5.2_Model_RFR_predictor.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Forest Regression\n",
    "Important:I should also try with sales/customer for a specific store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "_cell_guid": "b9000568-0a4d-8bbc-0f59-12b581bfb150"
   },
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = (15, 6)\n",
    "plt.rcParams['figure.figsize'] = [20.0,8.0]\n",
    "plt.rcParams['figure.dpi']=80"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "_cell_guid": "da09e07b-fdfc-30b1-dfff-ad7dc625d15a"
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"dataset/ARIMA_prep_train.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean = df.groupby('StoreID')['NumberOfSales'].mean()\n",
    "def meanSales(value):\n",
    "    return mean.iloc[value-1000]\n",
    "\n",
    "df['MeanStoreSales'] = df.StoreID.apply(meanSales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Result was not good\n",
    "\n",
    "#sales_of_store = df.groupby('StoreID')['NumberOfSales'].sum()\n",
    "#customers_per_store = df.groupby('StoreID')['NumberOfCustomers'].sum()\n",
    "#sales_per_customer = sales_of_store / customers_per_store\n",
    "\n",
    "#def spc(value):\n",
    " #   return sales_per_customer.iloc[value-1000]\n",
    "\n",
    "# df['Sales_per_customer'] = df.StoreID.apply(spc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "events = [\n",
    "    'Fog',\n",
    "    'Hail',\n",
    "    'Rain',\n",
    "    'Snow',\n",
    "    'Thunderstorm'\n",
    "]\n",
    "\n",
    "for event in events:\n",
    "    df[event] = df.Events.apply(lambda x: 1 if event in x else 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating additional attributes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Year'] = df['Date'].apply(lambda x: int(x[:4]))\n",
    "df['Month'] = df['Date'].apply(lambda x: int(x[5:7]))\n",
    "df['Day'] = df['Date'].apply(lambda x: int(x[8:10]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Date'] = pd.to_datetime(df['Date'], errors='coerce')\n",
    "df['day_of_week'] = df['Date'].dt.dayofweek"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# RANDOM FOREST REGRESSION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(['NumberOfCustomers','IsOpen','Date','StoreID','Region','Events','Day_of_week'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>IsHoliday</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HasPromotions</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NearestCompetitor</th>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberOfSales</th>\n",
       "      <td>7109.000000</td>\n",
       "      <td>8041.000000</td>\n",
       "      <td>7890.000000</td>\n",
       "      <td>6005.000000</td>\n",
       "      <td>8550.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_AreaKM2</th>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_GDP</th>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_PopulationK</th>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CloudCover</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_Humidity</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>59.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_TemperatureC</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_Wind_SpeedKm_h</th>\n",
       "      <td>32.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_Humidity</th>\n",
       "      <td>89.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>42.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_TemperatureC</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_VisibilityKm</th>\n",
       "      <td>21.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_Wind_SpeedKm_h</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>24.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Min_Dew_PointC</th>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-4.000000</td>\n",
       "      <td>-6.000000</td>\n",
       "      <td>-10.000000</td>\n",
       "      <td>-12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Min_TemperatureC</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Precipitationmm</th>\n",
       "      <td>5.080000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-14</th>\n",
       "      <td>8804.000000</td>\n",
       "      <td>7823.000000</td>\n",
       "      <td>7989.000000</td>\n",
       "      <td>5895.000000</td>\n",
       "      <td>6348.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-7</th>\n",
       "      <td>6014.000000</td>\n",
       "      <td>6087.000000</td>\n",
       "      <td>6962.000000</td>\n",
       "      <td>6618.000000</td>\n",
       "      <td>9183.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-1</th>\n",
       "      <td>8155.000000</td>\n",
       "      <td>7109.000000</td>\n",
       "      <td>8041.000000</td>\n",
       "      <td>7890.000000</td>\n",
       "      <td>7675.446488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-2</th>\n",
       "      <td>9183.000000</td>\n",
       "      <td>8155.000000</td>\n",
       "      <td>7109.000000</td>\n",
       "      <td>8041.000000</td>\n",
       "      <td>6005.000000</td>\n",
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       "    <tr>\n",
       "      <th>t-9</th>\n",
       "      <td>6348.000000</td>\n",
       "      <td>4738.000000</td>\n",
       "      <td>6014.000000</td>\n",
       "      <td>6087.000000</td>\n",
       "      <td>6618.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-8</th>\n",
       "      <td>4738.000000</td>\n",
       "      <td>6014.000000</td>\n",
       "      <td>6087.000000</td>\n",
       "      <td>6962.000000</td>\n",
       "      <td>7675.446488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-6</th>\n",
       "      <td>6087.000000</td>\n",
       "      <td>6962.000000</td>\n",
       "      <td>6618.000000</td>\n",
       "      <td>7675.446488</td>\n",
       "      <td>8155.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-15</th>\n",
       "      <td>9019.000000</td>\n",
       "      <td>8804.000000</td>\n",
       "      <td>7823.000000</td>\n",
       "      <td>7989.000000</td>\n",
       "      <td>7675.446488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-21</th>\n",
       "      <td>5676.000000</td>\n",
       "      <td>8111.000000</td>\n",
       "      <td>8300.000000</td>\n",
       "      <td>7154.000000</td>\n",
       "      <td>10110.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-13</th>\n",
       "      <td>7823.000000</td>\n",
       "      <td>7989.000000</td>\n",
       "      <td>5895.000000</td>\n",
       "      <td>7675.446488</td>\n",
       "      <td>4738.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t-20</th>\n",
       "      <td>8111.000000</td>\n",
       "      <td>8300.000000</td>\n",
       "      <td>7154.000000</td>\n",
       "      <td>7675.446488</td>\n",
       "      <td>9019.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MeanStoreSales</th>\n",
       "      <td>7693.648313</td>\n",
       "      <td>7693.648313</td>\n",
       "      <td>7693.648313</td>\n",
       "      <td>7693.648313</td>\n",
       "      <td>7693.648313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fog</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hail</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorm</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>28.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day_of_week</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                0             1             2             3  \\\n",
       "IsHoliday                0.000000      0.000000      0.000000      0.000000   \n",
       "HasPromotions            1.000000      1.000000      1.000000      0.000000   \n",
       "NearestCompetitor      326.000000    326.000000    326.000000    326.000000   \n",
       "NumberOfSales         7109.000000   8041.000000   7890.000000   6005.000000   \n",
       "Region_AreaKM2        9643.000000   9643.000000   9643.000000   9643.000000   \n",
       "Region_GDP           17130.000000  17130.000000  17130.000000  17130.000000   \n",
       "Region_PopulationK    2770.000000   2770.000000   2770.000000   2770.000000   \n",
       "CloudCover               6.000000      6.000000      5.000000      7.000000   \n",
       "Max_Humidity           100.000000     87.000000     93.000000     64.000000   \n",
       "Max_TemperatureC         9.000000      5.000000      7.000000      3.000000   \n",
       "Max_Wind_SpeedKm_h      32.000000     21.000000     34.000000     34.000000   \n",
       "Mean_Humidity           89.000000     71.000000     61.000000     52.000000   \n",
       "Mean_TemperatureC        5.000000      3.000000      3.000000      1.000000   \n",
       "Mean_VisibilityKm       21.000000     22.000000     23.000000     24.000000   \n",
       "Mean_Wind_SpeedKm_h     10.000000     11.000000     14.000000     23.000000   \n",
       "Min_Dew_PointC          -1.000000     -4.000000     -6.000000    -10.000000   \n",
       "Min_TemperatureC         1.000000      1.000000     -1.000000     -1.000000   \n",
       "Precipitationmm          5.080000      0.000000      0.000000      0.000000   \n",
       "t-14                  8804.000000   7823.000000   7989.000000   5895.000000   \n",
       "t-7                   6014.000000   6087.000000   6962.000000   6618.000000   \n",
       "t-1                   8155.000000   7109.000000   8041.000000   7890.000000   \n",
       "t-2                   9183.000000   8155.000000   7109.000000   8041.000000   \n",
       "t-9                   6348.000000   4738.000000   6014.000000   6087.000000   \n",
       "t-8                   4738.000000   6014.000000   6087.000000   6962.000000   \n",
       "t-6                   6087.000000   6962.000000   6618.000000   7675.446488   \n",
       "t-15                  9019.000000   8804.000000   7823.000000   7989.000000   \n",
       "t-21                  5676.000000   8111.000000   8300.000000   7154.000000   \n",
       "t-13                  7823.000000   7989.000000   5895.000000   7675.446488   \n",
       "t-20                  8111.000000   8300.000000   7154.000000   7675.446488   \n",
       "MeanStoreSales        7693.648313   7693.648313   7693.648313   7693.648313   \n",
       "Fog                      0.000000      0.000000      0.000000      0.000000   \n",
       "Hail                     0.000000      0.000000      0.000000      0.000000   \n",
       "Rain                     1.000000      1.000000      0.000000      0.000000   \n",
       "Snow                     0.000000      1.000000      0.000000      0.000000   \n",
       "Thunderstorm             0.000000      0.000000      0.000000      0.000000   \n",
       "Year                  2016.000000   2016.000000   2016.000000   2016.000000   \n",
       "Month                    3.000000      3.000000      3.000000      3.000000   \n",
       "Day                     23.000000     24.000000     25.000000     26.000000   \n",
       "day_of_week              2.000000      3.000000      4.000000      5.000000   \n",
       "\n",
       "                                4  \n",
       "IsHoliday                0.000000  \n",
       "HasPromotions            1.000000  \n",
       "NearestCompetitor      326.000000  \n",
       "NumberOfSales         8550.000000  \n",
       "Region_AreaKM2        9643.000000  \n",
       "Region_GDP           17130.000000  \n",
       "Region_PopulationK    2770.000000  \n",
       "CloudCover               6.000000  \n",
       "Max_Humidity            59.000000  \n",
       "Max_TemperatureC         3.000000  \n",
       "Max_Wind_SpeedKm_h      32.000000  \n",
       "Mean_Humidity           42.000000  \n",
       "Mean_TemperatureC        0.000000  \n",
       "Mean_VisibilityKm       26.000000  \n",
       "Mean_Wind_SpeedKm_h     24.000000  \n",
       "Min_Dew_PointC         -12.000000  \n",
       "Min_TemperatureC        -3.000000  \n",
       "Precipitationmm          0.000000  \n",
       "t-14                  6348.000000  \n",
       "t-7                   9183.000000  \n",
       "t-1                   7675.446488  \n",
       "t-2                   6005.000000  \n",
       "t-9                   6618.000000  \n",
       "t-8                   7675.446488  \n",
       "t-6                   8155.000000  \n",
       "t-15                  7675.446488  \n",
       "t-21                 10110.000000  \n",
       "t-13                  4738.000000  \n",
       "t-20                  9019.000000  \n",
       "MeanStoreSales        7693.648313  \n",
       "Fog                      0.000000  \n",
       "Hail                     0.000000  \n",
       "Rain                     0.000000  \n",
       "Snow                     0.000000  \n",
       "Thunderstorm             0.000000  \n",
       "Year                  2016.000000  \n",
       "Month                    3.000000  \n",
       "Day                     28.000000  \n",
       "day_of_week              0.000000  "
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(['AssortmentType_WithNFDept'\\\n",
    "             ,'AssortmentType_WithFishDept','AssortmentType_General','StoreType_SuperMarket','StoreType_HyperMarket','StoreType_StandardMarket'\\\n",
    "              ,'StoreType_ShoppingCenter','Is_Friday','Is_Monday','Is_Saturday','Is_Sunday','Is_Thursday','Is_Tuesday','Is_Wednesday'], axis=1)\n",
    "df.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "_cell_guid": "c419d49f-961e-6b70-b7a9-2e1cf1298b9e"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.model_selection import validation_curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "_cell_guid": "cf6d4c8b-9383-eabb-c023-21780d4bd98d"
   },
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(df.drop('NumberOfSales', axis=1).values, df.NumberOfSales.values,\\\n",
    "                                                    test_size = 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "_cell_guid": "018cf318-6e90-ff0a-5df8-af606ae38f21"
   },
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "_cell_guid": "acde2395-2cb5-fd85-1d27-0116f20069bf"
   },
   "outputs": [],
   "source": [
    "params = range(5, 41, 5)  #50,201,50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "_cell_guid": "f61adc33-97d5-3166-1ee0-34b985e8f689"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Done  20 out of  40 | elapsed:   55.7s remaining:   55.7s\n",
      "[Parallel(n_jobs=-1)]: Done  40 out of  40 | elapsed:  2.0min finished\n"
     ]
    }
   ],
   "source": [
    "scores, tst_scr = validation_curve(RandomForestRegressor(), X_train[:20000],\\\n",
    "                                   y_train[:20000], 'n_estimators', params, \\\n",
    "                                   cv=5, scoring='r2',n_jobs=-1, verbose=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "_cell_guid": "c2464b2d-1459-2950-49b4-8b29843e4b19"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0xbd47860>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0xca73e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores_mean = scores.mean(axis=1)\n",
    "scores_std = scores.std(axis=1)\n",
    "tst_scr_mean = tst_scr.mean(axis=1)\n",
    "tst_scr_std = tst_scr.std(axis=1)\n",
    "plt.plot(params, tst_scr_mean)\n",
    "plt.fill_between(params, tst_scr_mean + tst_scr_std, tst_scr_mean - tst_scr_std, alpha=0.3)\n",
    "plt.plot(params, scores_mean)\n",
    "plt.fill_between(params, scores_mean + scores_std, scores_mean - scores_std, alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "_cell_guid": "5c0c505e-bf77-267b-37b6-e679d95b40c7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "_cell_guid": "201017a4-a43d-2d31-427a-c510740912b1"
   },
   "outputs": [],
   "source": [
    "params = range(1, 20,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "_cell_guid": "33d6ebbb-3e61-6f12-8cd2-772f851dc97c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Done  15 out of  30 | elapsed:    6.9s remaining:    6.9s\n",
      "[Parallel(n_jobs=-1)]: Done  30 out of  30 | elapsed:   13.0s finished\n"
     ]
    }
   ],
   "source": [
    "scores, tst_scr = validation_curve(RandomForestRegressor(n_estimators=10), X_train[:20000], \\\n",
    "                                   y_train[:20000], 'max_features', params, \\\n",
    "                                   cv=3, scoring='r2',n_jobs=-1, verbose=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "_cell_guid": "eee0f85b-9bec-7b3f-3fd6-377d8e67257f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0xc3fc588>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9CVmArW8t4z8CAABsZYSJAHCdqD5cO2uttLjQCgdnZ2TnYxObLJeTn1wo+qHg+J5YVWFQWVgo9ni1T2Nm484VhMrm/ElLCAkBAAAA9AjCRABYA6oP07FeLQhagyrCuZno5Cbzs8FEMzGOI/UPSrvGm+FgJCwcGJbJph8HbVM5jpTv82dt7mvN3qxsrsfDTgAAAABoR5gIACk0qw9np/0QjOpDSZJdLnee2GRuRlqcT35iNueHgvsOtoLCgWF/FuTBYak4sPWq8Yzxg8LwR74o5QgNAQAAAGwfhIkA0IFdWmx1XV6Yl7Szqg9tve6HgXOt8Qnbqgory8lPLg74oeDeYLzCRlA4EIxbmC9s3YDNGL+ysNDnd7VuBIe5/NY9JwAAAABIiTARAALW80LB2bRUTZgBeBuxtWqz63Fi9+P5WX8m0jjH9cckDMYq1EC8C/KQTGY7/PdipHy+vdowV9h6VZMAAAAAsE62w90eAKzZdq0+tNZK5aVIOGgbYzw2JjtZWkx+cr7gh4I3H0qe2KQ4sP0q8HL59krDPKEhAAAAAMQRJgLYUWwtPCHI1q0+tPV66zzmEyY2mZuVagnnZozUPyAN3xCMV9gIC4eagaHJ5bt/Qt2SzbVXGhb6ZBx3s48MAAAAALYEwkQA295WrD60lUqrgjASFM6uPIN0JuNPZLJnf/sMyINDUv+QjLsDgrNMNrnScFt0vwYAAACAzcNdFYBtZ6tUH9p6Xbr0iZbe+k/VS59GqwqXl5KfVChGxis0oXEKNTQsFYrbrwvySlw3Ghg2Kg0z2c0+MgAAAADYlggTAWwLW6H60ForXZ2SPrwg+9EF6eP3pcqymrGhMX4ouGt3s9uxGRz2Kw2DmZBNNreZp7B5HDcWGPoBoskSGgIAAABANxEmAtiStkz14cKcHx5+eEH66D2/e7LkB4cTN0n7D2rwc1/QfCYn9Q8y4YfjSPmEMQ238ziOAAAAALCFECYC2DLs0qI0O+2HhwsL6snqw8qy9PEHfuXhhxekK5dbG0fHpEO/JbP/oHTTbzQDsuzIiMz09CYd8SYxJhoa9vVJ+aKUy+2sbtoAAAAAsMUQJgLoWX714YzfdXl+pierD63nSZc+DioPL0iXPpHqdX9jcUC65bf98HDfAZmBoc092E1hpEIhmAClLzoZCqEhAAAAAGw5hIkAeopdXGh1Xe7B6kNrrV9t2Oi6/MkHUrXib8zmpJsP+eHh/oPS6NgOCsyMlMu1JkPpC0LDXIGu2wAAAACwjRAmAthUkerDuRmp1oPVh/OzrUlTPnxPWpz3NziONHFTKzwc3yvjupt6rF2Ry4cqDBvVhgUZZwecOwAAAADscISJALqu56sPl8vSx++3ui5fnWptvGG39Nkv+AHi3pu398Qg2WwQFhZblYb5vp0RmAIAAAAAEhEmAthwvV59aD1P+vQjPzz88IJU+kSyQcDZPyj91q2tcQ/7Bzf3YDdCJts2e7LyfTIZ/osAAAAAAERxpwhg3VlrpaXFnq0+tNZKU6VW1+WPP2gFnLm8dPBzMvuCrssjN2yfcQ9dNxQYFpvLJpPd7CMDAAAAAGwRhIkA1kXPVx/OzbQmTfnoPWlpwd/gONKN+6LjHm71CUMct73SsNAnk81t9pEBAAAAALY4wkQAa9Lz1Yflpda4hx9ekGautDaOTUi3/HYw7uH+rRuyOY6UL7RVG27rcRwBAAAAAJuKMBFAarZWa4WHc7M9VX1ovZp08aPWpCmli61xDweHpC980e+6vO+ATLF/cw/2WhkTmjU59JHLb58u2AAAAACALYEwEUBHzerD2Wk/RFzsnepDa600eanVdfniB1Kt5m/MF6SDt7S6Lg+PbpHQzUj5fPu4hrn81u96DQAAAADYFggTAUT0dPXh7LT04buyH77nVx+Wl/wNjut3V25MmrL7xq0RvuUL0sCQsgcOSnMLUr6wNY4bAAAAALBjESYCO5xffbjQmjill6oPlxZb4x5+dEGaudrauPvGVtflPftlsltgRuJCURoYlPr9j8Yxu7vGZWqXNvngAAAAAABYHWEisONXkmcAACAASURBVAPZWtWvOuyx6kNbq0oXP/QrDz+8IF2+2No4OCx94Xf9rsv7Dsj0FTftOFMrFKWBoSBAHJDJbIHAEwAAAACAFRAmAjtAr1Yf2npduvyp9FFj3MMPJc/zN+b7pN/8fLPrshke3dyDXZWR+oLKw4FBqTgok+EtFgAAAACwvXCnC2xTkerD2RnJq232Ifmh5uzVYNKU96SP3pOWg3EP3Yy09+ag8jAY97CnJ00xUrE/2m3ZdTf7oAAAAAAA2FCEicA20V59OL/ZhyRJsksL0kfv+ZWHH17wj61hfI+0L+i6vGd/b1fymSA87A+6LRcHCA8BAAAAADtOD9+5A1hNs/pwdtoP6Xqh+rBalT75QPajIDycDE0sMjwqHf5//K7L+w7IFPo270BXY4xUHAgqD4ek/n4Zh/AQAAAA+L/t3X1w1eWd///ndXJDbkhCSEi4CZiAILX0zvub0oLFaitK61ZqtfP97szXdcZhfrs77h+d7rSd7u5Y2q2ddbfDaG1nZ74z32ptbVXEasVaW5cWtbq1VkWUgIBEQgKEEBKSnFy/Pw6FsnA+HOTk5O75+KdDPu9z8c549dPTl9eNpInNMFEaQ0bj6sPMuYdtR7Yub4W2nTB05NzDsgqYf+7RrcuhesrINpskhKPblY+uPEylRrorSZIkSZJGFcNEaZQbbasPY4ywf++xS1PeeRsO92UeFhdnVhzOzlyaQl3D6D33MJU6svLwyLbl8krDQ0mSJEmSTsEwURplYoyZ25b/fHFKb89It0Q8dBB2bDu2dfnggcyDEKBhJsxuzmxdntFEKBqlr5VUEVT+xbbl8grDQ0mSJEmSTtMo/X/90sQUew7CtjdhcGBk++jvh7btxy5N6Ww/9nBKHXzggszqw1lnESaVjVyjSYqKjt+2XF45eldJSpIkSZI0RhgmSqNE7D0EW9+AdLrwf/fQEOzedWzr8rs7YWgo87CiEhYsOnLuYTOhqqbg/eWkqOjYTcuVVZmVh4aHkiRJkiTllWGiNArEw33QWrggMcYI+zozl6bsPHLuYf/hzMOSEpg99+ilKdRNG52hXFHxseBwcjWUlY/OPiVJkiRJGkcME6URFvsPw5ZNw761OfZ0H7txeec26OnOPAgBGmfB7JZMgNg4i1BUNKy9vCfFJX8RHlYRyipGuiNJkiRJkiYcw0RpBMWBgUyQONCf/7H7D8M7249dmrJ3z7GHtfUwb+Gxcw9LJ+X97z9jJSXHbVsOZeUj3ZEkSZIkSROeYaI0QuLgYGZr85+3F5/peOk07H7nyMrDrZkzEI+eezgZzvnAsXMPJ1fn5e/Mq5LSYzctT64avRe7SJIkSZI0gRkmSiMgptOZILHv0HsfI0bY2wE7WjMB4q7tx1Y4lpTCnHmZ8HB2C9TWj77zBEsnHbtpubKaMGkUro6UJEmSJEnHMUyUCiwOpWHrZujtOf3PHjxw7NKUHdvg0MHMg1QKps8iNB0JDxtmjr5zD0snZS5K+fOZh6Nxa7UkSZIkSUpkmCgVUBwagre3HLv85FT1h/vgnbePbV3e13ns4dRpMP9cwuy5MHP26AvnJpUdv225pHSkO5IkSZIkSWfIMFEqkBgj7GiFA/uz1wwNQduOzMrD7VuhfRfEmHlYWQULP3jk3MMWQuXkAnWeo7Ly47ctl5SMdEeSJEmSJCnPDBOlQtm5Dfbvzfo4DgwQH70/c/YhZLYFtyw4tnV5ytTRde5hWcXRm5aZXEUoNjyUJEmSJGm8yzlMbGtrY82aNXR3d1NRUcGqVatoamo6rqa/v5/vf//7tLa2AtDQ0MBtt91GdXU1r776KqtXr2bGjBlH6++44w5KSzNbH59++mkefvhhYowsWrSIW265haLRduab9B7Fd7bD3j3Zn6fTxMcfzASJCz9IWHRe5tzDVKqAXSYJUF5+dMsylVWEYv9dhCRJkiRJE03OacC9997LsmXLWLJkCRs3buTuu+/mjjvuOK7mqaeeoq+vjzvvvJMQAvfccw9r167li1/8IgBNTU1885vfPGHs9vZ2HnjgAb71rW9RU1PDv/7rv/L0009z5ZVXnuGvJ428+O5O6Hg3+/OhIeKTD8P2LXDuhwlLrxkFKxADlB9ZeTi5CioMDyVJkiRJEuS07Kmrq4utW7eyePFiAC6++GLa29tpb28/oba/v590Ok06naavr4+pU6eecvyNGzdy4YUXMmXKFEIIXHnllWzYsOE0fxVp9IntbbB7V/bnMRJ/9RhseR3Ofh9hyadHKEgMUDEZGmZAywJYdB5hwfsJM+cQqmsNEiVJkiRJEpDjysTOzk5qa2uPbjsOIVBfX09HRwcNDQ1H65YtW8bmzZu55ZZbSKVSzJ8/n6uvvvro8127dvGlL32JVCrFkiVLuOqqqwDo6Ohg2rRpR+saGhro6Og4aS/r1q1j3bp1AJSVlXHXXXcd14OUD6lUisbGxjMaY7C9jcHebpgy5aTPY4wcWr+Ww6+/TMm8hUy+4X8TigoU2oVAqKwiVV1DqqqG1ORqgscKjJh8zDfpdDjnVGjOORWS802F5pxTITnfNBrknFzkslrqlVdeATJbolOpFGvWrOHBBx9k5cqVtLS0cM8991BRUUFnZyerV6+mqqqKyy677ITx459vrz2J5cuXs3z58uN+1t7envgZ6XQ1Njaye/fu9/z5uK8zs205qeb53xCffxZmzmZw2Qq6ug++57/vlMKRlYdHblqmspKQOhIe9vVD38nDexXGmc436XQ551RozjkVkvNNheacUyE53zQcQgjH3XFyKjmFiXV1dXR2dpJOpykqKiLGSEdHB/X19cfVrV+/no997GNHL1VZvHgxjzzyCAAVFRXHjXf55ZezadMmLrvsMurr64/bMr1nz54TxpbGinhgH2xvTa75w3PE538D06YTrvk8oSTPNyGnUpnwsLIKqqqhvHIUXeYiSZIkSZLGqpzShZqaGlpaWnj22WcBeO6552hoaDhhe3FDQwMvv/xy5hy4GHnxxReZPXs2APv27WNoaAiA3t5eXnrpJZqbm4HMGYwvvPAC+/fvJ8bI+vXrj65YlMaS2H0Atr0FZF8pG1/7A/G/1kNtPeG6mwiTys78L06lYHI1TG+Cs98H7z+PMG8hYfosQmWVQaIkSZIkScqLnLc533rrraxZs4aHHnqI8vJyVq1aBcDq1atZuXIl8+bNY+XKlXzve9/j9ttvJ4RAU1MTt956K5AJIJ988kmKiopIp9NccsklLF26FMgs073hhhv46le/SoyRRYsWccUVVwzDrysNn9hzELZthoQt9/Gt1zIXrlTVEFbcRCivyFqbKFUElX+xbbm8wsBQkiRJkiQNuxDHwWGDbW1tnpmovDrdcyhi76HMjczpdPaat7cQH3sAyioIf/W/CDWnvun8qKKizJblydWZ/yyvGKFbnzUcPPdEheacU6E551RIzjcVmnNOheR803AYljMTJWUX+3qh9Y3kIHHXduLjP4GSSZkViacKEouKj4SHRwLEsnLDQ0mSJEmSNOIME6UzEPsPQ+smGBzIXtPeRlz3AIQU4bovEOoastYyqQzOOtvwUJIkSZIkjUqGidJ7FAcGYMsmGEgIEvd2ENfeD+lBwrVfIDTOzD5gSSnMPYdQOmkYupUkSZIkSTpz3tggvQdxcDCzIrH/cPaaA/uJj/wQ+vsIV3+O0NScfcDiEpi30CBRkiRJkiSNaoaJ0mmK6XTmjMS+3uw1Pd2ZILGnm7DsOkLL/OwDFhVlViROKhuGbiVJkiRJkvLHMFE6DXEoDVs3Q29P9pq+XuIj90HXPsKSTxMWLMo+YCoFLQsI5RXD0K0kSZIkSVJ+GSZKOYpDQ7DtLejpzl7Tf5j46P2wdw/hsk8QFp2XfcAQoHk+obJqGLqVJEmSJEnKP8NEKQcxRtjRCt1d2WsGB4mP/Rh274LzLyecd2nCiAHmzCNU1eS/WUmSJEmSpGFimCidQowRdm6D/Xuz16TTxCd+Cu+8DR+4gHDJkuRBm5oJU6bmtU9JkiRJkqThZpgoncquHbB3T9bHMUbiL9fCtjfhnA8QPnYVIYTs482cQ6ibNgyNSpIkSZIkDS/DRClBfHcndLyb/XmMxF8/DptfzdzI/Ilrk4PExpmEadOHoVNJkiRJkqThZ5goZRHb2zLnHybV/O5X8KeXYHYL4arPElIJ/5WqbyRMb8pzl5IkSZIkSYVjmCidxGB7G7TtSKyJv98AL/0WpjcRPnUDoag4e3FtHcyck+cuJUmSJEmSCish/ZAmprivk8EDnck1r/yeuPFXUNdAWP55Qmlp9uLqWpg9N3n7syRJkiRJ0hjgykTpL8SufbC9NbnmjVeIv34CaqYSVtxEKCvPXjy5Gs6aZ5AoSZIkSZLGBcNE6YjYfQDefguI2Wta3yA+tRYmVxM+czOhYnL2AcsroXl+8jmKkiRJkiRJY4gphwTEnoOwbTPEhCBxx1biEz+DsnLCipsJVTXZBywrh7kLCEVFw9CtJEmSJEnSyDBM1IQXew/B1jdgaCh7zbs7iT//MRQXE667iVBbl33A0kkw9xxCcckwdCtJkiRJkjRyDBM1ocW+XtiyCdLp7DUdu4mP/ggihGtvJEybnn3AkhKYu5BQknAhiyRJkiRJ0hhlmKgJK/YfhtZNkB7MXrN/L3HtfTAwQPj0DYQZs7MPWFSUWZE4adIwdCtJkiRJkjTyDBM1IcWB/syKxIGB7DXdXcRH/h/0HiJc9VnCnLnZB0wdCRLLKoahW0mSJEmSpNHBMFETThwcgNY3oP9w1pqhnm7iIz+E7gOEK5YT5i3MPmAImVubk252liRJkiRJGgeKR7oBqZBiOg2tm6GvN3vN4T66f3If7N9LWHwV4X0fShgxwFlnE6qq89+sJEmSJEnSKOPKRE0YcSgNWzdDb0/2moF+4qM/Ir17F+HijxM+dGHyoLNbCDW1ee5UkiRJkiRpdDJM1IQQh4Zg21vQ0529Jj1I/PmD8O5Oyi75OFzw0eRBZ84hTK3Pc6eSJEmSJEmjl2Gixr0YI+xohe6u7DVDQ8RfPJypO/cjlH9iOSGE7IM2ziJMmz4M3UqSJEmSJI1ehoka1zJB4lbYvzexJj69Dlo3wfxzCUs+lRwk1k8nTJ81DN1KkiRJkiSNboaJGt92bYd9HVkfxxiJzz4Jm/6YuUhl2QpCKuG/FlOnEWbNGYZGJUmSJEmSRj/DRI1b8d2d0LE7ueb538AfX8icf/ipvyIUFWUvrqmFpub8NilJkiRJkjSGGCZqXIrtbbB7V3LNf2+EF56FhhmE5Z8nFJdkL55cDXPmJW9/liRJkiRJGucMEzXuxM52aNuRXPPqfxM3PAVT6wnXfoFQOil7ceVkaJmfvP1ZkiRJkiRpAjAd0bgS93XCzm3JNW++SvzVY1A9hXDdzYTyiuzFZRXQvICQStj+LEmSJEmSNEEYJmrciF37YHtrcs22t4jrH4HKKsKKmwmTq7IXl06CuecQiovz3KkkSZIkSdLYZEqicSF2d8HbbwExe807bxMffxBKJxFW3ESoqc0+YEkpzDuLUJJwjqIkSZIkSdIE48pEjXmxpxu2vQkxIUjcvYu47gFIpTJnJE6dln3AomJKF34g+RxFSZIkSZKkCcgwUWNa7D0EWzfD0FD2mr17iI/eD0NDmVubG2dmHzBVBHPPIZV0jqIkSZIkSdIEZZioMSv29cKWTZBOZ685sI/4yH3Qf5jwqc8RZp2VfcAQMrc2V1QOQ7eSJEmSJEljn2GixqR4+DC0boL0YPaag93Eh38IPd2EK1cQms9OGDFA83zC5Oq89ypJkiRJkjReGCZqzIkD/ZkgcWAge03vIeLa++DAfsLSawjz35886Jy5hOopee5UkiRJkiRpfDFM1JgSBweg9Q3oP5y9pv9w5ozEvXsIly8jvP8jyYM2NRNq6/LcqSRJkiRJ0vhjmKgxI6bT0LoZ+nqz1wwOZG5tbm+DCz9K+MglyYPOaCLUNeS5U0mSJEmSpPHJMFFjQhxKZ25t7u3JXpNOEx//KezaDh+8kHDRx5MHbZhBaEi42VmSJEmSJEnHMUzUqBeHhmDbW9DTnVgTn3oE3n4LFn6QsPiThBCyD1o3jTBj9jB0K0mSJEmSNH4ZJmpUizHC9i3Q3ZVYE595HN58DeYuJFyxPDlInFIHs5rz36wkSZIkSdI4Z5ioUSvGCDu2Qte+xJr421/Ca/8Ns1sIV32GkEqY1lU1mbqksFGSJEmSJEknZZio0WvXdtjXkVzz4gb4740wvYnw6RsIRcXZaysnQ/PZyWGjJEmSJEmSsjJV0agU23ZCx+7kmj++QNz4DNQ3Eq69kVBSmr24vAKaFxBSRfltVJIkSZIkaQIxTNSoE9t3Qfuu5JpNfyT+5hcwZSrhupsIk8qyF08qg7nnEIoTVi1KkiRJkiTplAwTNarEznZo25lcs2UT8ZePQlU1YcXNhIrK7MUlpUeCxJI8dypJkiRJkjTx5LxUq62tjTVr1tDd3U1FRQWrVq2iqanpuJr+/n6+//3v09raCkBDQwO33XYb1dXV/OlPf+K+++6jt7eXVCrFBRdcwI033kgIgfb2dv72b/+W2bNnHx3rH/7hH5g+fXqefk2NBXFvB+zcllyzvZX4i4egvIKw4ouEqprsxcUlMG8hoXRSfhuVJEmSJEmaoHIOE++9916WLVvGkiVL2LhxI3fffTd33HHHcTVPPfUUfX193HnnnYQQuOeee1i7di1f/OIXqays5O/+7u9obGykv7+ff/mXf2HDhg189KMfBaCyspJvf/vb+f3tNGbErn2Zm5uTatp2EH/+EygpyWxtnjI1e3FRUWZFYtL2Z0mSJEmSJJ2WnLY5d3V1sXXrVhYvXgzAxRdfTHt7O+3t7SfU9vf3k06nSafT9PX1MXVqJvBpaWmhsbERgNLSUpqbm9m9O/mCDU0MsbsL3n4LiNlrOnYTH/0RBDKXrdQ3Zh8wlYKWBYTyivw3K0mSJEmSNIHltDKxs7OT2tpaiooyN+GGEKivr6ejo4OGhoajdcuWLWPz5s3ccsstpFIp5s+fz9VXX33CePv372fjxo18+ctfPvqzQ4cO8eUvf5mhoSEuvPBCrr/+elKpE7POdevWsW7dOgDKysq46667jutBY8tQdxf9O96CmuzbldOdezjw6P2QHqTq8/+HkrkLsg8YAiUL3k9RTe0Z9ZVKpY6G39Jwc76p0JxzKjTnnArJ+aZCc86pkJxvGg1y3uYcQjhlzSuvvAJktkSnUinWrFnDgw8+yMqVK4/WHDp0iG9961usWLGCuXPnAlBbW8s999xDTU0NBw8e5N/+7d949NFHWbFixQl/x/Lly1m+fPlxP2tvbyfG7KvaNDrFQz3QugnS6ew13V3En/5fONRD+NTn6JnaAPv3Z6kOcNY8Ql8/9J3ZqtfGxkZXzqpgnG8qNOecCs05p0JyvqnQnHMqJOebhkMIgRkzZuRcn9M257q6Ojo7O0kfCX1ijHR0dFBfX39c3fr167nooosoLS2luLiYxYsX8+qrrx593tvbyze+8Q3OP//84wLBkpISao6sTJs8eTJLly7l9ddfz/mX0NgT+3qh9Y3kIPHQQeLDP4SDBwifuJYw95zkQZuak89RlCRJkiRJ0hnJKUysqamhpaWFZ599FoDnnnuOhoaGE7YXNzQ08PLLLxNjJMbIiy++ePSG5r6+Pr7xjW/woQ99iM997nPHfa6rq4vBwUEABgYGeP7552lpaTnjX06jUzx8+MiKxMHsNX29xLX3Q9dewseuJiz8YPKgM+cQ6qbluVNJkiRJkiT9pZy3Od96662sWbOGhx56iPLyclatWgXA6tWrWblyJfPmzWPlypV873vf4/bbbyeEQFNTE7feeisAP//5z3nrrbfo6+vj+eefB+DSSy/l+uuvZ9OmTfz4xz8mlUqRTqdZtGgR119//TD8uhppcaA/EyQODGSv6e8nrnsAOnYTLllC+OAFyYM2ziRMm57nTiVJkiRJkvQ/hTgODhtsa2vzzMQxIA4OwJZN0NebUDNIfOwB2LEVzruUcOkVyed11jcSZp2V9149h0KF5HxToTnnVGjOORWS802F5pxTITnfNByG5cxE6UzFdDpzRmJSkDg0RHzyoUyQ+P7zTh0k1tbBzDnD0K0kSZIkSZJOxjBRwy4OpWHrG9B7KHtNjMRfPpoJHBe8n/Dxq5ODxOpaaGrJ6ZZxSZIkSZIk5YdhooZVHBqCrW9Cz8HsNTESf/MLeOMVaJ5P+MR1hFTC1JxcDWfNS66RJEmSJElS3pnGaNjEGGH7Fjh4ILnuuWfgld/DrLMIV19PKCrKXlxemQkcDRIlSZIkSZIKzkRGwyLGmDn7sGtfct1Lv4Pfb4CGmYRrVhKKS7IXl5XD3AXJYaMkSZIkSZKGjWGihseu7bCvI7Ek/ukl4m9/CVOnEa69kVA6KXtx6SSYe05y2ChJkiRJkqRhZZiovIttO6Ej+ar6uPlV4jM/h+ophBU3EcorsheXlMDchYSS0jx3KkmSJEmSpNNhmKi8iu27oH1Xcs22N4lPPQKVVYTP3EyorMpeXFSUWZE4KWHVoiRJkiRJkgrCMFF5Ezt2Q9vO5Jqd24iP/xRKJxFW3Eyors1enDoSJJYlrFqUJEmSJElSwRgmKi/i3g545+3kmt27iI/9GIqKCNfdRJhan704hMytzRWT89ypJEmSJEmS3ivDRJ2x2LUvc3NzUk1nO3Ht/RCHCMs/T2iYkVAd4KyzCVXV+W1UkiRJkiRJZ8QwUWckdnfB228BMXtN117iI/fBwGHCp24gzJyTPOjsFkJNwvZnSZIkSZIkjQjDRL1nsacbtr0JMSFIPHiA+PAPobeH8MnPEM6alzzozDnJ258lSZIkSZI0YgwT9Z7EQz3QuhmGhrLX9B7KrEjs7iIsvYZw9rnJgzbOIkybnudOJUmSJEmSlC+GiTptsa8XWt+AoXT2msN9mTMS93UQPnol4dwPJw9aP50wfVaeO5UkSZIkSVI+GSbqtMTDh6F1E6QHs9cMDBAfewD2tMGFiwkfvjh50KnTCLNOcY6iJEmSJEmSRpxhonIWB/ozQeLAQPaadJr4xIOwawd86CLCRR9LHrSmFpqa89uoJEmSJEmShoVhonISBwcyW5v7D2evGRoirn8Y3t4C7/tQZntzCNkHnVwNc+Yl10iSJEmSJGnUMEzUKcXBwUyQ2NebvSZG4jM/h7deh3kLMxeuJIWElZOhZT4h5RSUJEmSJEkaK0xylCgOpWHbZug9lL0mRuKGp+C1P8CcuYRPfiY5JCyrgOYFhFTRMHQsSZIkSZKk4WKYqKzi0BBsfRN6DiYX/v6/4A/PwYzZhE/dQCgqzl5bOgnmnkMoTqiRJEmSJEnSqGSYqJOKMcL2LXDwQHLdy88Tn/s1TJtOWP55QklJ9uKSkswW6KQaSZIkSZIkjVqGiTpBjBF2tELXvuS6118mPvsk1NYRrvsCYVJZ9uKiYpi7kFA6Kc/dSpIkSZIkqVAME3WiXdthX2diSXzrdeLT66CqhrDiZkJ5ZfbiVFFma3NZeZ4blSRJkiRJUiEZJuo4sW0ndOxOrnl7C/HJh6C8IhMkTq7OXhxC5tbmioSwUZIkSZIkSWOCYaKOiu27oH1Xck3bDuLjP4GSUsJ1NxOmTE2oDtB8dnLYKEmSJEmSpDHDMFEAxI7d0LYzuWbPu8RHfwQhEK79AqG+IXnQOXMJ1bV57FKSJEmSJEkjyTBRxL0d8M7byTX7OoiP3AfpQcI1KwnTZyUP2tRMqK3LY5eSJEmSJEkaaYaJE1zs2gc7tibXHNhPfOSHcLiXcPVfEZpakged0USoO8WqRUmSJEmSJI05hokTWOzugrffAmL2mp6DmSDxYDdh2QpCy4LkQRtmEBpm5rdRSZIkSZIkjQqGiRNU7OmGbW9CTAgS+3qJa++Drn2EJZ8inLMoedC6aYQZs/PcqSRJkiRJkkYLw8QJKB7qgdbNMDSUvaa/P3PZSmc74dIrCIvOTx50ylSY1ZzfRiVJkiRJkjSqGCZOMLHvELS+AUPp7DWDg8Sf/xh2vwPnXUY4/7LkQatqYPZcQgh57laSJEmSJEmjiWHiBBIPH84EienB7DXpNPEXP4Od22DR+YRLlyYPWjkZms8mpJxKkiRJkiRJ450J0AQRB/qhdRMMDGSviZH49KOwdTMsWET4+NXJqw3LK6B5ASFVNAwdS5IkSZIkabQxTJwA4uAAbNkE/Yez18RI/PUT8MafoGUB4RPXJgeJk8pg7jmE4uJh6FiSJEmSJEmjkWHiOBcHBzNbmw/3Jddt/BX86UVoaiZcdT2hKGG1YUnpkSCxJM/dSpIkSZIkaTQzTBzH4lAatm2G3kPJdS/+Fl78LTTOInz6huTVhsUlMG8hoXRSnruVJEmSJEnSaGeYOE7FoSHY+ib0HEyu+9OLxN89DXUNhGtvTA4Ji4oyKxInleW5W0mSJEmSJI0FhonjUIwR3t4CBw8k173xJ+Izj0NNLeG6mwhl5dmLU6nMWYrlFXnuVpIkSZIkSWOFYeI4E2OEHa1wYF9y3dbNxKcegclVhBU3EyonZy8OAZrnEyqr8tytJEmSJEmSxhLDxPHmnbdhX2diSdy5lfjET6GsPBMkVk9JqA4wZx6hqia/fUqSJEmSJGnMMUwcR2LbTuhsT6559x3iYz+GouLM1uba+uRBm5oJU6bmsUtJkiRJkiSNVYaJ40TcvQvadyXXdLQTH70fYiQs/zxh2vTkQWfOIdRNy2OXkiRJkiRJGssME8eB2LEb3t2ZXLN/L3HtD2Ggn/CpGwgz5yQP2jDz1GGjJEmSJEmSJhTDxDEu7t2TOScxqebgAeIjP4TeQ4RPfpZw1rzkQesbCTOa8tilJEmSJEmSxgPDxDEs7t8LO7Yl1/T2ZILE7i7C0msIZ78vedDaczRdBwAADg9JREFUOjjVqkVJkiRJkiRNSIaJY1Ts7oLtW4CYveZwH3Ht/bCvk7D4k4RzP5w8aHUtNLUQQshvs5IkSZIkSRoXDBPHoNjTDdvehJgQJA4MENc9AHveJVz0McKHLkoedHI1nDWPkHJKSJIkSZIk6eSKcy1sa2tjzZo1dHd3U1FRwapVq2hqOv5cvf7+fr7//e/T2toKQENDA7fddhvV1dUAPP300zz88MPEGFm0aBG33HILRUVFp3ymY+KhHmjdDEND2WvSaeLjP4G2HfDhi+HCxcmDlldC83yDREmSJEmSJCXKOT269957WbZsGf/+7//OihUruPvuu0+oeeqpp+jr6+POO+/kO9/5DjU1NaxduxaA9vZ2HnjgAf75n/+Z//iP/2D//v08/fTTp3ymY2LfIWh9A4bS2WuGhohPPgzbW+HcDxMuX5a8bbmsHOYuIBjcSpIkSZIk6RRyChO7urrYunUrixdnVrhdfPHFtLe3097efkJtf38/6XSadDpNX18fU6dOBWDjxo1ceOGFTJkyhRACV155JRs2bDjlM2XEw4czQWJ6MHtNjMRfPQZbXoez30dY8unkILF0Esw9h1BcMgwdS5IkSZIkabzJaZtzZ2cntbW1R7cdhxCor6+no6ODhoaGo3XLli1j8+bN3HLLLaRSKebPn8/VV18NQEdHB9OmTTta29DQQEdHxymf/U/r1q1j3bp1AJSVlXHXXXcd18N4FPsP0//6H4mVldlrYuTQ+rUcfv1lSuYtZPIN/5tQlPCPt6SU0nM/RGpS2TB0PPalUikaGxtHug1NEM43FZpzToXmnFMhOd9UaM45FZLzTaNBzmcm5nLD7yuvvAJktkSnUinWrFnDgw8+yMqVK08YI/6Py0OSnv2l5cuXs3z58uN+1t7enviZsSwODsBbr8PhvsS6oed+DS88CzNnM7hsBV3dB7MXFxVlVi7u7wK68tvwONHY2Mju3btHug1NEM43FZpzToXmnFMhOd9UaM45FZLzTcMhhMCMGTNyrs9pm3NdXR2dnZ2k05mz+mKMdHR0UF9ff1zd+vXrueiiiygtLaW4uJjFixfz6quvAlBfX3/ctug9e/Yc/XzSs4ksDqUzW5tPESTGPzyXCRKnTSdc83lCScK25VQKWs4hlFXkuVtJkiRJkiSNdzmFiTU1NbS0tPDss88C8Nxzz9HQ0HDC9uKGhgZefvnlzNl9MfLiiy8ye/ZsIHPO4gsvvMD+/fuJMbJ+/Xouu+yyUz6b0NJp6D2UWBJf+wPxv9ZDbT3hupsISduWQ4DmBYTKyXluVJIkSZIkSRNBztucb731VtasWcNDDz1EeXk5q1atAmD16tWsXLmSefPmsXLlSr73ve9x++23E0KgqamJW2+9Fcgsxb3hhhv46le/SoyRRYsWccUVV5zymbKLb72WuXClqoaw4iZCedJqwwBnnU2oqi5Yf5IkSZIkSRpfQhwHhw22tbWNyzMT40A/vPaHkz97ewvxsQegrILwV/+LUDM1ebDZcwlT3TqeK8+hUCE531RozjkVmnNOheR8U6E551RIzjcNh2E5M1GjS9y1nfj4T6BkUmZF4qmCxJlzDBIlSZIkSZJ0xgwTx5jY3kZc9wCEFOG6LxDqGpI/0DiLMG16YZqTJEmSJEnSuGaYOIbEvR3EtfdDepBwzUpC48zkD9RPJ0yfVZjmJEmSJEmSNO4ZJo4R8cB+4iM/hP4+wtWfIzQ1J3+gtp4wa05BepMkSZIkSdLEYJg4BsSe7kyQ2NNNWHYdoWV+8gdqamF2S2GakyRJkiRJ0oRhmDjKxd5DxEfug659hCWfJixYlPyBydUwZx4hhMI0KEmSJEmSpAnDMHEUi329xHU/gr17CJd9grDovOQPVEyGlvmElP9YJUmSJEmSlH+mTqNU7D9MvPubsHsXnH854bxLkz9QVgEtCwiposI0KEmSJEmSpAnHMHG0SqchRvjABYRLliTXlk6CuecQiosL0pokSZIkSZImJtOnUSqUVxD+v6/A5leTzz8sKYF5CwklJYVrTpIkSZIkSROSYeIoFkpKISlILCqGuQsJpZMK15QkSZIkSZImLLc5j1WposzW5rLyke5EkiRJkiRJE4Rh4lgUQubW5orKke5EkiRJkiRJE4hh4pgToPlswuTqkW5EkiRJkiRJE4xh4lgzZy6hunaku5AkSZIkSdIEZJg4ljQ1E2rrRroLSZIkSZIkTVCGiWPFjCZCXcNIdyFJkiRJkqQJzDBxLGiYQWiYOdJdSJIkSZIkaYIzTBzt6qYRZswe6S4kSZIkSZIkw8RRragYZjWPdBeSJEmSJEkSAMUj3YCyCymzXkmSJEmSJI0eplWSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmScmKYKEmSJEmSJCknhomSJEmSJEmSclI80g3kQwhhpFvQOOS8UiE531RozjkVmnNOheR8U6E551RIzjfl2+nOqRBjjMPUiyRJkiRJkqRxxG3O0kn8/d///Ui3oAnE+aZCc86p0JxzKiTnmwrNOadCcr5pNDBMlE6ir69vpFvQBOJ8U6E551RozjkVkvNNheacUyE53zQaGCZKkiRJkiRJyknR17/+9a+PdBPSaLRgwYKRbkETiPNNheacU6E551RIzjcVmnNOheR800jzAhZJkiRJkiRJOXGbsyRJkiRJkqScGCZKkiRJkiRJyknxSDcgjYT+/n7uuusu3nnnHUpLS5kyZQp/8zd/Q0NDw3F1r776KqtXr2bGjBlHf3bHHXdQWlpa6JY1xq1atYqSkhJKSkoA+OxnP8tll112Qt1Pf/pTnnnmGQAuv/xybrzxxkK2qXGip6eHvzwSub+/n927d/ODH/yAyZMnH/257zi9V//5n//Jiy++yJ49e7jzzjuZM2cOAG1tbaxZs4bu7m4qKipYtWoVTU1NJx3D951Ox8nmXK7f58D3nU5ftvdcrt/pwPeccney+Zbr9znwHafCM0zUhLVs2TI+8pGPEELgiSee4N577+UrX/nKCXVNTU1885vfHIEONd7cfvvtR7+Insxrr73Ghg0b+Pa3v01RURFf/epXWbhwIR/+8IcL2KXGg8rKSr797W8f/fPatWt57bXXTvjiCb7j9N5ccsklrFixgq997WvH/fzee+9l2bJlLFmyhI0bN3L33Xdzxx13nPB533c6XdnmXK7f58D3nU5PtjkHp/5OB77ndHpONt9O5/sc+I5TYbnNWRNSaWkp5513HiEEAObPn8/u3btHuCtNdL/97W9ZsmQJZWVllJSUsHTpUjZs2DDSbWkceOaZZ7jiiitGug2NI+eeey51dXXH/ayrq4utW7eyePFiAC6++GLa29tpb28/4fO+73S6Tjbn/D6n4XSyOXc6fM/pdOQy3/w+p9HElYkS8Pjjj3P++eef9NmuXbv40pe+RCqVYsmSJVx11VUF7k7jxXe/+12GhoaYP38+N910E9XV1cc97+jo4Nxzzz3652nTprFx48ZCt6lxZvPmzXR3d/uO07Dr7OyktraWoqIiAEII1NfX09HRccK2U993Gg5J3+fA953y51Tf6cD3nPLrVN/nwHecCsswURPez372M9ra2k66haGlpYV77rmHiooKOjs7Wb16NVVVVVnPRZGy+ad/+ifq6+sZHBzkRz/6EWvWrOHLX/7yCXV/Xl0h5cvTTz/Nxz/+8aMBz1/yHad8O513mO875VPS9znwfaf8yfU7HfieU/4kfZ8D33EqPLc5a0Jbu3Ytzz//PP/4j//IpEmTTnheUVFBRUUFAHV1dVx++eVs2rSp0G1qHKivrweguLiYa665htdff/2kNXv27Dn65z179hz9nPRe9PX18bvf/Y6lS5ee9LnvOOVTXV0dnZ2dpNNpAGKMdHR0nPQ95vtO+XSq73Pg+075k8t3uj/X+Z5TPpzq+xz4jlPhGSZqwlq3bh0bNmzgK1/5CpWVlSet2bdvH0NDQwD09vby0ksv0dzcXMAuNR709fXR09Nz9M8bNmygpaXlhLpLL72UX//61/T19TEwMMCvfvUrLr/88kK2qnFm48aNzJkzh1mzZp30ue845VNNTQ0tLS08++yzADz33HM0NDSc9GZd33fKl1y+z4HvO+VHrt/pwPec8udU3+fAd5wKL8QY40g3IRVaZ2cnt912G42NjZSVlQFQUlLCN77xDe655x4uuOACLrjgAp544gmefPJJioqKSKfTXHLJJdxwww1uWdBp2b17N9/5zncYGhoixkhjYyN//dd/TUNDA6tXr2blypXMmzcPgAcffJBnnnkGgMsuu4ybbrppBDvXWPe1r32NpUuXHvdvsn3HKR9+8IMf8Pvf/579+/dTVVVFWVkZ3/3ud9m1axdr1qzh4MGDlJeXs2rVKmbPng3g+05n5GRz7utf/3rW73Pg+05n5mRz7itf+UrW73Tge07vXbb/XYWTf58D33EaWYaJkiRJkiRJknLiNmdJkiRJkiRJOTFMlCRJkiRJkpQTw0RJkiRJkiRJOTFMlCRJkiRJkpQTw0RJkiRJkiRJOTFMlCRJkiRJkpQTw0RJkiRJkiRJOTFMlCRJkiRJkpQTw0RJkiRJkiRJOfn/AQwpi8fsB3z/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbfa8cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores_mean = scores.mean(axis=1)\n",
    "scores_std = scores.std(axis=1)\n",
    "tst_scr_mean = tst_scr.mean(axis=1)\n",
    "tst_scr_std = tst_scr.std(axis=1)\n",
    "plt.plot(params, tst_scr_mean)\n",
    "plt.fill_between(params, tst_scr_mean + tst_scr_std, tst_scr_mean - tst_scr_std, alpha=0.3)\n",
    "plt.plot(params, scores_mean)\n",
    "plt.fill_between(params, scores_mean + scores_std, scores_mean - scores_std, alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "_cell_guid": "554fc0ba-868c-a7fb-329d-fc024fb73124"
   },
   "outputs": [],
   "source": [
    "params = range(10, 51, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "_cell_guid": "1ae2b8c8-6e5f-002d-e0e4-c63cf037156b"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Done   8 out of  15 | elapsed:  1.4min remaining:  1.2min\n",
      "[Parallel(n_jobs=-1)]: Done  15 out of  15 | elapsed:  2.5min finished\n"
     ]
    }
   ],
   "source": [
    "scores, tst_scr = validation_curve(RandomForestRegressor(n_estimators=100), X_train[:20000], \\\n",
    "                                   y_train[:20000], 'max_depth', params, \\\n",
    "                                   cv=3, scoring='r2',n_jobs=-1, verbose=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "_cell_guid": "6b005bb6-a85f-feaf-2f0d-182b101bf9a9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0xc40a978>"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xca19160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores_mean = scores.mean(axis=1)\n",
    "scores_std = scores.std(axis=1)\n",
    "tst_scr_mean = tst_scr.mean(axis=1)\n",
    "tst_scr_std = tst_scr.std(axis=1)\n",
    "plt.plot(params, tst_scr_mean)\n",
    "plt.fill_between(params, tst_scr_mean + tst_scr_std, tst_scr_mean - tst_scr_std, alpha=0.3)\n",
    "plt.plot(params, scores_mean)\n",
    "plt.fill_between(params, scores_mean + scores_std, scores_mean - scores_std, alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "_cell_guid": "b3e3ba0d-11e8-fcc9-e570-c115bcfd95af"
   },
   "outputs": [],
   "source": [
    "model1 = RandomForestRegressor(n_estimators=80, max_depth=20, n_jobs=-1, verbose=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "_cell_guid": "4ca7054e-92a6-6ab3-c758-8503d9b53c29"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "building tree 1 of 80building tree 2 of 80building tree 3 of 80building tree 4 of 80\n",
      "\n",
      "\n",
      "\n",
      "building tree 5 of 80\n",
      "building tree 6 of 80\n",
      "building tree 7 of 80\n",
      "building tree 8 of 80\n",
      "building tree 9 of 80\n",
      "building tree 10 of 80\n",
      "building tree 11 of 80\n",
      "building tree 12 of 80\n",
      "building tree 13 of 80\n",
      "building tree 14 of 80\n",
      "building tree 15 of 80\n",
      "building tree 16 of 80\n",
      "building tree 17 of 80\n",
      "building tree 18 of 80\n",
      "building tree 19 of 80\n",
      "building tree 20 of 80\n",
      "building tree 21 of 80\n",
      "building tree 22 of 80\n",
      "building tree 23 of 80\n",
      "building tree 24 of 80\n",
      "building tree 25 of 80\n",
      "building tree 26 of 80\n",
      "building tree 27 of 80\n",
      "building tree 28 of 80\n",
      "building tree 29 of 80\n",
      "building tree 30 of 80\n",
      "building tree 31 of 80\n",
      "building tree 32 of 80\n",
      "building tree 33 of 80\n",
      "building tree 34 of 80\n",
      "building tree 35 of 80\n",
      "building tree 36 of 80\n",
      "building tree 37 of 80\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Done  33 tasks      | elapsed:  2.4min\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "building tree 38 of 80\n",
      "building tree 39 of 80\n",
      "building tree 40 of 80\n",
      "building tree 41 of 80\n",
      "building tree 42 of 80\n",
      "building tree 43 of 80\n",
      "building tree 44 of 80\n",
      "building tree 45 of 80\n",
      "building tree 46 of 80\n",
      "building tree 47 of 80\n",
      "building tree 48 of 80\n",
      "building tree 49 of 80\n",
      "building tree 50 of 80\n",
      "building tree 51 of 80\n",
      "building tree 52 of 80\n",
      "building tree 53 of 80\n",
      "building tree 54 of 80\n",
      "building tree 55 of 80\n",
      "building tree 56 of 80\n",
      "building tree 57 of 80\n",
      "building tree 58 of 80\n",
      "building tree 59 of 80\n",
      "building tree 60 of 80\n",
      "building tree 61 of 80\n",
      "building tree 62 of 80\n",
      "building tree 63 of 80\n",
      "building tree 64 of 80\n",
      "building tree 65 of 80\n",
      "building tree 66 of 80\n",
      "building tree 67 of 80\n",
      "building tree 68 of 80\n",
      "building tree 69 of 80\n",
      "building tree 70 of 80\n",
      "building tree 71 of 80\n",
      "building tree 72 of 80\n",
      "building tree 73 of 80\n",
      "building tree 74 of 80\n",
      "building tree 75 of 80\n",
      "building tree 76 of 80\n",
      "building tree 77 of 80\n",
      "building tree 78 of 80\n",
      "building tree 79 of 80\n",
      "building tree 80 of 80\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Done  80 out of  80 | elapsed:  5.6min finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=20,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=80, n_jobs=-1,\n",
       "           oob_score=False, random_state=None, verbose=2, warm_start=False)"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model1.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "_cell_guid": "b237139b-3eaa-a348-2717-1f2536b84ede"
   },
   "outputs": [],
   "source": [
    "idx = model1.feature_importances_.argsort()[::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "_cell_guid": "0b7a9919-c9d3-adb9-4fb4-e4cd94b72c99"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbfe2208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(x=df.drop('NumberOfSales', axis=1).columns[idx], y=model1.feature_importances_[idx])\n",
    "_ = plt.setp(ax.get_xticklabels(), rotation=-90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "_cell_guid": "51526a84-98a0-ceeb-b957-c65e98052ad0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done  33 tasks      | elapsed:    0.8s\n",
      "[Parallel(n_jobs=4)]: Done  80 out of  80 | elapsed:    2.0s finished\n"
     ]
    }
   ],
   "source": [
    "y_pred = model1.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "estim = model1.estimators_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "_cell_guid": "d57a9738-6c92-94bc-ee7f-8c61c8621a5e"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "_cell_guid": "ce96d86c-504a-6f79-daa9-6c41619afc65"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "363.0952106021715"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "_cell_guid": "e14263ca-4a3b-562a-0a1e-59eafafccb84"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.939235646453016"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "#defining mape\n",
    "from sklearn.utils import check_array\n",
    "def mean_absolute_percentage_error(y_true, y_pred): \n",
    "    y_true = y_true.reshape(1, -1)\n",
    "    y_pred = y_pred.reshape(1, -1)\n",
    "    #y_true, y_pred = check_array(y_true, y_pred)\n",
    "\n",
    "    ## Note: does not handle mix 1d representation\n",
    "    #if _is_1d(y_true): \n",
    "    #    y_true, y_pred = _check_1d_array(y_true, y_pred)\n",
    "\n",
    "    return np.mean(np.abs((y_true - y_pred) / y_true)) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.83654286105369"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_percentage_error(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.0000e+00, 1.0000e+00, 2.5618e+04, ..., 1.0000e+00, 1.8000e+01,\n",
       "        3.0000e+00],\n",
       "       [0.0000e+00, 1.0000e+00, 1.8799e+04, ..., 1.1000e+01, 2.1000e+01,\n",
       "        0.0000e+00],\n",
       "       [0.0000e+00, 0.0000e+00, 2.4740e+03, ..., 1.2000e+01, 2.4000e+01,\n",
       "        5.0000e+00],\n",
       "       ...,\n",
       "       [0.0000e+00, 0.0000e+00, 2.8200e+02, ..., 1.0000e+00, 2.2000e+01,\n",
       "        0.0000e+00],\n",
       "       [0.0000e+00, 0.0000e+00, 3.0730e+03, ..., 4.0000e+00, 8.0000e+00,\n",
       "        5.0000e+00],\n",
       "       [0.0000e+00, 0.0000e+00, 1.3790e+03, ..., 4.0000e+00, 2.8000e+01,\n",
       "        4.0000e+00]])"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(81848, 1)"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test[:, [3]].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residual sum of squares: 24508622341.69\n"
     ]
    }
   ],
   "source": [
    "print(\"Residual sum of squares: %.2f\"\n",
    "  % ((y_pred - y_test) ** 2).sum())\n",
    "\n",
    "#why memory error??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ToWeight(y):\n",
    "    w = np.zeros(y.shape, dtype=float)\n",
    "    ind = y != 0\n",
    "    w[ind] = 1./(y[ind]**2)\n",
    "    return w\n",
    "\n",
    "\n",
    "def rmspe(yhat, y):\n",
    "    w = ToWeight(y)\n",
    "    rmspe = np.sqrt(np.mean( w * (y - yhat)**2 ))\n",
    "    return rmspe\n",
    "\n",
    "\n",
    "def rmspe_xg(yhat, y):\n",
    "   # y = y.values\n",
    "   # y = y.get_label()\n",
    "    y = np.exp(y) - 1\n",
    "    yhat = np.exp(yhat) - 1\n",
    "    w = ToWeight(y)\n",
    "    rmspe = np.sqrt(np.mean(w * (y - yhat)**2))\n",
    "    return \"rmspe\", rmspe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Mirko\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:17: RuntimeWarning: overflow encountered in exp\n",
      "C:\\Users\\Mirko\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:18: RuntimeWarning: overflow encountered in exp\n",
      "C:\\Users\\Mirko\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: RuntimeWarning: overflow encountered in square\n",
      "  after removing the cwd from sys.path.\n",
      "C:\\Users\\Mirko\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:20: RuntimeWarning: invalid value encountered in subtract\n",
      "C:\\Users\\Mirko\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:20: RuntimeWarning: overflow encountered in square\n",
      "C:\\Users\\Mirko\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:20: RuntimeWarning: invalid value encountered in multiply\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('rmspe', nan)"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmspe_xg(y_pred,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sample of predicted results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xc7b4e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "y_pred_subset = y_pred[500:600]\n",
    "x_coordinate = [ 1 * i for i in range(len(y_pred_subset)) ]\n",
    "plt.plot(x_coordinate,y_pred_subset)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sample of real results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xc1030f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "y_train_subset = y_train[500:600]\n",
    "x_coordinate = [ 1 * i for i in range(len(y_train_subset)) ]\n",
    "plt.plot(x_coordinate,y_train_subset)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Real-Predicted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc125320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x_coordinate,y_pred_subset)\n",
    "plt.plot(x_coordinate,y_train_subset)\n",
    "plt.legend(['Predicted', 'Real'], loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import pickle\n",
    "#RFR_1 = pickle.dumps(model1)\n",
    "#clf2 = pickle.loads(s)\n",
    "#clf2.predict(X[0:1])\n",
    "#pickle.dump(model1, open(\"models\\RFR_1\",\"wb\"))\n",
    "#model1 = pickle.load(file=open(\"models\\RFR_1\",\"rb\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For the submission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "8acd1d98-90e0-0777-6c35-a98e4beecd59"
   },
   "outputs": [],
   "source": [
    "df_test = pd.read_csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "fc3dcee5-8c3c-33a7-1f13-3ec403f10f4e"
   },
   "outputs": [],
   "source": [
    "df_test.IsOpen.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "7d7f563e-ec23-5219-6aa6-aef74c3c1a3d"
   },
   "outputs": [],
   "source": [
    "ind_open = df_test.IsOpen == 1\n",
    "ind_closed = df_test.IsOpen == 0\n",
    "df_test2 = df_test[ind_open]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "9dc254e8-751a-edbe-c9eb-04e2cc3b7628"
   },
   "outputs": [],
   "source": [
    "df_test2.drop('IsOpen', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "ad5d9746-cf85-5965-f532-084d8be0d43c"
   },
   "outputs": [],
   "source": [
    "df_test2.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "30bea4a1-1d25-9028-ca83-b7495b0f57e1"
   },
   "outputs": [],
   "source": [
    "X_out = df_test2.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "2cb69607-840e-a809-d2e5-254f2a562ea3"
   },
   "outputs": [],
   "source": [
    "y_out = model1.predict(X_out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "30af42f2-36f7-310c-249a-d80c13d8b551"
   },
   "outputs": [],
   "source": [
    "df_out = pd.DataFrame(np.zeros(len(df_test)), columns=['NumberOfSales'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "5dd715ff-9be3-8e99-7c1a-a5e876263691"
   },
   "outputs": [],
   "source": [
    "df_out[ind_open] = y_out.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "5a3a7e94-d39a-1f4f-a19c-3e674bb37044"
   },
   "outputs": [],
   "source": [
    "df_out.set_index(np.arange(len(df_out))+1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "execution_count": null,
   "metadata": {
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   "source": [
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