      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.80      0.81       224\n",
      "weighted avg       0.88      0.88      0.88       224\n",
      "\n",
      "dart 1 5 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.92       177\n",
      "         1.0       0.74      0.66      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.80      0.81       224\n",
      "weighted avg       0.88      0.88      0.88       224\n",
      "\n",
      "dart 1 6 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 1 7 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 1 8 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 1 9 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 1 10 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.93      0.92       177\n",
      "         1.0       0.71      0.62      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 1 11 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.69      0.57      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 1 12 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.69      0.57      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 1 13 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.69      0.57      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 1 14 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.93      0.91       177\n",
      "         1.0       0.70      0.60      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.78       224\n",
      "weighted avg       0.86      0.86      0.86       224\n",
      "\n",
      "dart 1 15 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 16 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 17 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 18 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 19 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 20 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 21 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 22 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 23 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 24 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 25 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 26 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 27 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 28 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 29 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 1 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 2 0 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 2 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 2 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 2 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 2 4 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 2 5 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 2 6 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 2 7 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 2 8 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 2 9 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 2 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.69      0.57      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 2 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 2 12 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.69      0.57      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 2 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 2 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 2 15 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 2 16 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 2 17 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 2 18 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 2 19 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 2 20 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.86      0.89       177\n",
      "         1.0       0.59      0.77      0.67        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.81      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "dart 2 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 2 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 2 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 2 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 2 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 2 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 2 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 2 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 2 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 2 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.66      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 3 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 3 2 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 3 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 3 4 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 3 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 3 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 3 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 3 8 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 3 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 3 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 3 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 3 12 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 3 13 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.69      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 3 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 3 15 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 3 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 3 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 3 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 3 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 0 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.93      0.92       177\n",
      "         1.0       0.71      0.68      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.80      0.81       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 4 1 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.93      0.92      0.92       177\n",
      "         1.0       0.69      0.72      0.71        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.82      0.81       224\n",
      "weighted avg       0.88      0.88      0.88       224\n",
      "\n",
      "dart 4 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 4 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 4 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 4 5 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 4 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 4 7 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 4 8 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 4 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 4 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 4 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 4 12 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 4 13 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 4 14 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 4 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 4 16 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 4 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 5 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.68      0.68      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 5 2 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 5 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 5 4 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 5 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 5 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 5 7 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 5 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 5 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 5 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 5 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 5 12 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 5 13 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 5 14 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 5 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 5 16 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 5 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 5 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 6 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 6 2 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 6 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 6 4 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 6 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 6 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 6 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 6 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 6 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 6 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 6 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 6 12 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 6 13 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 6 14 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 6 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 6 16 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 6 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 6 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 0 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.72      0.66      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.80      0.81       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 7 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 7 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 7 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 7 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 7 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 7 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 7 7 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 7 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 7 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 7 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 7 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 7 12 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 7 13 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 7 14 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 7 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 7 16 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 7 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.71      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 8 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 8 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 8 3 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 8 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 8 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 8 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 8 7 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 8 8 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 8 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 8 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 8 11 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 8 12 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 8 13 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 8 14 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 8 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 8 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 8 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 8 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.71      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 9 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 9 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 9 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 9 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 9 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 9 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 9 7 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 9 8 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.95      0.92       177\n",
      "         1.0       0.74      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.75      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 9 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 9 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 9 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 9 12 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 9 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 9 14 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 9 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 9 16 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 9 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 9 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 10 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 10 2 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 10 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 10 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 10 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 10 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.95      0.92       177\n",
      "         1.0       0.74      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.75      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 10 7 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.95      0.92       177\n",
      "         1.0       0.74      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.75      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 10 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 10 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 10 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 10 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 10 12 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 10 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 10 14 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 10 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 10 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 10 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 10 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 10 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 11 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.92      0.92       177\n",
      "         1.0       0.69      0.66      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.79      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 11 2 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 11 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 11 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 11 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 11 6 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 11 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 11 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 11 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 11 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 11 11 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 11 12 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 11 13 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.71      0.47      0.56        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.71      0.74       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 11 14 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 11 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 11 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 11 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 11 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 0 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.93       177\n",
      "         1.0       0.76      0.66      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.80      0.82       224\n",
      "weighted avg       0.88      0.88      0.88       224\n",
      "\n",
      "dart 12 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.68      0.68      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 12 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 12 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 12 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 12 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 12 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 12 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.53      0.61        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.74      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 12 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 12 9 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 12 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 12 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 12 12 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 12 13 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.70      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.70      0.73       224\n",
      "weighted avg       0.83      0.84      0.83       224\n",
      "\n",
      "dart 12 14 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 12 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 12 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 12 17 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 12 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 12 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 12 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 0 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 13 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.92      0.92       177\n",
      "         1.0       0.69      0.66      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.79      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 13 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 13 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 13 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 13 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 13 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 13 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 13 8 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 13 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 13 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 13 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 13 12 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 13 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 13 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 13 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 13 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 13 17 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 13 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 13 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 13 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 0 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.93       177\n",
      "         1.0       0.75      0.64      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.79      0.81       224\n",
      "weighted avg       0.87      0.88      0.88       224\n",
      "\n",
      "dart 14 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.92      0.92       177\n",
      "         1.0       0.69      0.66      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.79      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 14 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 14 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 14 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 14 5 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 14 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 14 7 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 14 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 14 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 14 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 14 11 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 14 12 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 14 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 14 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 14 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 14 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 14 17 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 14 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 14 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 0 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 15 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 15 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 15 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 15 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 15 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 15 6 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 15 7 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 15 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 15 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 15 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 15 11 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 15 12 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 15 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 15 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 15 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 15 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 15 17 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 15 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 15 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 0 0.8794642857142857\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.93       177\n",
      "         1.0       0.76      0.62      0.68        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 16 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.68      0.68      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 16 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 16 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 16 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 16 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 16 6 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 16 7 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 16 8 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 16 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.53      0.61        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.74      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 16 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 16 11 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.96      0.92       177\n",
      "         1.0       0.77      0.49      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.82      0.72      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 16 12 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 16 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 16 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 16 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 16 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 16 17 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 16 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 16 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 16 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 0 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.93       177\n",
      "         1.0       0.78      0.60      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.84      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 17 1 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.70      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.81      0.81       224\n",
      "weighted avg       0.88      0.88      0.87       224\n",
      "\n",
      "dart 17 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.66      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 17 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 17 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 17 5 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.53      0.61        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.74      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 17 6 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 17 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 17 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 17 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 17 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 17 11 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 17 12 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 17 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 17 14 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 17 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 17 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 17 17 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 17 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 0 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.93       177\n",
      "         1.0       0.76      0.62      0.68        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 18 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 18 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 18 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 18 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 18 5 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 18 6 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 18 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 18 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.51      0.59        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 18 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 18 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 18 11 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 18 12 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 18 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 18 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 18 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 18 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 18 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 18 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 0 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.93       177\n",
      "         1.0       0.78      0.60      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.84      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 19 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 19 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.66      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 19 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 19 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 19 5 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 19 6 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 19 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 19 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 19 9 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 19 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 19 11 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.74      0.49      0.59        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.72      0.75       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 19 12 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 19 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 19 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 19 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 19 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 19 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 18 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 19 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 19 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 19 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 19 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 19 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 0 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.95      0.93       177\n",
      "         1.0       0.77      0.64      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.84      0.79      0.81       224\n",
      "weighted avg       0.88      0.88      0.88       224\n",
      "\n",
      "dart 20 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.70      0.68      0.69        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 20 2 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.92      0.92       177\n",
      "         1.0       0.69      0.66      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.79      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 20 3 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 20 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 20 5 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 20 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 20 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 20 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 20 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 20 10 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 20 11 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 20 12 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.72      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.70      0.73       224\n",
      "weighted avg       0.84      0.85      0.83       224\n",
      "\n",
      "dart 20 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 20 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 20 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 20 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 20 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 20 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 20 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 20 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 0 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.93       177\n",
      "         1.0       0.75      0.64      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.79      0.81       224\n",
      "weighted avg       0.87      0.88      0.88       224\n",
      "\n",
      "dart 21 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.66      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 21 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.66      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 21 3 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 21 4 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 21 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 21 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 21 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 21 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 21 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 21 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.53      0.61        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.74      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 21 11 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 21 12 0.8616071428571429\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 21 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 21 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 21 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 21 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 21 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 21 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 21 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 0 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.95      0.92       177\n",
      "         1.0       0.74      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.75      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 22 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 22 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 22 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 22 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 22 5 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 22 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 22 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 22 8 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 22 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.53      0.61        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.74      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 22 10 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 22 11 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 22 12 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 22 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 22 14 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.70      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.70      0.73       224\n",
      "weighted avg       0.83      0.84      0.83       224\n",
      "\n",
      "dart 22 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 22 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 22 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 22 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 22 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 29 0.7901785714285714\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 23 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.71      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 23 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.66      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 23 3 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 23 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 23 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 23 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 23 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 23 8 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 23 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.94      0.91       177\n",
      "         1.0       0.71      0.53      0.61        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.74      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 23 10 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 23 11 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 23 12 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 23 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 23 14 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.70      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.70      0.73       224\n",
      "weighted avg       0.83      0.84      0.83       224\n",
      "\n",
      "dart 23 15 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 23 16 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 23 17 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 23 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 23 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 23 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 0 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.95      0.92       177\n",
      "         1.0       0.75      0.57      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.76      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 24 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.92      0.92       177\n",
      "         1.0       0.69      0.66      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.79      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 24 2 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.92      0.92       177\n",
      "         1.0       0.69      0.66      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.79      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 24 3 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 24 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 24 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 24 6 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 24 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 24 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 24 9 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 24 10 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 24 11 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 24 12 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 24 13 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 24 14 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.70      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.70      0.73       224\n",
      "weighted avg       0.83      0.84      0.83       224\n",
      "\n",
      "dart 24 15 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 24 16 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 24 17 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 24 18 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 24 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 24 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 0 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.60      0.65        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.77      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 25 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 25 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 25 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 25 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 25 5 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 25 6 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 25 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 25 8 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 25 9 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 25 10 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 25 11 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 25 12 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 25 13 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 25 14 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.70      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.70      0.73       224\n",
      "weighted avg       0.83      0.84      0.83       224\n",
      "\n",
      "dart 25 15 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 25 16 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 25 17 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 25 18 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 25 19 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 25 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 25 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 0 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.93       177\n",
      "         1.0       0.75      0.64      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.79      0.81       224\n",
      "weighted avg       0.87      0.88      0.88       224\n",
      "\n",
      "dart 26 1 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.72      0.66      0.69        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.80      0.81       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 26 2 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.72      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 26 3 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 26 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 26 5 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 26 6 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 26 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 26 8 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.73      0.51      0.60        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.73      0.76       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 26 9 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 26 10 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 26 11 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 26 12 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 26 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 26 14 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.70      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.70      0.73       224\n",
      "weighted avg       0.83      0.84      0.83       224\n",
      "\n",
      "dart 26 15 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 26 16 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 26 17 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 26 18 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 26 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 26 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 26 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 26 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 0 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.94      0.92       177\n",
      "         1.0       0.73      0.64      0.68        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.79      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 27 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.66      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 27 2 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.70      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.78      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 27 3 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 27 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 27 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 27 6 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 27 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.71      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.77       224\n",
      "weighted avg       0.85      0.86      0.86       224\n",
      "\n",
      "dart 27 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 27 9 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 27 10 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 27 11 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 27 12 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.92       177\n",
      "         1.0       0.74      0.53      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.74      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 27 13 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.93      0.91       177\n",
      "         1.0       0.70      0.60      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.78       224\n",
      "weighted avg       0.86      0.86      0.86       224\n",
      "\n",
      "dart 27 14 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.87      0.95      0.91       177\n",
      "         1.0       0.70      0.45      0.55        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.70      0.73       224\n",
      "weighted avg       0.83      0.84      0.83       224\n",
      "\n",
      "dart 27 15 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 27 16 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 27 17 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 27 18 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 27 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 27 20 0.8169642857142857\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 27 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 0 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.93      0.91       177\n",
      "         1.0       0.70      0.60      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.78       224\n",
      "weighted avg       0.86      0.86      0.86       224\n",
      "\n",
      "dart 28 1 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92       177\n",
      "         1.0       0.68      0.68      0.68        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.80      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 28 2 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.92      0.92       177\n",
      "         1.0       0.69      0.66      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.79      0.79       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 28 3 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 28 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 28 5 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 28 6 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 28 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 28 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 28 9 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 28 10 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 28 11 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 28 12 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 28 13 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.93      0.91       177\n",
      "         1.0       0.70      0.60      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.78       224\n",
      "weighted avg       0.86      0.86      0.86       224\n",
      "\n",
      "dart 28 14 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.93      0.91       177\n",
      "         1.0       0.68      0.55      0.61        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.74      0.76       224\n",
      "weighted avg       0.84      0.85      0.85       224\n",
      "\n",
      "dart 28 15 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 28 16 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 28 17 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 28 18 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 28 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 28 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 28 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 0 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.73      0.57      0.64        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.76      0.78       224\n",
      "weighted avg       0.86      0.87      0.86       224\n",
      "\n",
      "dart 29 1 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.93      0.92       177\n",
      "         1.0       0.71      0.64      0.67        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.81      0.79      0.80       224\n",
      "weighted avg       0.87      0.87      0.87       224\n",
      "\n",
      "dart 29 2 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.92      0.91       177\n",
      "         1.0       0.68      0.64      0.66        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.78      0.79       224\n",
      "weighted avg       0.86      0.86      0.86       224\n",
      "\n",
      "dart 29 3 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.95      0.92       177\n",
      "         1.0       0.76      0.60      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.83      0.77      0.79       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 29 4 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n",
      "dart 29 5 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.62      0.67        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.78      0.80       224\n",
      "weighted avg       0.87      0.88      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 29 6 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 29 7 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.91       177\n",
      "         1.0       0.70      0.55      0.62        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 29 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.89      0.94      0.92       177\n",
      "         1.0       0.72      0.55      0.63        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.81      0.75      0.77       224\n",
      "weighted avg       0.85      0.86      0.85       224\n",
      "\n",
      "dart 29 9 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 29 10 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 29 11 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.94      0.92       177\n",
      "         1.0       0.74      0.60      0.66        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.82      0.77      0.79       224\n",
      "weighted avg       0.86      0.87      0.87       224\n",
      "\n",
      "dart 29 12 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 29 13 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.93      0.91       177\n",
      "         1.0       0.70      0.60      0.64        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.76      0.78       224\n",
      "weighted avg       0.86      0.86      0.86       224\n",
      "\n",
      "dart 29 14 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 29 15 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 29 16 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 29 17 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.95      0.91       177\n",
      "         1.0       0.72      0.49      0.58        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.80      0.72      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "dart 29 18 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 29 19 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 29 20 0.8169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.83      0.96      0.89       177\n",
      "         1.0       0.65      0.28      0.39        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.62      0.64       224\n",
      "weighted avg       0.79      0.82      0.79       224\n",
      "\n",
      "dart 29 21 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 22 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 23 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 24 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 25 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 26 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 27 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 28 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 29 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 29 0.7901785714285714\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.8839285714285714]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = []\n",
    "boosters = ['gbtree', 'gblinear', 'dart']\n",
    "sample_types = ['uniform', 'weighted']\n",
    "\n",
    "for booster in boosters:\n",
    "    for i in range(30):\n",
    "        if booster == ('dart' or 'gbtree'):\n",
    "            for c in range(30):\n",
    "                model=xgb.XGBClassifier(booster = booster, gamma = c, random_state=1, learning_rate=(i*0.01))\n",
    "                model.fit(X_train, y_train)\n",
    "                scores.append([model.score(X_test,y_test)])\n",
    "                print(booster, i, c, model.score(X_test,y_test))\n",
    "                y_pred = model.predict(X_test)\n",
    "                print(classification_report(y_test,y_pred))\n",
    "            \n",
    "        else:\n",
    "            model=xgb.XGBClassifier(booster = booster, random_state=1, learning_rate=(i*0.01))\n",
    "        model.fit(X_train, y_train)\n",
    "        scores.append([model.score(X_test,y_test)])\n",
    "        print(booster, i, model.score(X_test,y_test))\n",
    "        y_pred = model.predict(X_test)\n",
    "        print(classification_report(y_test,y_pred))\n",
    "        \n",
    "max(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8839285714285714"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model=xgb.XGBClassifier(boost = 'dart', random_state=1,learning_rate=0.2)\n",
    "model.fit(X_train, y_train)\n",
    "model.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[168   9]\n",
      " [ 17  30]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.95      0.93       177\n",
      "         1.0       0.77      0.64      0.70        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.84      0.79      0.81       224\n",
      "weighted avg       0.88      0.88      0.88       224\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(X_test)\n",
    "\n",
    "print(confusion_matrix(y_test,y_pred))\n",
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.20503084, 0.23129676, 0.56367236], dtype=float32)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this is the new result\n",
    "M1_sp_XGBoost=0.91\n",
    "M1_se_XGBoost=0.66\n",
    "M1_acc_XGBoost=0.86\n",
    "# this is the allowed error:\n",
    "M1_err_sp=0.00\n",
    "M1_err_se=0.0194\n",
    "M1_err_acc=0.00\n",
    "# this is the reference result:\n",
    "M1_sp=0.91\n",
    "M1_se=0.7206\n",
    "M1_acc=0.87\n",
    "# this is the gain or loss: new result minus reference result\n",
    "M1_sp_XGBoost_eval=(M1_sp_XGBoost-M1_sp)\n",
    "M1_se_XGBoost_eval=(M1_se_XGBoost-M1_se)\n",
    "M1_acc_XGBoost_eval=(M1_acc_XGBoost-M1_acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.2.1. Balanced Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BCF\n",
       "0.0    355\n",
       "1.0     94\n",
       "Name: BCF, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# BEFORE\n",
    "train1.groupby(['BCF'])['BCF'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BCF\n",
       "0.0    141\n",
       "1.0     94\n",
       "Name: BCF, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_cases = train1[train1['BCF'] == 1]\n",
    "negative_sample = train1[train1['BCF'] == 0].sample(141, random_state=0)\n",
    "train1_balanced = pd.concat([positive_cases,negative_sample])\n",
    "train1_balanced.sort_index(inplace=True)\n",
    "\n",
    "X_train_bal = train1_balanced.drop(['BCF'], axis=1)\n",
    "y_train_bal = train1_balanced['BCF']\n",
    "\n",
    "# AFTER\n",
    "train1_balanced.groupby(['BCF'])['BCF'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gbtree 1 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.82      0.89       177\n",
      "         1.0       0.58      0.94      0.72        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.88      0.80       224\n",
      "weighted avg       0.90      0.84      0.86       224\n",
      "\n",
      "gbtree 2 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.82      0.89       177\n",
      "         1.0       0.58      0.94      0.72        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.88      0.80       224\n",
      "weighted avg       0.90      0.84      0.86       224\n",
      "\n",
      "gbtree 3 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.82      0.90       177\n",
      "         1.0       0.59      0.94      0.72        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.88      0.81       224\n",
      "weighted avg       0.90      0.85      0.86       224\n",
      "\n",
      "gbtree 4 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.84      0.90       177\n",
      "         1.0       0.59      0.89      0.71        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.86      0.80       224\n",
      "weighted avg       0.89      0.85      0.86       224\n",
      "\n",
      "gbtree 5 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.85      0.90       177\n",
      "         1.0       0.60      0.87      0.71        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.86      0.81       224\n",
      "weighted avg       0.89      0.85      0.86       224\n",
      "\n",
      "gbtree 6 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.85      0.90       177\n",
      "         1.0       0.60      0.87      0.71        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.86      0.81       224\n",
      "weighted avg       0.89      0.85      0.86       224\n",
      "\n",
      "gbtree 7 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.86      0.91       177\n",
      "         1.0       0.63      0.87      0.73        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.87      0.82       224\n",
      "weighted avg       0.89      0.87      0.87       224\n",
      "\n",
      "gbtree 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.87      0.91       177\n",
      "         1.0       0.63      0.83      0.72        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.85      0.81       224\n",
      "weighted avg       0.88      0.86      0.87       224\n",
      "\n",
      "gbtree 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.87      0.91       177\n",
      "         1.0       0.62      0.81      0.70        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.78      0.84      0.80       224\n",
      "weighted avg       0.88      0.86      0.86       224\n",
      "\n",
      "gbtree 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.87      0.91       177\n",
      "         1.0       0.62      0.81      0.70        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.78      0.84      0.80       224\n",
      "weighted avg       0.88      0.86      0.86       224\n",
      "\n",
      "gbtree 11 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.87      0.91       177\n",
      "         1.0       0.62      0.81      0.70        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.78      0.84      0.80       224\n",
      "weighted avg       0.88      0.86      0.86       224\n",
      "\n",
      "gbtree 12 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.88      0.91       177\n",
      "         1.0       0.64      0.79      0.70        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.83      0.81       224\n",
      "weighted avg       0.88      0.86      0.87       224\n",
      "\n",
      "gbtree 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.87      0.90       177\n",
      "         1.0       0.62      0.79      0.69        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.83      0.80       224\n",
      "weighted avg       0.87      0.85      0.86       224\n",
      "\n",
      "gbtree 14 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.88      0.91       177\n",
      "         1.0       0.64      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.79      0.84      0.81       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "gbtree 15 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.88      0.91       177\n",
      "         1.0       0.63      0.81      0.71        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.84      0.81       224\n",
      "weighted avg       0.88      0.86      0.87       224\n",
      "\n",
      "gbtree 16 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "gbtree 17 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.89      0.92       177\n",
      "         1.0       0.66      0.79      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.84      0.82       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "gbtree 18 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.89      0.92       177\n",
      "         1.0       0.66      0.79      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.84      0.82       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "gbtree 19 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.88      0.91       177\n",
      "         1.0       0.64      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.79      0.84      0.81       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "gbtree 20 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.88      0.91       177\n",
      "         1.0       0.64      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.79      0.84      0.81       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "gbtree 21 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "gbtree 22 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "gbtree 23 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.89      0.92       177\n",
      "         1.0       0.66      0.79      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.84      0.82       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 24 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 25 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.83      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.86      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 26 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 27 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "gbtree 28 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 29 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gblinear 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 1 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.88      0.93      0.91       177\n",
      "         1.0       0.68      0.53      0.60        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.73      0.75       224\n",
      "weighted avg       0.84      0.85      0.84       224\n",
      "\n",
      "gblinear 2 0.8258928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.91      0.87      0.89       177\n",
      "         1.0       0.57      0.66      0.61        47\n",
      "\n",
      "    accuracy                           0.83       224\n",
      "   macro avg       0.74      0.76      0.75       224\n",
      "weighted avg       0.84      0.83      0.83       224\n",
      "\n",
      "gblinear 3 0.8348214285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.86      0.89       177\n",
      "         1.0       0.59      0.72      0.65        47\n",
      "\n",
      "    accuracy                           0.83       224\n",
      "   macro avg       0.75      0.79      0.77       224\n",
      "weighted avg       0.85      0.83      0.84       224\n",
      "\n",
      "gblinear 4 0.8214285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.85      0.88       177\n",
      "         1.0       0.56      0.72      0.63        47\n",
      "\n",
      "    accuracy                           0.82       224\n",
      "   macro avg       0.74      0.79      0.76       224\n",
      "weighted avg       0.84      0.82      0.83       224\n",
      "\n",
      "gblinear 5 0.8258928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.85      0.89       177\n",
      "         1.0       0.57      0.72      0.64        47\n",
      "\n",
      "    accuracy                           0.83       224\n",
      "   macro avg       0.74      0.79      0.76       224\n",
      "weighted avg       0.85      0.83      0.83       224\n",
      "\n",
      "gblinear 6 0.8258928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.85      0.89       177\n",
      "         1.0       0.57      0.72      0.64        47\n",
      "\n",
      "    accuracy                           0.83       224\n",
      "   macro avg       0.74      0.79      0.76       224\n",
      "weighted avg       0.85      0.83      0.83       224\n",
      "\n",
      "gblinear 7 0.8258928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.85      0.89       177\n",
      "         1.0       0.57      0.72      0.64        47\n",
      "\n",
      "    accuracy                           0.83       224\n",
      "   macro avg       0.74      0.79      0.76       224\n",
      "weighted avg       0.85      0.83      0.83       224\n",
      "\n",
      "gblinear 8 0.8258928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.85      0.89       177\n",
      "         1.0       0.57      0.72      0.64        47\n",
      "\n",
      "    accuracy                           0.83       224\n",
      "   macro avg       0.74      0.79      0.76       224\n",
      "weighted avg       0.85      0.83      0.83       224\n",
      "\n",
      "gblinear 9 0.8303571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.86      0.89       177\n",
      "         1.0       0.58      0.72      0.64        47\n",
      "\n",
      "    accuracy                           0.83       224\n",
      "   macro avg       0.75      0.79      0.77       224\n",
      "weighted avg       0.85      0.83      0.84       224\n",
      "\n",
      "gblinear 10 0.8348214285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.86      0.89       177\n",
      "         1.0       0.59      0.72      0.65        47\n",
      "\n",
      "    accuracy                           0.83       224\n",
      "   macro avg       0.75      0.79      0.77       224\n",
      "weighted avg       0.85      0.83      0.84       224\n",
      "\n",
      "gblinear 11 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.87      0.90       177\n",
      "         1.0       0.60      0.72      0.65        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.77       224\n",
      "weighted avg       0.85      0.84      0.84       224\n",
      "\n",
      "gblinear 12 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.87      0.90       177\n",
      "         1.0       0.60      0.72      0.65        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.77       224\n",
      "weighted avg       0.85      0.84      0.84       224\n",
      "\n",
      "gblinear 13 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.87      0.90       177\n",
      "         1.0       0.60      0.72      0.65        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.77       224\n",
      "weighted avg       0.85      0.84      0.84       224\n",
      "\n",
      "gblinear 14 0.8392857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.87      0.90       177\n",
      "         1.0       0.60      0.72      0.65        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.77       224\n",
      "weighted avg       0.85      0.84      0.84       224\n",
      "\n",
      "gblinear 15 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.61      0.72      0.66        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "gblinear 16 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.61      0.72      0.66        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "gblinear 17 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.61      0.72      0.66        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "gblinear 18 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.61      0.72      0.66        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "gblinear 19 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.61      0.72      0.66        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "gblinear 20 0.84375\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.61      0.72      0.66        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.76      0.80      0.78       224\n",
      "weighted avg       0.86      0.84      0.85       224\n",
      "\n",
      "gblinear 21 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.62      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.77      0.80      0.78       224\n",
      "weighted avg       0.86      0.85      0.85       224\n",
      "\n",
      "gblinear 22 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.62      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.77      0.80      0.78       224\n",
      "weighted avg       0.86      0.85      0.85       224\n",
      "\n",
      "gblinear 23 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.88      0.90       177\n",
      "         1.0       0.62      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.77      0.80      0.78       224\n",
      "weighted avg       0.86      0.85      0.85       224\n",
      "\n",
      "gblinear 24 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.89      0.90       177\n",
      "         1.0       0.63      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.81      0.79       224\n",
      "weighted avg       0.86      0.85      0.86       224\n",
      "\n",
      "gblinear 25 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.89      0.90       177\n",
      "         1.0       0.63      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.81      0.79       224\n",
      "weighted avg       0.86      0.85      0.86       224\n",
      "\n",
      "gblinear 26 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.89      0.90       177\n",
      "         1.0       0.63      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.81      0.79       224\n",
      "weighted avg       0.86      0.85      0.86       224\n",
      "\n",
      "gblinear 27 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.89      0.90       177\n",
      "         1.0       0.63      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.81      0.79       224\n",
      "weighted avg       0.86      0.85      0.86       224\n",
      "\n",
      "gblinear 28 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.89      0.90       177\n",
      "         1.0       0.63      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.81      0.79       224\n",
      "weighted avg       0.86      0.85      0.86       224\n",
      "\n",
      "gblinear 29 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.89      0.90       177\n",
      "         1.0       0.63      0.72      0.67        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.81      0.79       224\n",
      "weighted avg       0.86      0.85      0.86       224\n",
      "\n",
      "dart 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 1 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.82      0.89       177\n",
      "         1.0       0.58      0.94      0.72        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.88      0.80       224\n",
      "weighted avg       0.90      0.84      0.86       224\n",
      "\n",
      "dart 2 0.84375\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.82      0.89       177\n",
      "         1.0       0.58      0.94      0.72        47\n",
      "\n",
      "    accuracy                           0.84       224\n",
      "   macro avg       0.78      0.88      0.80       224\n",
      "weighted avg       0.90      0.84      0.86       224\n",
      "\n",
      "dart 3 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.82      0.90       177\n",
      "         1.0       0.59      0.94      0.72        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.88      0.81       224\n",
      "weighted avg       0.90      0.85      0.86       224\n",
      "\n",
      "dart 4 0.8482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.84      0.90       177\n",
      "         1.0       0.59      0.89      0.71        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.86      0.80       224\n",
      "weighted avg       0.89      0.85      0.86       224\n",
      "\n",
      "dart 5 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.85      0.90       177\n",
      "         1.0       0.60      0.87      0.71        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.86      0.81       224\n",
      "weighted avg       0.89      0.85      0.86       224\n",
      "\n",
      "dart 6 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.85      0.90       177\n",
      "         1.0       0.60      0.87      0.71        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.86      0.81       224\n",
      "weighted avg       0.89      0.85      0.86       224\n",
      "\n",
      "dart 7 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.86      0.91       177\n",
      "         1.0       0.63      0.87      0.73        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.87      0.82       224\n",
      "weighted avg       0.89      0.87      0.87       224\n",
      "\n",
      "dart 8 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.87      0.91       177\n",
      "         1.0       0.63      0.83      0.72        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.85      0.81       224\n",
      "weighted avg       0.88      0.86      0.87       224\n",
      "\n",
      "dart 9 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.87      0.91       177\n",
      "         1.0       0.62      0.81      0.70        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.78      0.84      0.80       224\n",
      "weighted avg       0.88      0.86      0.86       224\n",
      "\n",
      "dart 10 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.87      0.91       177\n",
      "         1.0       0.62      0.81      0.70        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.78      0.84      0.80       224\n",
      "weighted avg       0.88      0.86      0.86       224\n",
      "\n",
      "dart 11 0.8571428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.87      0.91       177\n",
      "         1.0       0.62      0.81      0.70        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.78      0.84      0.80       224\n",
      "weighted avg       0.88      0.86      0.86       224\n",
      "\n",
      "dart 12 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.88      0.91       177\n",
      "         1.0       0.64      0.79      0.70        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.83      0.81       224\n",
      "weighted avg       0.88      0.86      0.87       224\n",
      "\n",
      "dart 13 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.87      0.90       177\n",
      "         1.0       0.62      0.79      0.69        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.78      0.83      0.80       224\n",
      "weighted avg       0.87      0.85      0.86       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 14 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.88      0.91       177\n",
      "         1.0       0.64      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.79      0.84      0.81       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "dart 15 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.88      0.91       177\n",
      "         1.0       0.63      0.81      0.71        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.84      0.81       224\n",
      "weighted avg       0.88      0.86      0.87       224\n",
      "\n",
      "dart 16 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "dart 17 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.89      0.92       177\n",
      "         1.0       0.66      0.79      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.84      0.82       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "dart 18 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.89      0.92       177\n",
      "         1.0       0.66      0.79      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.84      0.82       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "dart 19 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.88      0.91       177\n",
      "         1.0       0.64      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.79      0.84      0.81       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "dart 20 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.88      0.91       177\n",
      "         1.0       0.64      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.79      0.84      0.81       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "dart 21 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "dart 22 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "dart 23 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.94      0.89      0.92       177\n",
      "         1.0       0.66      0.79      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.84      0.82       224\n",
      "weighted avg       0.88      0.87      0.87       224\n",
      "\n",
      "dart 24 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 25 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.83      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.86      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 26 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 27 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "dart 28 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 29 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.8794642857142857]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_bal = []\n",
    "boosters = ['gbtree', 'gblinear', 'dart']\n",
    "for booster in boosters:\n",
    "    for i in range(0, 30, 1):\n",
    "        model=xgb.XGBClassifier(booster = booster, random_state=1, learning_rate=(i*0.01))\n",
    "        model.fit(X_train_bal, y_train_bal)\n",
    "        scores_bal.append([model.score(X_test,y_test)])\n",
    "        print(booster, i, model.score(X_test,y_test))\n",
    "        y_pred = model.predict(X_test)\n",
    "        print(classification_report(y_test,y_pred))\n",
    "max(scores_bal)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.875"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "model=xgb.XGBClassifier(booster = 'gbtree', random_state=1,learning_rate=0.24)\n",
    "model.fit(X_train_bal, y_train_bal)\n",
    "model.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[158  19]\n",
      " [  9  38]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(X_test)\n",
    "\n",
    "print(confusion_matrix(y_test,y_pred))\n",
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this is the new result\n",
    "M2_sp_XGBoost=0.83\n",
    "M2_se_XGBoost=0.74\n",
    "M2_acc_XGBoost=0.81\n",
    "# this is the allowed error:\n",
    "M2_err_sp=0.00\n",
    "M2_err_se=0.0129\n",
    "M2_err_acc=0.01\n",
    "# this is the reference result:\n",
    "M2_sp=0.83\n",
    "M2_se=0.91\n",
    "M2_acc=0.85\n",
    "# this is the gain or loss: new result minus reference result\n",
    "M2_sp_XGBoost_eval=(M2_sp_XGBoost-M2_sp)\n",
    "M2_se_XGBoost_eval=(M2_se_XGBoost-M2_se)\n",
    "M2_acc_XGBoost_eval=(M2_acc_XGBoost-M2_acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.2.2 Balanced Model-SMOTE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "import imblearn\n",
    "from imblearn.over_sampling import SMOTE\n",
    "smote = SMOTE(random_state=0)\n",
    "X_train_resampled, y_train_resampled = smote.fit_sample(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gbtree 1 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.83      0.90       177\n",
      "         1.0       0.59      0.94      0.73        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.88      0.81       224\n",
      "weighted avg       0.90      0.85      0.86       224\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\37253\\Miniconda3\\lib\\site-packages\\sklearn\\metrics\\_classification.py:1268: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 2 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.83      0.90       177\n",
      "         1.0       0.59      0.94      0.73        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.88      0.81       224\n",
      "weighted avg       0.90      0.85      0.86       224\n",
      "\n",
      "gbtree 3 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.84      0.91       177\n",
      "         1.0       0.61      0.94      0.74        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.89      0.82       224\n",
      "weighted avg       0.90      0.86      0.87       224\n",
      "\n",
      "gbtree 4 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.85      0.91       177\n",
      "         1.0       0.62      0.94      0.75        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.89      0.83       224\n",
      "weighted avg       0.90      0.87      0.87       224\n",
      "\n",
      "gbtree 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.85      0.91       177\n",
      "         1.0       0.62      0.91      0.74        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.88      0.83       224\n",
      "weighted avg       0.90      0.87      0.87       224\n",
      "\n",
      "gbtree 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.86      0.91       177\n",
      "         1.0       0.63      0.91      0.75        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.89      0.83       224\n",
      "weighted avg       0.90      0.87      0.88       224\n",
      "\n",
      "gbtree 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.85      0.91       177\n",
      "         1.0       0.62      0.89      0.73        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.87      0.82       224\n",
      "weighted avg       0.89      0.86      0.87       224\n",
      "\n",
      "gbtree 8 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.87      0.91       177\n",
      "         1.0       0.63      0.85      0.73        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.86      0.82       224\n",
      "weighted avg       0.89      0.87      0.87       224\n",
      "\n",
      "gbtree 9 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.87      0.92       177\n",
      "         1.0       0.65      0.91      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "gbtree 10 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.87      0.92       177\n",
      "         1.0       0.65      0.91      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "gbtree 11 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.66      0.91      0.77        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.90      0.85       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "gbtree 12 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.66      0.89      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.88      0.84       224\n",
      "weighted avg       0.90      0.88      0.89       224\n",
      "\n",
      "gbtree 13 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.67      0.89      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "gbtree 14 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.67      0.89      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "gbtree 15 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.87      0.75        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.88      0.84       224\n",
      "weighted avg       0.90      0.88      0.89       224\n",
      "\n",
      "gbtree 16 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 17 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 18 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.67      0.89      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "gbtree 19 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 20 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 21 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 22 0.8973214285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.90      0.93       177\n",
      "         1.0       0.70      0.89      0.79        47\n",
      "\n",
      "    accuracy                           0.90       224\n",
      "   macro avg       0.83      0.90      0.86       224\n",
      "weighted avg       0.91      0.90      0.90       224\n",
      "\n",
      "gbtree 23 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "gbtree 24 0.8883928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.90      0.93       177\n",
      "         1.0       0.69      0.85      0.76        47\n",
      "\n",
      "    accuracy                           0.89       224\n",
      "   macro avg       0.82      0.87      0.84       224\n",
      "weighted avg       0.90      0.89      0.89       224\n",
      "\n",
      "gbtree 25 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.89      0.92       177\n",
      "         1.0       0.67      0.85      0.75        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.90      0.88      0.88       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 26 0.8883928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.89      0.93       177\n",
      "         1.0       0.68      0.87      0.77        47\n",
      "\n",
      "    accuracy                           0.89       224\n",
      "   macro avg       0.82      0.88      0.85       224\n",
      "weighted avg       0.90      0.89      0.89       224\n",
      "\n",
      "gbtree 27 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.83      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.86      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 28 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gbtree 29 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "gblinear 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 1 0.6741071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.62      0.75       177\n",
      "         1.0       0.38      0.89      0.54        47\n",
      "\n",
      "    accuracy                           0.67       224\n",
      "   macro avg       0.67      0.75      0.64       224\n",
      "weighted avg       0.84      0.67      0.70       224\n",
      "\n",
      "gblinear 2 0.6919642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.64      0.77       177\n",
      "         1.0       0.40      0.89      0.55        47\n",
      "\n",
      "    accuracy                           0.69       224\n",
      "   macro avg       0.68      0.77      0.66       224\n",
      "weighted avg       0.84      0.69      0.72       224\n",
      "\n",
      "gblinear 3 0.6919642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.64      0.77       177\n",
      "         1.0       0.40      0.89      0.55        47\n",
      "\n",
      "    accuracy                           0.69       224\n",
      "   macro avg       0.68      0.77      0.66       224\n",
      "weighted avg       0.84      0.69      0.72       224\n",
      "\n",
      "gblinear 4 0.7008928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.65      0.77       177\n",
      "         1.0       0.40      0.89      0.56        47\n",
      "\n",
      "    accuracy                           0.70       224\n",
      "   macro avg       0.68      0.77      0.67       224\n",
      "weighted avg       0.84      0.70      0.73       224\n",
      "\n",
      "gblinear 5 0.7008928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.65      0.77       177\n",
      "         1.0       0.40      0.89      0.56        47\n",
      "\n",
      "    accuracy                           0.70       224\n",
      "   macro avg       0.68      0.77      0.67       224\n",
      "weighted avg       0.84      0.70      0.73       224\n",
      "\n",
      "gblinear 6 0.7008928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.66      0.78       177\n",
      "         1.0       0.40      0.87      0.55        47\n",
      "\n",
      "    accuracy                           0.70       224\n",
      "   macro avg       0.68      0.76      0.66       224\n",
      "weighted avg       0.84      0.70      0.73       224\n",
      "\n",
      "gblinear 7 0.7053571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.66      0.78       177\n",
      "         1.0       0.41      0.87      0.55        47\n",
      "\n",
      "    accuracy                           0.71       224\n",
      "   macro avg       0.68      0.77      0.67       224\n",
      "weighted avg       0.84      0.71      0.73       224\n",
      "\n",
      "gblinear 8 0.7053571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.66      0.78       177\n",
      "         1.0       0.41      0.87      0.55        47\n",
      "\n",
      "    accuracy                           0.71       224\n",
      "   macro avg       0.68      0.77      0.67       224\n",
      "weighted avg       0.84      0.71      0.73       224\n",
      "\n",
      "gblinear 9 0.7142857142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.67      0.79       177\n",
      "         1.0       0.41      0.87      0.56        47\n",
      "\n",
      "    accuracy                           0.71       224\n",
      "   macro avg       0.68      0.77      0.67       224\n",
      "weighted avg       0.84      0.71      0.74       224\n",
      "\n",
      "gblinear 10 0.71875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.68      0.79       177\n",
      "         1.0       0.42      0.87      0.57        47\n",
      "\n",
      "    accuracy                           0.72       224\n",
      "   macro avg       0.69      0.78      0.68       224\n",
      "weighted avg       0.84      0.72      0.74       224\n",
      "\n",
      "gblinear 11 0.7232142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.68      0.80       177\n",
      "         1.0       0.42      0.87      0.57        47\n",
      "\n",
      "    accuracy                           0.72       224\n",
      "   macro avg       0.69      0.78      0.68       224\n",
      "weighted avg       0.84      0.72      0.75       224\n",
      "\n",
      "gblinear 12 0.7276785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.69      0.80       177\n",
      "         1.0       0.43      0.87      0.57        47\n",
      "\n",
      "    accuracy                           0.73       224\n",
      "   macro avg       0.69      0.78      0.69       224\n",
      "weighted avg       0.84      0.73      0.75       224\n",
      "\n",
      "gblinear 13 0.7366071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.70      0.81       177\n",
      "         1.0       0.44      0.87      0.58        47\n",
      "\n",
      "    accuracy                           0.74       224\n",
      "   macro avg       0.70      0.79      0.69       224\n",
      "weighted avg       0.85      0.74      0.76       224\n",
      "\n",
      "gblinear 14 0.7410714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.71      0.81       177\n",
      "         1.0       0.44      0.87      0.59        47\n",
      "\n",
      "    accuracy                           0.74       224\n",
      "   macro avg       0.70      0.79      0.70       224\n",
      "weighted avg       0.85      0.74      0.76       224\n",
      "\n",
      "gblinear 15 0.7455357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.71      0.82       177\n",
      "         1.0       0.45      0.87      0.59        47\n",
      "\n",
      "    accuracy                           0.75       224\n",
      "   macro avg       0.70      0.79      0.70       224\n",
      "weighted avg       0.85      0.75      0.77       224\n",
      "\n",
      "gblinear 16 0.75\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.72      0.82       177\n",
      "         1.0       0.45      0.87      0.59        47\n",
      "\n",
      "    accuracy                           0.75       224\n",
      "   macro avg       0.70      0.79      0.71       224\n",
      "weighted avg       0.85      0.75      0.77       224\n",
      "\n",
      "gblinear 17 0.75\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.72      0.82       177\n",
      "         1.0       0.45      0.87      0.59        47\n",
      "\n",
      "    accuracy                           0.75       224\n",
      "   macro avg       0.70      0.79      0.71       224\n",
      "weighted avg       0.85      0.75      0.77       224\n",
      "\n",
      "gblinear 18 0.7544642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.72      0.82       177\n",
      "         1.0       0.46      0.87      0.60        47\n",
      "\n",
      "    accuracy                           0.75       224\n",
      "   macro avg       0.71      0.80      0.71       224\n",
      "weighted avg       0.85      0.75      0.78       224\n",
      "\n",
      "gblinear 19 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.73      0.83       177\n",
      "         1.0       0.46      0.87      0.60        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.71      0.80      0.71       224\n",
      "weighted avg       0.85      0.76      0.78       224\n",
      "\n",
      "gblinear 20 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.73      0.83       177\n",
      "         1.0       0.46      0.87      0.60        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.71      0.80      0.71       224\n",
      "weighted avg       0.85      0.76      0.78       224\n",
      "\n",
      "gblinear 21 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.73      0.83       177\n",
      "         1.0       0.46      0.87      0.60        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.71      0.80      0.71       224\n",
      "weighted avg       0.85      0.76      0.78       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gblinear 22 0.7633928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.73      0.83       177\n",
      "         1.0       0.47      0.87      0.61        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.71      0.80      0.72       224\n",
      "weighted avg       0.85      0.76      0.78       224\n",
      "\n",
      "gblinear 23 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.74      0.83       177\n",
      "         1.0       0.47      0.87      0.61        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.71      0.81      0.72       224\n",
      "weighted avg       0.85      0.77      0.79       224\n",
      "\n",
      "gblinear 24 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.74      0.83       177\n",
      "         1.0       0.47      0.87      0.61        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.71      0.81      0.72       224\n",
      "weighted avg       0.85      0.77      0.79       224\n",
      "\n",
      "gblinear 25 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.74      0.83       177\n",
      "         1.0       0.47      0.87      0.61        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.71      0.81      0.72       224\n",
      "weighted avg       0.85      0.77      0.79       224\n",
      "\n",
      "gblinear 26 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.74      0.83       177\n",
      "         1.0       0.47      0.87      0.61        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.71      0.81      0.72       224\n",
      "weighted avg       0.85      0.77      0.79       224\n",
      "\n",
      "gblinear 27 0.7723214285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.75      0.84       177\n",
      "         1.0       0.48      0.87      0.62        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.72      0.81      0.73       224\n",
      "weighted avg       0.86      0.77      0.79       224\n",
      "\n",
      "gblinear 28 0.7723214285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.75      0.84       177\n",
      "         1.0       0.48      0.87      0.62        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.72      0.81      0.73       224\n",
      "weighted avg       0.86      0.77      0.79       224\n",
      "\n",
      "gblinear 29 0.7723214285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.75      0.84       177\n",
      "         1.0       0.48      0.87      0.62        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.72      0.81      0.73       224\n",
      "weighted avg       0.86      0.77      0.79       224\n",
      "\n",
      "dart 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 1 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.83      0.90       177\n",
      "         1.0       0.59      0.94      0.73        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.88      0.81       224\n",
      "weighted avg       0.90      0.85      0.86       224\n",
      "\n",
      "dart 2 0.8526785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.83      0.90       177\n",
      "         1.0       0.59      0.94      0.73        47\n",
      "\n",
      "    accuracy                           0.85       224\n",
      "   macro avg       0.79      0.88      0.81       224\n",
      "weighted avg       0.90      0.85      0.86       224\n",
      "\n",
      "dart 3 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.84      0.91       177\n",
      "         1.0       0.61      0.94      0.74        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.80      0.89      0.82       224\n",
      "weighted avg       0.90      0.86      0.87       224\n",
      "\n",
      "dart 4 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.85      0.91       177\n",
      "         1.0       0.62      0.94      0.75        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.89      0.83       224\n",
      "weighted avg       0.90      0.87      0.87       224\n",
      "\n",
      "dart 5 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.85      0.91       177\n",
      "         1.0       0.62      0.91      0.74        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.88      0.83       224\n",
      "weighted avg       0.90      0.87      0.87       224\n",
      "\n",
      "dart 6 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.86      0.91       177\n",
      "         1.0       0.63      0.91      0.75        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.89      0.83       224\n",
      "weighted avg       0.90      0.87      0.88       224\n",
      "\n",
      "dart 7 0.8616071428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.85      0.91       177\n",
      "         1.0       0.62      0.89      0.73        47\n",
      "\n",
      "    accuracy                           0.86       224\n",
      "   macro avg       0.79      0.87      0.82       224\n",
      "weighted avg       0.89      0.86      0.87       224\n",
      "\n",
      "dart 8 0.8660714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.87      0.91       177\n",
      "         1.0       0.63      0.85      0.73        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.86      0.82       224\n",
      "weighted avg       0.89      0.87      0.87       224\n",
      "\n",
      "dart 9 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.87      0.92       177\n",
      "         1.0       0.65      0.91      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "dart 10 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.87      0.92       177\n",
      "         1.0       0.65      0.91      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "dart 11 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.66      0.91      0.77        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.90      0.85       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "dart 12 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.66      0.89      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.88      0.84       224\n",
      "weighted avg       0.90      0.88      0.89       224\n",
      "\n",
      "dart 13 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.67      0.89      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "dart 14 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.67      0.89      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "dart 15 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.87      0.75        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.88      0.84       224\n",
      "weighted avg       0.90      0.88      0.89       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dart 16 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 17 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 18 0.8839285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.88      0.92       177\n",
      "         1.0       0.67      0.89      0.76        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.82      0.89      0.84       224\n",
      "weighted avg       0.91      0.88      0.89       224\n",
      "\n",
      "dart 19 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 20 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 21 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.88      0.92       177\n",
      "         1.0       0.66      0.85      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 22 0.8973214285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.90      0.93       177\n",
      "         1.0       0.70      0.89      0.79        47\n",
      "\n",
      "    accuracy                           0.90       224\n",
      "   macro avg       0.83      0.90      0.86       224\n",
      "weighted avg       0.91      0.90      0.90       224\n",
      "\n",
      "dart 23 0.8705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.81      0.72        47\n",
      "\n",
      "    accuracy                           0.87       224\n",
      "   macro avg       0.80      0.85      0.82       224\n",
      "weighted avg       0.88      0.87      0.88       224\n",
      "\n",
      "dart 24 0.8883928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.90      0.93       177\n",
      "         1.0       0.69      0.85      0.76        47\n",
      "\n",
      "    accuracy                           0.89       224\n",
      "   macro avg       0.82      0.87      0.84       224\n",
      "weighted avg       0.90      0.89      0.89       224\n",
      "\n",
      "dart 25 0.8794642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.89      0.92       177\n",
      "         1.0       0.67      0.85      0.75        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.87      0.83       224\n",
      "weighted avg       0.90      0.88      0.88       224\n",
      "\n",
      "dart 26 0.8883928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.96      0.89      0.93       177\n",
      "         1.0       0.68      0.87      0.77        47\n",
      "\n",
      "    accuracy                           0.89       224\n",
      "   macro avg       0.82      0.88      0.85       224\n",
      "weighted avg       0.90      0.89      0.89       224\n",
      "\n",
      "dart 27 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.83      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.86      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 28 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n",
      "dart 29 0.875\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.67      0.81      0.73        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.85      0.82       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.8973214285714286]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_resampled = []\n",
    "boosters = ['gbtree', 'gblinear', 'dart']\n",
    "for booster in boosters:\n",
    "    for i in range(30):\n",
    "        model=xgb.XGBClassifier(booster = booster, random_state=1, learning_rate=(i*0.01))\n",
    "        model.fit(X_train_resampled, y_train_resampled)\n",
    "        scores_resampled.append([model.score(X_test,y_test)])\n",
    "        print(booster, i, model.score(X_test,y_test))\n",
    "        y_pred = model.predict(X_test)\n",
    "        print(classification_report(y_test,y_pred))\n",
    "max(scores_resampled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.875"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model=xgb.XGBClassifier(booster='dart', random_state=1,learning_rate=0.27)\n",
    "model.fit(X_train_resampled, y_train_resampled)\n",
    "model.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[157  20]\n",
      " [  8  39]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.89      0.92       177\n",
      "         1.0       0.66      0.83      0.74        47\n",
      "\n",
      "    accuracy                           0.88       224\n",
      "   macro avg       0.81      0.86      0.83       224\n",
      "weighted avg       0.89      0.88      0.88       224\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(X_test)\n",
    "\n",
    "print(confusion_matrix(y_test,y_pred))\n",
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this is the new result\n",
    "M2_2_sp_XGBoost=0.85\n",
    "M2_2_se_XGBoost=0.75\n",
    "M2_2_acc_XGBoost=0.83\n",
    "# this is the allowed error:\n",
    "M2_2_err_sp=0.06\n",
    "M2_2_err_se=0.0571\n",
    "M2_2_err_acc=0.04\n",
    "# this is the reference result:\n",
    "M2_2_sp=0.89\n",
    "M2_2_se=0.84\n",
    "M2_2_acc=0.88\n",
    "# this is the gain or loss: new result minus reference result\n",
    "M2_2_sp_XGBoost_eval=(M2_2_sp_XGBoost-M2_2_sp)\n",
    "M2_2_se_XGBoost_eval=(M2_2_se_XGBoost-M2_2_se)\n",
    "M2_2_acc_XGBoost_eval=(M2_2_acc_XGBoost-M2_2_acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.3. Imbalanced model towards B compounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BCF\n",
       "0.0    355\n",
       "1.0     94\n",
       "Name: BCF, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# BEFORE\n",
    "train1.groupby(['BCF'])['BCF'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TopoPSA</th>\n",
       "      <th>WPATH</th>\n",
       "      <th>XLogP3</th>\n",
       "      <th>BCF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>-4.60</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>90.51</td>\n",
       "      <td>122.0</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>93.21</td>\n",
       "      <td>337.0</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>149.06</td>\n",
       "      <td>1884.0</td>\n",
       "      <td>1.83</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>36.60</td>\n",
       "      <td>142.0</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>997</td>\n",
       "      <td>0.00</td>\n",
       "      <td>680.0</td>\n",
       "      <td>6.89</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>999</td>\n",
       "      <td>0.00</td>\n",
       "      <td>470.0</td>\n",
       "      <td>5.81</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1002</td>\n",
       "      <td>0.00</td>\n",
       "      <td>470.0</td>\n",
       "      <td>6.75</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1003</td>\n",
       "      <td>89.52</td>\n",
       "      <td>1630.0</td>\n",
       "      <td>6.22</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1006</td>\n",
       "      <td>0.00</td>\n",
       "      <td>650.0</td>\n",
       "      <td>6.27</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>449 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      TopoPSA   WPATH  XLogP3  BCF\n",
       "0        0.00    46.0   -4.60  0.0\n",
       "1       90.51   122.0   -0.85  0.0\n",
       "4       93.21   337.0   -0.57  0.0\n",
       "6      149.06  1884.0    1.83  0.0\n",
       "9       36.60   142.0    0.28  0.0\n",
       "...       ...     ...     ...  ...\n",
       "997      0.00   680.0    6.89  1.0\n",
       "999      0.00   470.0    5.81  1.0\n",
       "1002     0.00   470.0    6.75  1.0\n",
       "1003    89.52  1630.0    6.22  1.0\n",
       "1006     0.00   650.0    6.27  1.0\n",
       "\n",
       "[449 rows x 4 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BCF\n",
       "0.0    16\n",
       "1.0    63\n",
       "Name: BCF, dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_cases = train1[train1['BCF'] == 1].sample(63, random_state=0)\n",
    "negative_sample = train1[train1['BCF'] == 0].sample(16, random_state=0)\n",
    "train1_imbalanced = pd.concat([positive_cases,negative_sample])\n",
    "train1_imbalanced.sort_index(inplace=True)\n",
    "\n",
    "X_train_imbal = train1_imbalanced.drop(['BCF'], axis=1)\n",
    "y_train_imbal = train1_imbalanced['BCF']\n",
    "# AFTER\n",
    "train1_imbalanced.groupby(['BCF'])['BCF'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gbtree 1 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "gbtree 2 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "gbtree 3 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "gbtree 4 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "gbtree 5 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "gbtree 6 0.7633928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.73      0.83      0.73       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "gbtree 7 0.7633928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.73      0.83      0.73       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "gbtree 8 0.7633928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.73      0.83      0.73       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "gbtree 9 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 10 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 11 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 12 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 13 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 14 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 15 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 16 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 17 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 18 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "gbtree 19 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "gbtree 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.75      0.85       177\n",
      "         1.0       0.50      0.96      0.66        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.74      0.85      0.75       224\n",
      "weighted avg       0.88      0.79      0.81       224\n",
      "\n",
      "gbtree 21 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "gbtree 22 0.7946428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.75      0.85       177\n",
      "         1.0       0.51      0.96      0.66        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.75      0.85      0.76       224\n",
      "weighted avg       0.88      0.79      0.81       224\n",
      "\n",
      "gbtree 23 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "gbtree 24 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gbtree 25 0.7946428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.75      0.85       177\n",
      "         1.0       0.51      0.96      0.66        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.75      0.85      0.76       224\n",
      "weighted avg       0.88      0.79      0.81       224\n",
      "\n",
      "gbtree 26 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "gbtree 27 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "gbtree 28 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "gbtree 29 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "gblinear 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "gblinear 1 0.21428571428571427\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.01      0.01       177\n",
      "         1.0       0.21      1.00      0.35        47\n",
      "\n",
      "    accuracy                           0.21       224\n",
      "   macro avg       0.61      0.50      0.18       224\n",
      "weighted avg       0.83      0.21      0.08       224\n",
      "\n",
      "gblinear 2 0.23214285714285715\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.03      0.05       177\n",
      "         1.0       0.21      1.00      0.35        47\n",
      "\n",
      "    accuracy                           0.23       224\n",
      "   macro avg       0.61      0.51      0.20       224\n",
      "weighted avg       0.84      0.23      0.12       224\n",
      "\n",
      "gblinear 3 0.28125\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.09      0.17       177\n",
      "         1.0       0.23      1.00      0.37        47\n",
      "\n",
      "    accuracy                           0.28       224\n",
      "   macro avg       0.61      0.55      0.27       224\n",
      "weighted avg       0.84      0.28      0.21       224\n",
      "\n",
      "gblinear 4 0.29910714285714285\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.11      0.20       177\n",
      "         1.0       0.23      1.00      0.37        47\n",
      "\n",
      "    accuracy                           0.30       224\n",
      "   macro avg       0.62      0.56      0.29       224\n",
      "weighted avg       0.84      0.30      0.24       224\n",
      "\n",
      "gblinear 5 0.3169642857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.14      0.24       177\n",
      "         1.0       0.23      1.00      0.38        47\n",
      "\n",
      "    accuracy                           0.32       224\n",
      "   macro avg       0.62      0.57      0.31       224\n",
      "weighted avg       0.84      0.32      0.27       224\n",
      "\n",
      "gblinear 6 0.33482142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.16      0.27       177\n",
      "         1.0       0.24      1.00      0.39        47\n",
      "\n",
      "    accuracy                           0.33       224\n",
      "   macro avg       0.62      0.58      0.33       224\n",
      "weighted avg       0.84      0.33      0.30       224\n",
      "\n",
      "gblinear 7 0.3482142857142857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.18      0.30       177\n",
      "         1.0       0.24      1.00      0.39        47\n",
      "\n",
      "    accuracy                           0.35       224\n",
      "   macro avg       0.62      0.59      0.34       224\n",
      "weighted avg       0.84      0.35      0.32       224\n",
      "\n",
      "gblinear 8 0.35267857142857145\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.18      0.31       177\n",
      "         1.0       0.24      1.00      0.39        47\n",
      "\n",
      "    accuracy                           0.35       224\n",
      "   macro avg       0.62      0.59      0.35       224\n",
      "weighted avg       0.84      0.35      0.32       224\n",
      "\n",
      "gblinear 9 0.35714285714285715\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.19      0.31       177\n",
      "         1.0       0.25      1.00      0.39        47\n",
      "\n",
      "    accuracy                           0.36       224\n",
      "   macro avg       0.62      0.59      0.35       224\n",
      "weighted avg       0.84      0.36      0.33       224\n",
      "\n",
      "gblinear 10 0.35714285714285715\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.19      0.31       177\n",
      "         1.0       0.25      1.00      0.39        47\n",
      "\n",
      "    accuracy                           0.36       224\n",
      "   macro avg       0.62      0.59      0.35       224\n",
      "weighted avg       0.84      0.36      0.33       224\n",
      "\n",
      "gblinear 11 0.36160714285714285\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.19      0.32       177\n",
      "         1.0       0.25      1.00      0.40        47\n",
      "\n",
      "    accuracy                           0.36       224\n",
      "   macro avg       0.62      0.60      0.36       224\n",
      "weighted avg       0.84      0.36      0.34       224\n",
      "\n",
      "gblinear 12 0.36160714285714285\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.19      0.32       177\n",
      "         1.0       0.25      1.00      0.40        47\n",
      "\n",
      "    accuracy                           0.36       224\n",
      "   macro avg       0.62      0.60      0.36       224\n",
      "weighted avg       0.84      0.36      0.34       224\n",
      "\n",
      "gblinear 13 0.3705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.20      0.34       177\n",
      "         1.0       0.25      1.00      0.40        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.62      0.60      0.37       224\n",
      "weighted avg       0.84      0.37      0.35       224\n",
      "\n",
      "gblinear 14 0.3705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      0.20      0.34       177\n",
      "         1.0       0.25      1.00      0.40        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.62      0.60      0.37       224\n",
      "weighted avg       0.84      0.37      0.35       224\n",
      "\n",
      "gblinear 15 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 16 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 17 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 18 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 19 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 20 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 21 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gblinear 22 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 23 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 24 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 25 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 26 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 27 0.36607142857142855\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.20      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.36       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 28 0.3705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.21      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.37       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "gblinear 29 0.3705357142857143\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.21      0.34       177\n",
      "         1.0       0.25      0.98      0.39        47\n",
      "\n",
      "    accuracy                           0.37       224\n",
      "   macro avg       0.61      0.59      0.37       224\n",
      "weighted avg       0.82      0.37      0.35       224\n",
      "\n",
      "dart 0 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.79      1.00      0.88       177\n",
      "         1.0       0.00      0.00      0.00        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.40      0.50      0.44       224\n",
      "weighted avg       0.62      0.79      0.70       224\n",
      "\n",
      "dart 1 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "dart 2 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "dart 3 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "dart 4 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "dart 5 0.7589285714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.82       177\n",
      "         1.0       0.46      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.72      0.83      0.72       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "dart 6 0.7633928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.73      0.83      0.73       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "dart 7 0.7633928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.73      0.83      0.73       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "dart 8 0.7633928571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.71      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.76       224\n",
      "   macro avg       0.73      0.83      0.73       224\n",
      "weighted avg       0.88      0.76      0.78       224\n",
      "\n",
      "dart 9 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 10 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 11 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 12 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 13 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 14 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 15 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 16 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 17 0.7678571428571429\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 18 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "dart 19 0.7678571428571429\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n",
      "dart 20 0.7901785714285714\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.75      0.85       177\n",
      "         1.0       0.50      0.96      0.66        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.74      0.85      0.75       224\n",
      "weighted avg       0.88      0.79      0.81       224\n",
      "\n",
      "dart 21 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "dart 22 0.7946428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.75      0.85       177\n",
      "         1.0       0.51      0.96      0.66        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.75      0.85      0.76       224\n",
      "weighted avg       0.88      0.79      0.81       224\n",
      "\n",
      "dart 23 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "dart 24 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "dart 25 0.7946428571428571\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.75      0.85       177\n",
      "         1.0       0.51      0.96      0.66        47\n",
      "\n",
      "    accuracy                           0.79       224\n",
      "   macro avg       0.75      0.85      0.76       224\n",
      "weighted avg       0.88      0.79      0.81       224\n",
      "\n",
      "dart 26 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "dart 27 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "dart 28 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n",
      "dart 29 0.8035714285714286\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.99      0.76      0.86       177\n",
      "         1.0       0.52      0.96      0.67        47\n",
      "\n",
      "    accuracy                           0.80       224\n",
      "   macro avg       0.75      0.86      0.77       224\n",
      "weighted avg       0.89      0.80      0.82       224\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.8035714285714286]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_imbal = []\n",
    "boosters = ['gbtree', 'gblinear', 'dart']\n",
    "for booster in boosters:\n",
    "    for i in range(30):\n",
    "        model=xgb.XGBClassifier(booster = booster, random_state=1, learning_rate=(i*0.01))\n",
    "        model.fit(X_train_imbal, y_train_imbal)\n",
    "        scores_imbal.append([model.score(X_test,y_test)])\n",
    "        print(booster, i, model.score(X_test,y_test))\n",
    "        y_pred = model.predict(X_test)\n",
    "        print(classification_report(y_test,y_pred))\n",
    "max(scores_imbal)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7678571428571429"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model=xgb.XGBClassifier(booster = 'gbtree', random_state=1,learning_rate=0.11)\n",
    "model.fit(X_train_imbal, y_train_imbal)\n",
    "model.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[127  50]\n",
      " [  2  45]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.72      0.83       177\n",
      "         1.0       0.47      0.96      0.63        47\n",
      "\n",
      "    accuracy                           0.77       224\n",
      "   macro avg       0.73      0.84      0.73       224\n",
      "weighted avg       0.88      0.77      0.79       224\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(X_test)\n",
    "\n",
    "\n",
    "print(confusion_matrix(y_test,y_pred))\n",
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this is the new result\n",
    "M3_sp_XGBoost=0.79\n",
    "M3_se_XGBoost=0.98\n",
    "M3_acc_XGBoost=0.83\n",
    "# this is the allowed error:\n",
    "M3_err_sp=0.0692\n",
    "M3_err_se=0.00\n",
    "M3_err_acc=0.057\n",
    "# this is the reference result:\n",
    "M3_sp=0.6\n",
    "M3_se=1.00\n",
    "M3_acc=0.68\n",
    "# this is the gain or loss: new result minus reference result\n",
    "M3_sp_XGBoost_eval=(M3_sp_XGBoost-M3_sp)\n",
    "M3_se_XGBoost_eval=(M3_se_XGBoost-M3_se)\n",
    "M3_acc_XGBoost_eval=(M3_acc_XGBoost-M3_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Model</th>\n",
       "      <th>Sp_new_res</th>\n",
       "      <th>Sp_allowed_err</th>\n",
       "      <th>Sp_ref_result</th>\n",
       "      <th>Sp_gain/loss</th>\n",
       "      <th>Se_new_res</th>\n",
       "      <th>Se_allowed_err</th>\n",
       "      <th>Se_ref_result</th>\n",
       "      <th>Se_gain/loss</th>\n",
       "      <th>Acc_new_res</th>\n",
       "      <th>Acc_allowed_err</th>\n",
       "      <th>Acc_ref_result</th>\n",
       "      <th>Acc_gain/loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M1:XGBoost</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.0194</td>\n",
       "      <td>0.7206</td>\n",
       "      <td>-0.0606</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.87</td>\n",
       "      <td>-0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M2:XGBoost</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.0129</td>\n",
       "      <td>0.9100</td>\n",
       "      <td>-0.1700</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.85</td>\n",
       "      <td>-0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M2_2:XGBoost</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.0600</td>\n",
       "      <td>0.89</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0571</td>\n",
       "      <td>0.8400</td>\n",
       "      <td>-0.0900</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.040</td>\n",
       "      <td>0.88</td>\n",
       "      <td>-0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M3:XGBoost</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.0692</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>-0.0200</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Model  Sp_new_res  Sp_allowed_err  Sp_ref_result  Sp_gain/loss  \\\n",
       "0    M1:XGBoost        0.91          0.0000           0.91          0.00   \n",
       "1    M2:XGBoost        0.83          0.0000           0.83          0.00   \n",
       "2  M2_2:XGBoost        0.85          0.0600           0.89         -0.04   \n",
       "3    M3:XGBoost        0.79          0.0692           0.60          0.19   \n",
       "\n",
       "   Se_new_res  Se_allowed_err  Se_ref_result  Se_gain/loss  Acc_new_res  \\\n",
       "0        0.66          0.0194         0.7206       -0.0606         0.86   \n",
       "1        0.74          0.0129         0.9100       -0.1700         0.81   \n",
       "2        0.75          0.0571         0.8400       -0.0900         0.83   \n",
       "3        0.98          0.0000         1.0000       -0.0200         0.83   \n",
       "\n",
       "   Acc_allowed_err  Acc_ref_result  Acc_gain/loss  \n",
       "0            0.000            0.87          -0.01  \n",
       "1            0.010            0.85          -0.04  \n",
       "2            0.040            0.88          -0.05  \n",
       "3            0.057            0.68           0.15  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = pd.DataFrame({ 'Model' : pd.Categorical([\"M1:XGBoost\",\"M2:XGBoost\",\"M2_2:XGBoost\",\"M3:XGBoost\"]),\n",
    "                    'Sp_new_res' : [M1_sp_XGBoost,M2_sp_XGBoost,M2_2_sp_XGBoost,M3_sp_XGBoost],\n",
    "                    'Sp_allowed_err' : [M1_err_sp,M2_err_sp,M2_2_err_sp,M3_err_sp],\n",
    "                    'Sp_ref_result' : [M1_sp,M2_sp,M2_2_sp,M3_sp],\n",
    "                    'Sp_gain/loss' : [M1_sp_XGBoost_eval,M2_sp_XGBoost_eval,M2_2_sp_XGBoost_eval,M3_sp_XGBoost_eval],\n",
    "                    'Se_new_res' : [M1_se_XGBoost,M2_se_XGBoost,M2_2_se_XGBoost,M3_se_XGBoost],\n",
    "                    'Se_allowed_err' : [M1_err_se,M2_err_se,M2_2_err_se,M3_err_se],\n",
    "                    'Se_ref_result' : [M1_se,M2_se,M2_2_se,M3_se],\n",
    "                    'Se_gain/loss' : [M1_se_XGBoost_eval,M2_se_XGBoost_eval,M2_2_se_XGBoost_eval,M3_se_XGBoost_eval],\n",
    "                    'Acc_new_res' : [M1_acc_XGBoost,M2_acc_XGBoost,M2_2_acc_XGBoost,M3_acc_XGBoost],\n",
    "                    'Acc_allowed_err' : [M1_err_acc,M2_err_acc,M2_2_err_acc,M3_err_acc],\n",
    "                    'Acc_ref_result' : [M1_acc,M2_acc,M2_2_acc,M3_acc],\n",
    "                    'Acc_gain/loss' : [M1_acc_XGBoost_eval,M2_acc_XGBoost_eval,M2_2_acc_XGBoost_eval,M3_acc_XGBoost_eval], })\n",
    "results\n",
    "## it is more important to find a model with higher sensitivity and \n",
    "## reasonable specificity for the classification of BCF!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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