LSTM_V4.0.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pandas import Series,DataFrame\n",
    "import numpy as np\n",
    "import os\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import datetime\n",
    "import tensorflow as tf\n",
    "from tensorflow.contrib import learn\n",
    "from tensorflow.python.ops import rnn, rnn_cell\n",
    "import matplotlib.pyplot as plt\n",
    "import cPickle\n",
    "import gzip\n",
    "import math\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 提取主力合约数据，已经加入了MA、EMA、MACD、布林线等指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Latestprice</th>\n",
       "      <th>MaxPrice</th>\n",
       "      <th>MinPrice</th>\n",
       "      <th>Stockup</th>\n",
       "      <th>Turnover</th>\n",
       "      <th>Position</th>\n",
       "      <th>Volume</th>\n",
       "      <th>First.Latestprice</th>\n",
       "      <th>Last.Buy1price</th>\n",
       "      <th>Last.Buy1quantity</th>\n",
       "      <th>...</th>\n",
       "      <th>Vol_EMA_12</th>\n",
       "      <th>Vol_EMA_26</th>\n",
       "      <th>Dis_Vol_EMA5_26</th>\n",
       "      <th>DIFF_12_26</th>\n",
       "      <th>DEA_12_26</th>\n",
       "      <th>MACD</th>\n",
       "      <th>boll_up</th>\n",
       "      <th>boll_down</th>\n",
       "      <th>b_index</th>\n",
       "      <th>channel_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3640.4</td>\n",
       "      <td>3646.0</td>\n",
       "      <td>3640.2</td>\n",
       "      <td>-63</td>\n",
       "      <td>115844340</td>\n",
       "      <td>28315</td>\n",
       "      <td>106</td>\n",
       "      <td>3644.8</td>\n",
       "      <td>3640.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>106.000000</td>\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",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3625.8</td>\n",
       "      <td>3641.4</td>\n",
       "      <td>3624.4</td>\n",
       "      <td>-79</td>\n",
       "      <td>228902820</td>\n",
       "      <td>28236</td>\n",
       "      <td>210</td>\n",
       "      <td>3640.4</td>\n",
       "      <td>3625.0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>162.333333</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>-0.327564</td>\n",
       "      <td>-0.181980</td>\n",
       "      <td>-0.291168</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>2</th>\n",
       "      <td>3618.8</td>\n",
       "      <td>3626.8</td>\n",
       "      <td>3612.6</td>\n",
       "      <td>-110</td>\n",
       "      <td>301745580</td>\n",
       "      <td>28126</td>\n",
       "      <td>278</td>\n",
       "      <td>3625.4</td>\n",
       "      <td>3619.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>207.478060</td>\n",
       "      <td>202.396254</td>\n",
       "      <td>17.919535</td>\n",
       "      <td>-0.634451</td>\n",
       "      <td>-0.367419</td>\n",
       "      <td>-0.534064</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>3</th>\n",
       "      <td>3617.0</td>\n",
       "      <td>3620.2</td>\n",
       "      <td>3616.0</td>\n",
       "      <td>-81</td>\n",
       "      <td>162817740</td>\n",
       "      <td>28045</td>\n",
       "      <td>150</td>\n",
       "      <td>3618.8</td>\n",
       "      <td>3616.8</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>189.334483</td>\n",
       "      <td>187.748551</td>\n",
       "      <td>3.359141</td>\n",
       "      <td>-0.823469</td>\n",
       "      <td>-0.521908</td>\n",
       "      <td>-0.603123</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>4</th>\n",
       "      <td>3618.0</td>\n",
       "      <td>3618.8</td>\n",
       "      <td>3613.0</td>\n",
       "      <td>-66</td>\n",
       "      <td>143205060</td>\n",
       "      <td>27979</td>\n",
       "      <td>132</td>\n",
       "      <td>3616.8</td>\n",
       "      <td>3618.0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>173.756909</td>\n",
       "      <td>174.820232</td>\n",
       "      <td>-6.403171</td>\n",
       "      <td>-0.869050</td>\n",
       "      <td>-0.625175</td>\n",
       "      <td>-0.487751</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>5</th>\n",
       "      <td>3621.0</td>\n",
       "      <td>3621.6</td>\n",
       "      <td>3618.0</td>\n",
       "      <td>-47</td>\n",
       "      <td>111857580</td>\n",
       "      <td>27931</td>\n",
       "      <td>103</td>\n",
       "      <td>3618.2</td>\n",
       "      <td>3621.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>156.559257</td>\n",
       "      <td>160.435213</td>\n",
       "      <td>-15.922431</td>\n",
       "      <td>-0.751834</td>\n",
       "      <td>-0.659506</td>\n",
       "      <td>-0.184655</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>6</th>\n",
       "      <td>3614.2</td>\n",
       "      <td>3621.4</td>\n",
       "      <td>3614.2</td>\n",
       "      <td>-46</td>\n",
       "      <td>120504420</td>\n",
       "      <td>27885</td>\n",
       "      <td>111</td>\n",
       "      <td>3621.0</td>\n",
       "      <td>3612.8</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>146.392868</td>\n",
       "      <td>151.643416</td>\n",
       "      <td>-18.996015</td>\n",
       "      <td>-0.971763</td>\n",
       "      <td>-0.738530</td>\n",
       "      <td>-0.466465</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>7</th>\n",
       "      <td>3601.2</td>\n",
       "      <td>3615.6</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>-98</td>\n",
       "      <td>372121500</td>\n",
       "      <td>27787</td>\n",
       "      <td>344</td>\n",
       "      <td>3614.2</td>\n",
       "      <td>3601.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>187.630431</td>\n",
       "      <td>182.636828</td>\n",
       "      <td>23.321935</td>\n",
       "      <td>-1.721885</td>\n",
       "      <td>-0.974849</td>\n",
       "      <td>-1.494072</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>8</th>\n",
       "      <td>3602.2</td>\n",
       "      <td>3608.6</td>\n",
       "      <td>3600.4</td>\n",
       "      <td>-68</td>\n",
       "      <td>195712320</td>\n",
       "      <td>27719</td>\n",
       "      <td>181</td>\n",
       "      <td>3601.2</td>\n",
       "      <td>3602.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>186.318696</td>\n",
       "      <td>182.394214</td>\n",
       "      <td>15.022770</td>\n",
       "      <td>-2.165518</td>\n",
       "      <td>-1.249899</td>\n",
       "      <td>-1.831237</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>9</th>\n",
       "      <td>3604.6</td>\n",
       "      <td>3608.4</td>\n",
       "      <td>3599.0</td>\n",
       "      <td>-70</td>\n",
       "      <td>198897300</td>\n",
       "      <td>27649</td>\n",
       "      <td>184</td>\n",
       "      <td>3602.0</td>\n",
       "      <td>3603.4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>185.879304</td>\n",
       "      <td>182.615797</td>\n",
       "      <td>10.249933</td>\n",
       "      <td>-2.325090</td>\n",
       "      <td>-1.490804</td>\n",
       "      <td>-1.668572</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>10</th>\n",
       "      <td>3602.4</td>\n",
       "      <td>3606.0</td>\n",
       "      <td>3599.0</td>\n",
       "      <td>-39</td>\n",
       "      <td>127536900</td>\n",
       "      <td>27610</td>\n",
       "      <td>118</td>\n",
       "      <td>3604.6</td>\n",
       "      <td>3602.8</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>173.459028</td>\n",
       "      <td>174.235108</td>\n",
       "      <td>-6.616503</td>\n",
       "      <td>-2.524999</td>\n",
       "      <td>-1.717080</td>\n",
       "      <td>-1.615838</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>11</th>\n",
       "      <td>3605.2</td>\n",
       "      <td>3607.6</td>\n",
       "      <td>3602.2</td>\n",
       "      <td>-28</td>\n",
       "      <td>83269080</td>\n",
       "      <td>27582</td>\n",
       "      <td>77</td>\n",
       "      <td>3602.4</td>\n",
       "      <td>3603.4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>156.308929</td>\n",
       "      <td>162.288243</td>\n",
       "      <td>-25.110458</td>\n",
       "      <td>-2.483403</td>\n",
       "      <td>-1.881654</td>\n",
       "      <td>-1.203498</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>12</th>\n",
       "      <td>3605.8</td>\n",
       "      <td>3605.8</td>\n",
       "      <td>3602.2</td>\n",
       "      <td>-9</td>\n",
       "      <td>65952540</td>\n",
       "      <td>27573</td>\n",
       "      <td>61</td>\n",
       "      <td>3603.4</td>\n",
       "      <td>3604.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>139.759679</td>\n",
       "      <td>150.422343</td>\n",
       "      <td>-38.768300</td>\n",
       "      <td>-2.385718</td>\n",
       "      <td>-1.988332</td>\n",
       "      <td>-0.794773</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>13</th>\n",
       "      <td>3605.0</td>\n",
       "      <td>3606.0</td>\n",
       "      <td>3602.8</td>\n",
       "      <td>-13</td>\n",
       "      <td>50825100</td>\n",
       "      <td>27560</td>\n",
       "      <td>47</td>\n",
       "      <td>3605.8</td>\n",
       "      <td>3604.2</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>123.965667</td>\n",
       "      <td>138.806783</td>\n",
       "      <td>-48.778166</td>\n",
       "      <td>-2.327979</td>\n",
       "      <td>-2.059386</td>\n",
       "      <td>-0.537186</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>14</th>\n",
       "      <td>3606.0</td>\n",
       "      <td>3606.0</td>\n",
       "      <td>3604.2</td>\n",
       "      <td>-27</td>\n",
       "      <td>78953280</td>\n",
       "      <td>27533</td>\n",
       "      <td>73</td>\n",
       "      <td>3604.2</td>\n",
       "      <td>3605.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>115.428045</td>\n",
       "      <td>131.688101</td>\n",
       "      <td>-47.348682</td>\n",
       "      <td>-2.195391</td>\n",
       "      <td>-2.087579</td>\n",
       "      <td>-0.215624</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>15</th>\n",
       "      <td>3608.8</td>\n",
       "      <td>3609.0</td>\n",
       "      <td>3605.4</td>\n",
       "      <td>-23</td>\n",
       "      <td>102802020</td>\n",
       "      <td>27510</td>\n",
       "      <td>95</td>\n",
       "      <td>3606.0</td>\n",
       "      <td>3608.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>112.052150</td>\n",
       "      <td>127.850225</td>\n",
       "      <td>-39.951860</td>\n",
       "      <td>-1.897371</td>\n",
       "      <td>-2.048436</td>\n",
       "      <td>0.302129</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>16</th>\n",
       "      <td>3607.0</td>\n",
       "      <td>3609.2</td>\n",
       "      <td>3605.4</td>\n",
       "      <td>-19</td>\n",
       "      <td>60597360</td>\n",
       "      <td>27491</td>\n",
       "      <td>56</td>\n",
       "      <td>3609.0</td>\n",
       "      <td>3607.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>102.893605</td>\n",
       "      <td>120.556799</td>\n",
       "      <td>-43.302026</td>\n",
       "      <td>-1.757935</td>\n",
       "      <td>-1.988997</td>\n",
       "      <td>0.462124</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>17</th>\n",
       "      <td>3601.4</td>\n",
       "      <td>3607.0</td>\n",
       "      <td>3601.4</td>\n",
       "      <td>-44</td>\n",
       "      <td>128675580</td>\n",
       "      <td>27447</td>\n",
       "      <td>119</td>\n",
       "      <td>3606.4</td>\n",
       "      <td>3601.4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>105.500394</td>\n",
       "      <td>120.402990</td>\n",
       "      <td>-29.223719</td>\n",
       "      <td>-1.982649</td>\n",
       "      <td>-1.987704</td>\n",
       "      <td>0.010111</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>18</th>\n",
       "      <td>3606.8</td>\n",
       "      <td>3606.8</td>\n",
       "      <td>3594.0</td>\n",
       "      <td>-16</td>\n",
       "      <td>176006520</td>\n",
       "      <td>27431</td>\n",
       "      <td>163</td>\n",
       "      <td>3601.4</td>\n",
       "      <td>3604.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>114.732720</td>\n",
       "      <td>124.509958</td>\n",
       "      <td>-9.379640</td>\n",
       "      <td>-1.784824</td>\n",
       "      <td>-1.946535</td>\n",
       "      <td>0.323422</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>19</th>\n",
       "      <td>3607.0</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>3603.4</td>\n",
       "      <td>-4</td>\n",
       "      <td>97367760</td>\n",
       "      <td>27428</td>\n",
       "      <td>90</td>\n",
       "      <td>3604.4</td>\n",
       "      <td>3606.6</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>110.788050</td>\n",
       "      <td>121.255407</td>\n",
       "      <td>-14.504382</td>\n",
       "      <td>-1.597776</td>\n",
       "      <td>-1.875970</td>\n",
       "      <td>0.556387</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>20</th>\n",
       "      <td>3613.0</td>\n",
       "      <td>3613.6</td>\n",
       "      <td>3605.4</td>\n",
       "      <td>-35</td>\n",
       "      <td>123478800</td>\n",
       "      <td>27391</td>\n",
       "      <td>114</td>\n",
       "      <td>3607.0</td>\n",
       "      <td>3612.4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>111.297454</td>\n",
       "      <td>120.584737</td>\n",
       "      <td>-11.416902</td>\n",
       "      <td>-1.037152</td>\n",
       "      <td>-1.706644</td>\n",
       "      <td>1.338984</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>21</th>\n",
       "      <td>3607.8</td>\n",
       "      <td>3613.6</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>-30</td>\n",
       "      <td>72574440</td>\n",
       "      <td>27361</td>\n",
       "      <td>67</td>\n",
       "      <td>3612.4</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>104.305246</td>\n",
       "      <td>115.720827</td>\n",
       "      <td>-20.610816</td>\n",
       "      <td>-0.939550</td>\n",
       "      <td>-1.552085</td>\n",
       "      <td>1.225070</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>22</th>\n",
       "      <td>3593.8</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>3591.2</td>\n",
       "      <td>-58</td>\n",
       "      <td>201761820</td>\n",
       "      <td>27303</td>\n",
       "      <td>187</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>3592.2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>117.306330</td>\n",
       "      <td>122.084617</td>\n",
       "      <td>3.658120</td>\n",
       "      <td>-1.803848</td>\n",
       "      <td>-1.602737</td>\n",
       "      <td>-0.402222</td>\n",
       "      <td>3616.497870</td>\n",
       "      <td>3594.768797</td>\n",
       "      <td>-0.044585</td>\n",
       "      <td>0.006046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3589.8</td>\n",
       "      <td>3594.4</td>\n",
       "      <td>3588.4</td>\n",
       "      <td>-39</td>\n",
       "      <td>170214000</td>\n",
       "      <td>27264</td>\n",
       "      <td>158</td>\n",
       "      <td>3592.2</td>\n",
       "      <td>3589.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>123.682599</td>\n",
       "      <td>125.243107</td>\n",
       "      <td>11.252689</td>\n",
       "      <td>-2.728825</td>\n",
       "      <td>-1.829023</td>\n",
       "      <td>-1.799605</td>\n",
       "      <td>3617.054538</td>\n",
       "      <td>3591.645462</td>\n",
       "      <td>-0.072630</td>\n",
       "      <td>0.007078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3597.4</td>\n",
       "      <td>3597.8</td>\n",
       "      <td>3589.0</td>\n",
       "      <td>-37</td>\n",
       "      <td>95919060</td>\n",
       "      <td>27227</td>\n",
       "      <td>89</td>\n",
       "      <td>3589.0</td>\n",
       "      <td>3594.8</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>118.263609</td>\n",
       "      <td>122.099394</td>\n",
       "      <td>-1.436157</td>\n",
       "      <td>-2.887792</td>\n",
       "      <td>-2.041580</td>\n",
       "      <td>-1.692425</td>\n",
       "      <td>3616.462440</td>\n",
       "      <td>3590.837560</td>\n",
       "      <td>0.256096</td>\n",
       "      <td>0.007123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3591.4</td>\n",
       "      <td>3597.4</td>\n",
       "      <td>3589.2</td>\n",
       "      <td>-7</td>\n",
       "      <td>89435100</td>\n",
       "      <td>27220</td>\n",
       "      <td>83</td>\n",
       "      <td>3597.4</td>\n",
       "      <td>3589.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>112.767026</td>\n",
       "      <td>118.750345</td>\n",
       "      <td>-10.641852</td>\n",
       "      <td>-3.398996</td>\n",
       "      <td>-2.313886</td>\n",
       "      <td>-2.170221</td>\n",
       "      <td>3616.596706</td>\n",
       "      <td>3588.436628</td>\n",
       "      <td>0.105233</td>\n",
       "      <td>0.007841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3588.0</td>\n",
       "      <td>3592.8</td>\n",
       "      <td>3588.0</td>\n",
       "      <td>-13</td>\n",
       "      <td>91545060</td>\n",
       "      <td>27207</td>\n",
       "      <td>85</td>\n",
       "      <td>3591.4</td>\n",
       "      <td>3588.0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>108.447692</td>\n",
       "      <td>115.892563</td>\n",
       "      <td>-15.487036</td>\n",
       "      <td>-3.998578</td>\n",
       "      <td>-2.651641</td>\n",
       "      <td>-2.693873</td>\n",
       "      <td>3616.908736</td>\n",
       "      <td>3585.124597</td>\n",
       "      <td>0.090467</td>\n",
       "      <td>0.008858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3580.0</td>\n",
       "      <td>3588.6</td>\n",
       "      <td>3580.0</td>\n",
       "      <td>-4</td>\n",
       "      <td>167710680</td>\n",
       "      <td>27203</td>\n",
       "      <td>156</td>\n",
       "      <td>3586.8</td>\n",
       "      <td>3580.0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>115.832122</td>\n",
       "      <td>119.253006</td>\n",
       "      <td>-0.315771</td>\n",
       "      <td>-4.991522</td>\n",
       "      <td>-3.120524</td>\n",
       "      <td>-3.741995</td>\n",
       "      <td>3617.794630</td>\n",
       "      <td>3579.438704</td>\n",
       "      <td>0.014634</td>\n",
       "      <td>0.010714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3568.0</td>\n",
       "      <td>3580.2</td>\n",
       "      <td>3567.2</td>\n",
       "      <td>-1</td>\n",
       "      <td>190875540</td>\n",
       "      <td>27202</td>\n",
       "      <td>178</td>\n",
       "      <td>3580.2</td>\n",
       "      <td>3567.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>125.472289</td>\n",
       "      <td>124.127839</td>\n",
       "      <td>14.497139</td>\n",
       "      <td>-6.573239</td>\n",
       "      <td>-3.812137</td>\n",
       "      <td>-5.522204</td>\n",
       "      <td>3620.214971</td>\n",
       "      <td>3570.518362</td>\n",
       "      <td>-0.050675</td>\n",
       "      <td>0.013928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3568.0</td>\n",
       "      <td>3571.4</td>\n",
       "      <td>3565.0</td>\n",
       "      <td>-17</td>\n",
       "      <td>135944700</td>\n",
       "      <td>27185</td>\n",
       "      <td>127</td>\n",
       "      <td>3567.2</td>\n",
       "      <td>3566.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>125.708897</td>\n",
       "      <td>124.364067</td>\n",
       "      <td>10.385898</td>\n",
       "      <td>-7.731735</td>\n",
       "      <td>-4.597029</td>\n",
       "      <td>-6.269413</td>\n",
       "      <td>3621.110015</td>\n",
       "      <td>3564.056652</td>\n",
       "      <td>0.069117</td>\n",
       "      <td>0.015990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35728</th>\n",
       "      <td>3301.6</td>\n",
       "      <td>3301.6</td>\n",
       "      <td>3299.2</td>\n",
       "      <td>14</td>\n",
       "      <td>30692160</td>\n",
       "      <td>37376</td>\n",
       "      <td>31</td>\n",
       "      <td>3300.8</td>\n",
       "      <td>3300.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>30.047989</td>\n",
       "      <td>33.567610</td>\n",
       "      <td>-6.678075</td>\n",
       "      <td>-0.404311</td>\n",
       "      <td>-0.697110</td>\n",
       "      <td>0.585599</td>\n",
       "      <td>3304.325891</td>\n",
       "      <td>3296.607443</td>\n",
       "      <td>0.646834</td>\n",
       "      <td>0.002338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35729</th>\n",
       "      <td>3302.4</td>\n",
       "      <td>3304.4</td>\n",
       "      <td>3300.2</td>\n",
       "      <td>29</td>\n",
       "      <td>61434300</td>\n",
       "      <td>37405</td>\n",
       "      <td>62</td>\n",
       "      <td>3301.6</td>\n",
       "      <td>3302.4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>34.963683</td>\n",
       "      <td>35.673713</td>\n",
       "      <td>2.919311</td>\n",
       "      <td>-0.271863</td>\n",
       "      <td>-0.612061</td>\n",
       "      <td>0.680396</td>\n",
       "      <td>3304.388704</td>\n",
       "      <td>3297.211296</td>\n",
       "      <td>0.722922</td>\n",
       "      <td>0.002173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35730</th>\n",
       "      <td>3304.4</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>3302.4</td>\n",
       "      <td>22</td>\n",
       "      <td>42620280</td>\n",
       "      <td>37427</td>\n",
       "      <td>43</td>\n",
       "      <td>3302.4</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>36.200039</td>\n",
       "      <td>36.216401</td>\n",
       "      <td>3.845615</td>\n",
       "      <td>-0.005450</td>\n",
       "      <td>-0.490739</td>\n",
       "      <td>0.970576</td>\n",
       "      <td>3304.770277</td>\n",
       "      <td>3297.996389</td>\n",
       "      <td>0.945338</td>\n",
       "      <td>0.002050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35731</th>\n",
       "      <td>3304.6</td>\n",
       "      <td>3305.6</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>22</td>\n",
       "      <td>75345540</td>\n",
       "      <td>37449</td>\n",
       "      <td>76</td>\n",
       "      <td>3304.6</td>\n",
       "      <td>3304.6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>42.323110</td>\n",
       "      <td>39.163334</td>\n",
       "      <td>12.878010</td>\n",
       "      <td>0.219294</td>\n",
       "      <td>-0.348732</td>\n",
       "      <td>1.136052</td>\n",
       "      <td>3305.341764</td>\n",
       "      <td>3298.458236</td>\n",
       "      <td>0.892241</td>\n",
       "      <td>0.002083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35732</th>\n",
       "      <td>3304.6</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>3301.4</td>\n",
       "      <td>40</td>\n",
       "      <td>85243080</td>\n",
       "      <td>37489</td>\n",
       "      <td>86</td>\n",
       "      <td>3304.6</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>49.042632</td>\n",
       "      <td>42.632717</td>\n",
       "      <td>20.728179</td>\n",
       "      <td>0.392876</td>\n",
       "      <td>-0.200410</td>\n",
       "      <td>1.186573</td>\n",
       "      <td>3305.947874</td>\n",
       "      <td>3298.718792</td>\n",
       "      <td>0.813548</td>\n",
       "      <td>0.002188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35733</th>\n",
       "      <td>3303.6</td>\n",
       "      <td>3304.6</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>7</td>\n",
       "      <td>30726180</td>\n",
       "      <td>37496</td>\n",
       "      <td>31</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3303.6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>46.266842</td>\n",
       "      <td>41.771034</td>\n",
       "      <td>10.802896</td>\n",
       "      <td>0.444624</td>\n",
       "      <td>-0.071403</td>\n",
       "      <td>1.032056</td>\n",
       "      <td>3306.284006</td>\n",
       "      <td>3298.982661</td>\n",
       "      <td>0.632396</td>\n",
       "      <td>0.002210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35734</th>\n",
       "      <td>3304.2</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>8</td>\n",
       "      <td>21803700</td>\n",
       "      <td>37504</td>\n",
       "      <td>22</td>\n",
       "      <td>3303.6</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>42.533482</td>\n",
       "      <td>40.306513</td>\n",
       "      <td>2.076107</td>\n",
       "      <td>0.527964</td>\n",
       "      <td>0.048470</td>\n",
       "      <td>0.958988</td>\n",
       "      <td>3306.332355</td>\n",
       "      <td>3299.234312</td>\n",
       "      <td>0.699586</td>\n",
       "      <td>0.002148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35735</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3309.0</td>\n",
       "      <td>3303.4</td>\n",
       "      <td>9</td>\n",
       "      <td>61494420</td>\n",
       "      <td>37513</td>\n",
       "      <td>62</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>45.528331</td>\n",
       "      <td>41.913438</td>\n",
       "      <td>7.008309</td>\n",
       "      <td>0.810604</td>\n",
       "      <td>0.200897</td>\n",
       "      <td>1.219415</td>\n",
       "      <td>3307.143421</td>\n",
       "      <td>3299.156579</td>\n",
       "      <td>0.982043</td>\n",
       "      <td>0.002415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35736</th>\n",
       "      <td>3308.8</td>\n",
       "      <td>3309.0</td>\n",
       "      <td>3305.6</td>\n",
       "      <td>12</td>\n",
       "      <td>47622960</td>\n",
       "      <td>37525</td>\n",
       "      <td>48</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3307.6</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>45.908588</td>\n",
       "      <td>42.364294</td>\n",
       "      <td>6.250203</td>\n",
       "      <td>1.166398</td>\n",
       "      <td>0.393997</td>\n",
       "      <td>1.544801</td>\n",
       "      <td>3308.645737</td>\n",
       "      <td>3298.854263</td>\n",
       "      <td>1.015755</td>\n",
       "      <td>0.002959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35737</th>\n",
       "      <td>3309.8</td>\n",
       "      <td>3309.8</td>\n",
       "      <td>3306.8</td>\n",
       "      <td>26</td>\n",
       "      <td>70471860</td>\n",
       "      <td>37551</td>\n",
       "      <td>71</td>\n",
       "      <td>3308.8</td>\n",
       "      <td>3308.6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>49.768805</td>\n",
       "      <td>44.485458</td>\n",
       "      <td>11.590874</td>\n",
       "      <td>1.511633</td>\n",
       "      <td>0.617524</td>\n",
       "      <td>1.788218</td>\n",
       "      <td>3310.156311</td>\n",
       "      <td>3298.677022</td>\n",
       "      <td>0.968961</td>\n",
       "      <td>0.003468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35738</th>\n",
       "      <td>3308.0</td>\n",
       "      <td>3309.8</td>\n",
       "      <td>3307.8</td>\n",
       "      <td>8</td>\n",
       "      <td>37720740</td>\n",
       "      <td>37559</td>\n",
       "      <td>38</td>\n",
       "      <td>3309.8</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>47.958220</td>\n",
       "      <td>44.005054</td>\n",
       "      <td>6.045834</td>\n",
       "      <td>1.621301</td>\n",
       "      <td>0.818280</td>\n",
       "      <td>1.606042</td>\n",
       "      <td>3310.957157</td>\n",
       "      <td>3299.009509</td>\n",
       "      <td>0.752490</td>\n",
       "      <td>0.003612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35739</th>\n",
       "      <td>3307.2</td>\n",
       "      <td>3308.6</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>-3</td>\n",
       "      <td>19846320</td>\n",
       "      <td>37556</td>\n",
       "      <td>20</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>43.656955</td>\n",
       "      <td>42.226901</td>\n",
       "      <td>-2.192976</td>\n",
       "      <td>1.624928</td>\n",
       "      <td>0.979609</td>\n",
       "      <td>1.290638</td>\n",
       "      <td>3311.559653</td>\n",
       "      <td>3299.473680</td>\n",
       "      <td>0.639280</td>\n",
       "      <td>0.003654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35740</th>\n",
       "      <td>3306.8</td>\n",
       "      <td>3308.2</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>5</td>\n",
       "      <td>33737580</td>\n",
       "      <td>37561</td>\n",
       "      <td>34</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>42.171270</td>\n",
       "      <td>41.617501</td>\n",
       "      <td>-3.594884</td>\n",
       "      <td>1.577344</td>\n",
       "      <td>1.099156</td>\n",
       "      <td>0.956375</td>\n",
       "      <td>3311.977468</td>\n",
       "      <td>3299.922532</td>\n",
       "      <td>0.570511</td>\n",
       "      <td>0.003645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35741</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>1</td>\n",
       "      <td>38690940</td>\n",
       "      <td>37562</td>\n",
       "      <td>39</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>41.683382</td>\n",
       "      <td>41.423612</td>\n",
       "      <td>-3.075201</td>\n",
       "      <td>1.538042</td>\n",
       "      <td>1.186933</td>\n",
       "      <td>0.702217</td>\n",
       "      <td>3312.302017</td>\n",
       "      <td>3300.364650</td>\n",
       "      <td>0.555847</td>\n",
       "      <td>0.003610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35742</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>6</td>\n",
       "      <td>31743660</td>\n",
       "      <td>37568</td>\n",
       "      <td>32</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>40.193631</td>\n",
       "      <td>40.725567</td>\n",
       "      <td>-4.493293</td>\n",
       "      <td>1.489722</td>\n",
       "      <td>1.247491</td>\n",
       "      <td>0.484462</td>\n",
       "      <td>3312.264828</td>\n",
       "      <td>3300.835172</td>\n",
       "      <td>0.539371</td>\n",
       "      <td>0.003456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35743</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>4</td>\n",
       "      <td>30758820</td>\n",
       "      <td>37572</td>\n",
       "      <td>31</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>38.779226</td>\n",
       "      <td>40.005155</td>\n",
       "      <td>-5.516972</td>\n",
       "      <td>1.434888</td>\n",
       "      <td>1.284970</td>\n",
       "      <td>0.299834</td>\n",
       "      <td>3312.250008</td>\n",
       "      <td>3301.249992</td>\n",
       "      <td>0.522727</td>\n",
       "      <td>0.003326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35744</th>\n",
       "      <td>3305.2</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>10</td>\n",
       "      <td>32726820</td>\n",
       "      <td>37582</td>\n",
       "      <td>33</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>37.890114</td>\n",
       "      <td>39.486254</td>\n",
       "      <td>-5.494132</td>\n",
       "      <td>1.231984</td>\n",
       "      <td>1.274373</td>\n",
       "      <td>-0.084778</td>\n",
       "      <td>3312.221331</td>\n",
       "      <td>3301.378669</td>\n",
       "      <td>0.352435</td>\n",
       "      <td>0.003280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35745</th>\n",
       "      <td>3306.6</td>\n",
       "      <td>3307.6</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>9</td>\n",
       "      <td>32736780</td>\n",
       "      <td>37593</td>\n",
       "      <td>33</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.137789</td>\n",
       "      <td>39.005791</td>\n",
       "      <td>-5.344376</td>\n",
       "      <td>1.170656</td>\n",
       "      <td>1.253630</td>\n",
       "      <td>-0.165948</td>\n",
       "      <td>3312.448782</td>\n",
       "      <td>3301.651218</td>\n",
       "      <td>0.458324</td>\n",
       "      <td>0.003265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35746</th>\n",
       "      <td>3306.0</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>3305.2</td>\n",
       "      <td>2</td>\n",
       "      <td>27770820</td>\n",
       "      <td>37584</td>\n",
       "      <td>28</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>35.731975</td>\n",
       "      <td>38.190547</td>\n",
       "      <td>-6.416271</td>\n",
       "      <td>1.061403</td>\n",
       "      <td>1.215184</td>\n",
       "      <td>-0.307564</td>\n",
       "      <td>3312.581252</td>\n",
       "      <td>3301.818748</td>\n",
       "      <td>0.388502</td>\n",
       "      <td>0.003255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35747</th>\n",
       "      <td>3305.8</td>\n",
       "      <td>3307.4</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>13</td>\n",
       "      <td>38687640</td>\n",
       "      <td>37606</td>\n",
       "      <td>39</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>3306.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>36.234748</td>\n",
       "      <td>38.250507</td>\n",
       "      <td>-4.067656</td>\n",
       "      <td>0.947755</td>\n",
       "      <td>1.161698</td>\n",
       "      <td>-0.427887</td>\n",
       "      <td>3312.057859</td>\n",
       "      <td>3302.142141</td>\n",
       "      <td>0.368895</td>\n",
       "      <td>0.002999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35748</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>17</td>\n",
       "      <td>47606100</td>\n",
       "      <td>37623</td>\n",
       "      <td>48</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>38.044787</td>\n",
       "      <td>38.972691</td>\n",
       "      <td>-0.184124</td>\n",
       "      <td>0.943641</td>\n",
       "      <td>1.118087</td>\n",
       "      <td>-0.348892</td>\n",
       "      <td>3310.960034</td>\n",
       "      <td>3302.939966</td>\n",
       "      <td>0.506234</td>\n",
       "      <td>0.002425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35749</th>\n",
       "      <td>3307.2</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>16</td>\n",
       "      <td>47622480</td>\n",
       "      <td>37639</td>\n",
       "      <td>48</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>39.576358</td>\n",
       "      <td>39.641381</td>\n",
       "      <td>2.217664</td>\n",
       "      <td>0.945618</td>\n",
       "      <td>1.083593</td>\n",
       "      <td>-0.275950</td>\n",
       "      <td>3309.281444</td>\n",
       "      <td>3304.185222</td>\n",
       "      <td>0.591571</td>\n",
       "      <td>0.001541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35750</th>\n",
       "      <td>3306.2</td>\n",
       "      <td>3307.4</td>\n",
       "      <td>3305.6</td>\n",
       "      <td>27</td>\n",
       "      <td>60509280</td>\n",
       "      <td>37666</td>\n",
       "      <td>61</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>42.872303</td>\n",
       "      <td>41.223501</td>\n",
       "      <td>7.015862</td>\n",
       "      <td>0.856619</td>\n",
       "      <td>1.038198</td>\n",
       "      <td>-0.363159</td>\n",
       "      <td>3308.456413</td>\n",
       "      <td>3304.710254</td>\n",
       "      <td>0.397673</td>\n",
       "      <td>0.001133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35751</th>\n",
       "      <td>3306.2</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3306.0</td>\n",
       "      <td>13</td>\n",
       "      <td>39678300</td>\n",
       "      <td>37679</td>\n",
       "      <td>40</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>3306.0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>42.430410</td>\n",
       "      <td>41.132871</td>\n",
       "      <td>4.360038</td>\n",
       "      <td>0.777128</td>\n",
       "      <td>0.985984</td>\n",
       "      <td>-0.417712</td>\n",
       "      <td>3308.110555</td>\n",
       "      <td>3304.889445</td>\n",
       "      <td>0.406864</td>\n",
       "      <td>0.000974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35752</th>\n",
       "      <td>3306.6</td>\n",
       "      <td>3307.4</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>6</td>\n",
       "      <td>46622640</td>\n",
       "      <td>37685</td>\n",
       "      <td>47</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>43.133424</td>\n",
       "      <td>41.567473</td>\n",
       "      <td>4.427799</td>\n",
       "      <td>0.737902</td>\n",
       "      <td>0.936368</td>\n",
       "      <td>-0.396932</td>\n",
       "      <td>3308.018779</td>\n",
       "      <td>3304.947888</td>\n",
       "      <td>0.537991</td>\n",
       "      <td>0.000929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35753</th>\n",
       "      <td>3306.6</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>4</td>\n",
       "      <td>38684280</td>\n",
       "      <td>37689</td>\n",
       "      <td>39</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>42.497513</td>\n",
       "      <td>41.377290</td>\n",
       "      <td>2.286225</td>\n",
       "      <td>0.698759</td>\n",
       "      <td>0.888846</td>\n",
       "      <td>-0.380173</td>\n",
       "      <td>3307.938941</td>\n",
       "      <td>3304.961059</td>\n",
       "      <td>0.550371</td>\n",
       "      <td>0.000901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35754</th>\n",
       "      <td>3306.2</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3305.6</td>\n",
       "      <td>7</td>\n",
       "      <td>51579780</td>\n",
       "      <td>37696</td>\n",
       "      <td>52</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>43.959434</td>\n",
       "      <td>42.164157</td>\n",
       "      <td>4.278186</td>\n",
       "      <td>0.628221</td>\n",
       "      <td>0.836721</td>\n",
       "      <td>-0.417001</td>\n",
       "      <td>3307.853248</td>\n",
       "      <td>3304.913419</td>\n",
       "      <td>0.437638</td>\n",
       "      <td>0.000889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35755</th>\n",
       "      <td>3304.2</td>\n",
       "      <td>3306.8</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>29</td>\n",
       "      <td>80316660</td>\n",
       "      <td>37725</td>\n",
       "      <td>81</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>49.657983</td>\n",
       "      <td>45.040887</td>\n",
       "      <td>12.920676</td>\n",
       "      <td>0.406252</td>\n",
       "      <td>0.750627</td>\n",
       "      <td>-0.688751</td>\n",
       "      <td>3307.995891</td>\n",
       "      <td>3304.304109</td>\n",
       "      <td>-0.028200</td>\n",
       "      <td>0.001117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35756</th>\n",
       "      <td>3304.8</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>3303.8</td>\n",
       "      <td>11</td>\n",
       "      <td>60475860</td>\n",
       "      <td>37736</td>\n",
       "      <td>61</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3304.8</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>51.402908</td>\n",
       "      <td>46.223043</td>\n",
       "      <td>12.751332</td>\n",
       "      <td>0.275578</td>\n",
       "      <td>0.655617</td>\n",
       "      <td>-0.760078</td>\n",
       "      <td>3307.886371</td>\n",
       "      <td>3304.346963</td>\n",
       "      <td>0.127998</td>\n",
       "      <td>0.001071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35757</th>\n",
       "      <td>3305.0</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>3304.0</td>\n",
       "      <td>12</td>\n",
       "      <td>74366280</td>\n",
       "      <td>37748</td>\n",
       "      <td>75</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>55.033230</td>\n",
       "      <td>48.354670</td>\n",
       "      <td>15.961580</td>\n",
       "      <td>0.186013</td>\n",
       "      <td>0.561696</td>\n",
       "      <td>-0.751368</td>\n",
       "      <td>3307.823623</td>\n",
       "      <td>3304.143043</td>\n",
       "      <td>0.232832</td>\n",
       "      <td>0.001114</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35758 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Latestprice  MaxPrice  MinPrice  Stockup   Turnover  Position  Volume  \\\n",
       "0           3640.4    3646.0    3640.2      -63  115844340     28315     106   \n",
       "1           3625.8    3641.4    3624.4      -79  228902820     28236     210   \n",
       "2           3618.8    3626.8    3612.6     -110  301745580     28126     278   \n",
       "3           3617.0    3620.2    3616.0      -81  162817740     28045     150   \n",
       "4           3618.0    3618.8    3613.0      -66  143205060     27979     132   \n",
       "5           3621.0    3621.6    3618.0      -47  111857580     27931     103   \n",
       "6           3614.2    3621.4    3614.2      -46  120504420     27885     111   \n",
       "7           3601.2    3615.6    3600.0      -98  372121500     27787     344   \n",
       "8           3602.2    3608.6    3600.4      -68  195712320     27719     181   \n",
       "9           3604.6    3608.4    3599.0      -70  198897300     27649     184   \n",
       "10          3602.4    3606.0    3599.0      -39  127536900     27610     118   \n",
       "11          3605.2    3607.6    3602.2      -28   83269080     27582      77   \n",
       "12          3605.8    3605.8    3602.2       -9   65952540     27573      61   \n",
       "13          3605.0    3606.0    3602.8      -13   50825100     27560      47   \n",
       "14          3606.0    3606.0    3604.2      -27   78953280     27533      73   \n",
       "15          3608.8    3609.0    3605.4      -23  102802020     27510      95   \n",
       "16          3607.0    3609.2    3605.4      -19   60597360     27491      56   \n",
       "17          3601.4    3607.0    3601.4      -44  128675580     27447     119   \n",
       "18          3606.8    3606.8    3594.0      -16  176006520     27431     163   \n",
       "19          3607.0    3607.8    3603.4       -4   97367760     27428      90   \n",
       "20          3613.0    3613.6    3605.4      -35  123478800     27391     114   \n",
       "21          3607.8    3613.6    3607.8      -30   72574440     27361      67   \n",
       "22          3593.8    3607.8    3591.2      -58  201761820     27303     187   \n",
       "23          3589.8    3594.4    3588.4      -39  170214000     27264     158   \n",
       "24          3597.4    3597.8    3589.0      -37   95919060     27227      89   \n",
       "25          3591.4    3597.4    3589.2       -7   89435100     27220      83   \n",
       "26          3588.0    3592.8    3588.0      -13   91545060     27207      85   \n",
       "27          3580.0    3588.6    3580.0       -4  167710680     27203     156   \n",
       "28          3568.0    3580.2    3567.2       -1  190875540     27202     178   \n",
       "29          3568.0    3571.4    3565.0      -17  135944700     27185     127   \n",
       "...            ...       ...       ...      ...        ...       ...     ...   \n",
       "35728       3301.6    3301.6    3299.2       14   30692160     37376      31   \n",
       "35729       3302.4    3304.4    3300.2       29   61434300     37405      62   \n",
       "35730       3304.4    3305.0    3302.4       22   42620280     37427      43   \n",
       "35731       3304.6    3305.6    3303.2       22   75345540     37449      76   \n",
       "35732       3304.6    3305.4    3301.4       40   85243080     37489      86   \n",
       "35733       3303.6    3304.6    3303.2        7   30726180     37496      31   \n",
       "35734       3304.2    3304.2    3303.2        8   21803700     37504      22   \n",
       "35735       3307.0    3309.0    3303.4        9   61494420     37513      62   \n",
       "35736       3308.8    3309.0    3305.6       12   47622960     37525      48   \n",
       "35737       3309.8    3309.8    3306.8       26   70471860     37551      71   \n",
       "35738       3308.0    3309.8    3307.8        8   37720740     37559      38   \n",
       "35739       3307.2    3308.6    3307.0       -3   19846320     37556      20   \n",
       "35740       3306.8    3308.2    3306.6        5   33737580     37561      34   \n",
       "35741       3307.0    3308.0    3306.4        1   38690940     37562      39   \n",
       "35742       3307.0    3307.2    3306.2        6   31743660     37568      32   \n",
       "35743       3307.0    3308.0    3306.6        4   30758820     37572      31   \n",
       "35744       3305.2    3307.0    3305.0       10   32726820     37582      33   \n",
       "35745       3306.6    3307.6    3305.4        9   32736780     37593      33   \n",
       "35746       3306.0    3306.6    3305.2        2   27770820     37584      28   \n",
       "35747       3305.8    3307.4    3305.8       13   38687640     37606      39   \n",
       "35748       3307.0    3307.0    3305.4       17   47606100     37623      48   \n",
       "35749       3307.2    3308.0    3306.4       16   47622480     37639      48   \n",
       "35750       3306.2    3307.4    3305.6       27   60509280     37666      61   \n",
       "35751       3306.2    3307.0    3306.0       13   39678300     37679      40   \n",
       "35752       3306.6    3307.4    3305.8        6   46622640     37685      47   \n",
       "35753       3306.6    3307.2    3305.8        4   38684280     37689      39   \n",
       "35754       3306.2    3307.2    3305.6        7   51579780     37696      52   \n",
       "35755       3304.2    3306.8    3304.2       29   80316660     37725      81   \n",
       "35756       3304.8    3305.4    3303.8       11   60475860     37736      61   \n",
       "35757       3305.0    3306.2    3304.0       12   74366280     37748      75   \n",
       "\n",
       "       First.Latestprice  Last.Buy1price  Last.Buy1quantity      ...        \\\n",
       "0                 3644.8          3640.2                  2      ...         \n",
       "1                 3640.4          3625.0                  4      ...         \n",
       "2                 3625.4          3619.2                  1      ...         \n",
       "3                 3618.8          3616.8                  5      ...         \n",
       "4                 3616.8          3618.0                  2      ...         \n",
       "5                 3618.2          3621.0                  1      ...         \n",
       "6                 3621.0          3612.8                  2      ...         \n",
       "7                 3614.2          3601.0                  1      ...         \n",
       "8                 3601.2          3602.2                  2      ...         \n",
       "9                 3602.0          3603.4                  1      ...         \n",
       "10                3604.6          3602.8                  1      ...         \n",
       "11                3602.4          3603.4                  2      ...         \n",
       "12                3603.4          3604.6                  1      ...         \n",
       "13                3605.8          3604.2                  5      ...         \n",
       "14                3604.2          3605.2                  1      ...         \n",
       "15                3606.0          3608.6                  1      ...         \n",
       "16                3609.0          3607.0                  1      ...         \n",
       "17                3606.4          3601.4                  3      ...         \n",
       "18                3601.4          3604.2                  1      ...         \n",
       "19                3604.4          3606.6                  3      ...         \n",
       "20                3607.0          3612.4                  1      ...         \n",
       "21                3612.4          3607.8                  3      ...         \n",
       "22                3607.8          3592.2                  3      ...         \n",
       "23                3592.2          3589.2                  1      ...         \n",
       "24                3589.0          3594.8                  1      ...         \n",
       "25                3597.4          3589.2                  1      ...         \n",
       "26                3591.4          3588.0                  5      ...         \n",
       "27                3586.8          3580.0                  2      ...         \n",
       "28                3580.2          3567.2                  1      ...         \n",
       "29                3567.2          3566.6                  1      ...         \n",
       "...                  ...             ...                ...      ...         \n",
       "35728             3300.8          3300.2                  2      ...         \n",
       "35729             3301.6          3302.4                  1      ...         \n",
       "35730             3302.4          3303.2                  2      ...         \n",
       "35731             3304.6          3304.6                  2      ...         \n",
       "35732             3304.6          3304.2                  1      ...         \n",
       "35733             3304.2          3303.6                  2      ...         \n",
       "35734             3303.6          3303.2                  2      ...         \n",
       "35735             3304.2          3307.2                  1      ...         \n",
       "35736             3307.0          3307.6                  3      ...         \n",
       "35737             3308.8          3308.6                  2      ...         \n",
       "35738             3309.8          3308.0                  1      ...         \n",
       "35739             3308.0          3307.0                  1      ...         \n",
       "35740             3307.2          3306.6                  1      ...         \n",
       "35741             3307.0          3306.4                  3      ...         \n",
       "35742             3306.4          3306.4                  2      ...         \n",
       "35743             3307.2          3306.2                  2      ...         \n",
       "35744             3307.0          3305.0                  6      ...         \n",
       "35745             3305.4          3306.6                  1      ...         \n",
       "35746             3305.8          3305.4                  2      ...         \n",
       "35747             3306.6          3306.0                  1      ...         \n",
       "35748             3305.8          3306.4                  2      ...         \n",
       "35749             3307.0          3307.2                  1      ...         \n",
       "35750             3307.2          3305.8                  1      ...         \n",
       "35751             3306.2          3306.0                  4      ...         \n",
       "35752             3307.2          3306.2                  3      ...         \n",
       "35753             3306.2          3306.6                  1      ...         \n",
       "35754             3306.6          3305.8                  2      ...         \n",
       "35755             3305.8          3304.2                  3      ...         \n",
       "35756             3304.2          3304.8                  1      ...         \n",
       "35757             3305.0          3305.0                  1      ...         \n",
       "\n",
       "       Vol_EMA_12  Vol_EMA_26  Dis_Vol_EMA5_26  DIFF_12_26  DEA_12_26  \\\n",
       "0      106.000000  106.000000         0.000000    0.000000   0.000000   \n",
       "1      162.333333  160.000000         8.400000   -0.327564  -0.181980   \n",
       "2      207.478060  202.396254        17.919535   -0.634451  -0.367419   \n",
       "3      189.334483  187.748551         3.359141   -0.823469  -0.521908   \n",
       "4      173.756909  174.820232        -6.403171   -0.869050  -0.625175   \n",
       "5      156.559257  160.435213       -15.922431   -0.751834  -0.659506   \n",
       "6      146.392868  151.643416       -18.996015   -0.971763  -0.738530   \n",
       "7      187.630431  182.636828        23.321935   -1.721885  -0.974849   \n",
       "8      186.318696  182.394214        15.022770   -2.165518  -1.249899   \n",
       "9      185.879304  182.615797        10.249933   -2.325090  -1.490804   \n",
       "10     173.459028  174.235108        -6.616503   -2.524999  -1.717080   \n",
       "11     156.308929  162.288243       -25.110458   -2.483403  -1.881654   \n",
       "12     139.759679  150.422343       -38.768300   -2.385718  -1.988332   \n",
       "13     123.965667  138.806783       -48.778166   -2.327979  -2.059386   \n",
       "14     115.428045  131.688101       -47.348682   -2.195391  -2.087579   \n",
       "15     112.052150  127.850225       -39.951860   -1.897371  -2.048436   \n",
       "16     102.893605  120.556799       -43.302026   -1.757935  -1.988997   \n",
       "17     105.500394  120.402990       -29.223719   -1.982649  -1.987704   \n",
       "18     114.732720  124.509958        -9.379640   -1.784824  -1.946535   \n",
       "19     110.788050  121.255407       -14.504382   -1.597776  -1.875970   \n",
       "20     111.297454  120.584737       -11.416902   -1.037152  -1.706644   \n",
       "21     104.305246  115.720827       -20.610816   -0.939550  -1.552085   \n",
       "22     117.306330  122.084617         3.658120   -1.803848  -1.602737   \n",
       "23     123.682599  125.243107        11.252689   -2.728825  -1.829023   \n",
       "24     118.263609  122.099394        -1.436157   -2.887792  -2.041580   \n",
       "25     112.767026  118.750345       -10.641852   -3.398996  -2.313886   \n",
       "26     108.447692  115.892563       -15.487036   -3.998578  -2.651641   \n",
       "27     115.832122  119.253006        -0.315771   -4.991522  -3.120524   \n",
       "28     125.472289  124.127839        14.497139   -6.573239  -3.812137   \n",
       "29     125.708897  124.364067        10.385898   -7.731735  -4.597029   \n",
       "...           ...         ...              ...         ...        ...   \n",
       "35728   30.047989   33.567610        -6.678075   -0.404311  -0.697110   \n",
       "35729   34.963683   35.673713         2.919311   -0.271863  -0.612061   \n",
       "35730   36.200039   36.216401         3.845615   -0.005450  -0.490739   \n",
       "35731   42.323110   39.163334        12.878010    0.219294  -0.348732   \n",
       "35732   49.042632   42.632717        20.728179    0.392876  -0.200410   \n",
       "35733   46.266842   41.771034        10.802896    0.444624  -0.071403   \n",
       "35734   42.533482   40.306513         2.076107    0.527964   0.048470   \n",
       "35735   45.528331   41.913438         7.008309    0.810604   0.200897   \n",
       "35736   45.908588   42.364294         6.250203    1.166398   0.393997   \n",
       "35737   49.768805   44.485458        11.590874    1.511633   0.617524   \n",
       "35738   47.958220   44.005054         6.045834    1.621301   0.818280   \n",
       "35739   43.656955   42.226901        -2.192976    1.624928   0.979609   \n",
       "35740   42.171270   41.617501        -3.594884    1.577344   1.099156   \n",
       "35741   41.683382   41.423612        -3.075201    1.538042   1.186933   \n",
       "35742   40.193631   40.725567        -4.493293    1.489722   1.247491   \n",
       "35743   38.779226   40.005155        -5.516972    1.434888   1.284970   \n",
       "35744   37.890114   39.486254        -5.494132    1.231984   1.274373   \n",
       "35745   37.137789   39.005791        -5.344376    1.170656   1.253630   \n",
       "35746   35.731975   38.190547        -6.416271    1.061403   1.215184   \n",
       "35747   36.234748   38.250507        -4.067656    0.947755   1.161698   \n",
       "35748   38.044787   38.972691        -0.184124    0.943641   1.118087   \n",
       "35749   39.576358   39.641381         2.217664    0.945618   1.083593   \n",
       "35750   42.872303   41.223501         7.015862    0.856619   1.038198   \n",
       "35751   42.430410   41.132871         4.360038    0.777128   0.985984   \n",
       "35752   43.133424   41.567473         4.427799    0.737902   0.936368   \n",
       "35753   42.497513   41.377290         2.286225    0.698759   0.888846   \n",
       "35754   43.959434   42.164157         4.278186    0.628221   0.836721   \n",
       "35755   49.657983   45.040887        12.920676    0.406252   0.750627   \n",
       "35756   51.402908   46.223043        12.751332    0.275578   0.655617   \n",
       "35757   55.033230   48.354670        15.961580    0.186013   0.561696   \n",
       "\n",
       "           MACD      boll_up    boll_down   b_index  channel_width  \n",
       "0      0.000000     0.000000     0.000000  0.000000       0.000000  \n",
       "1     -0.291168     0.000000     0.000000  0.000000       0.000000  \n",
       "2     -0.534064     0.000000     0.000000  0.000000       0.000000  \n",
       "3     -0.603123     0.000000     0.000000  0.000000       0.000000  \n",
       "4     -0.487751     0.000000     0.000000  0.000000       0.000000  \n",
       "5     -0.184655     0.000000     0.000000  0.000000       0.000000  \n",
       "6     -0.466465     0.000000     0.000000  0.000000       0.000000  \n",
       "7     -1.494072     0.000000     0.000000  0.000000       0.000000  \n",
       "8     -1.831237     0.000000     0.000000  0.000000       0.000000  \n",
       "9     -1.668572     0.000000     0.000000  0.000000       0.000000  \n",
       "10    -1.615838     0.000000     0.000000  0.000000       0.000000  \n",
       "11    -1.203498     0.000000     0.000000  0.000000       0.000000  \n",
       "12    -0.794773     0.000000     0.000000  0.000000       0.000000  \n",
       "13    -0.537186     0.000000     0.000000  0.000000       0.000000  \n",
       "14    -0.215624     0.000000     0.000000  0.000000       0.000000  \n",
       "15     0.302129     0.000000     0.000000  0.000000       0.000000  \n",
       "16     0.462124     0.000000     0.000000  0.000000       0.000000  \n",
       "17     0.010111     0.000000     0.000000  0.000000       0.000000  \n",
       "18     0.323422     0.000000     0.000000  0.000000       0.000000  \n",
       "19     0.556387     0.000000     0.000000  0.000000       0.000000  \n",
       "20     1.338984     0.000000     0.000000  0.000000       0.000000  \n",
       "21     1.225070     0.000000     0.000000  0.000000       0.000000  \n",
       "22    -0.402222  3616.497870  3594.768797 -0.044585       0.006046  \n",
       "23    -1.799605  3617.054538  3591.645462 -0.072630       0.007078  \n",
       "24    -1.692425  3616.462440  3590.837560  0.256096       0.007123  \n",
       "25    -2.170221  3616.596706  3588.436628  0.105233       0.007841  \n",
       "26    -2.693873  3616.908736  3585.124597  0.090467       0.008858  \n",
       "27    -3.741995  3617.794630  3579.438704  0.014634       0.010714  \n",
       "28    -5.522204  3620.214971  3570.518362 -0.050675       0.013928  \n",
       "29    -6.269413  3621.110015  3564.056652  0.069117       0.015990  \n",
       "...         ...          ...          ...       ...            ...  \n",
       "35728  0.585599  3304.325891  3296.607443  0.646834       0.002338  \n",
       "35729  0.680396  3304.388704  3297.211296  0.722922       0.002173  \n",
       "35730  0.970576  3304.770277  3297.996389  0.945338       0.002050  \n",
       "35731  1.136052  3305.341764  3298.458236  0.892241       0.002083  \n",
       "35732  1.186573  3305.947874  3298.718792  0.813548       0.002188  \n",
       "35733  1.032056  3306.284006  3298.982661  0.632396       0.002210  \n",
       "35734  0.958988  3306.332355  3299.234312  0.699586       0.002148  \n",
       "35735  1.219415  3307.143421  3299.156579  0.982043       0.002415  \n",
       "35736  1.544801  3308.645737  3298.854263  1.015755       0.002959  \n",
       "35737  1.788218  3310.156311  3298.677022  0.968961       0.003468  \n",
       "35738  1.606042  3310.957157  3299.009509  0.752490       0.003612  \n",
       "35739  1.290638  3311.559653  3299.473680  0.639280       0.003654  \n",
       "35740  0.956375  3311.977468  3299.922532  0.570511       0.003645  \n",
       "35741  0.702217  3312.302017  3300.364650  0.555847       0.003610  \n",
       "35742  0.484462  3312.264828  3300.835172  0.539371       0.003456  \n",
       "35743  0.299834  3312.250008  3301.249992  0.522727       0.003326  \n",
       "35744 -0.084778  3312.221331  3301.378669  0.352435       0.003280  \n",
       "35745 -0.165948  3312.448782  3301.651218  0.458324       0.003265  \n",
       "35746 -0.307564  3312.581252  3301.818748  0.388502       0.003255  \n",
       "35747 -0.427887  3312.057859  3302.142141  0.368895       0.002999  \n",
       "35748 -0.348892  3310.960034  3302.939966  0.506234       0.002425  \n",
       "35749 -0.275950  3309.281444  3304.185222  0.591571       0.001541  \n",
       "35750 -0.363159  3308.456413  3304.710254  0.397673       0.001133  \n",
       "35751 -0.417712  3308.110555  3304.889445  0.406864       0.000974  \n",
       "35752 -0.396932  3308.018779  3304.947888  0.537991       0.000929  \n",
       "35753 -0.380173  3307.938941  3304.961059  0.550371       0.000901  \n",
       "35754 -0.417001  3307.853248  3304.913419  0.437638       0.000889  \n",
       "35755 -0.688751  3307.995891  3304.304109 -0.028200       0.001117  \n",
       "35756 -0.760078  3307.886371  3304.346963  0.127998       0.001071  \n",
       "35757 -0.751368  3307.823623  3304.143043  0.232832       0.001114  \n",
       "\n",
       "[35758 rows x 35 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取主力合约数据\n",
    "path = '/home/chocolate/LSTM-source/'\n",
    "data = pd.read_csv(path + 'data_added_features.csv')\n",
    "data=data.ix[:,3:]\n",
    "data = data.fillna(0)\n",
    "data\n",
    "# data['RaiseDown'] = (data['Latestprice'] - data['First.Latestprice'])/data['First.Latestprice']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 加入后面几分钟的预测指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 为主力合约数据添加两个特征：平均价和下一分钟涨跌幅\n",
    "# 其中，平均价为当前分钟的四个价格的平均值\n",
    "# 下一分钟的涨跌幅为（下一分钟平均价 - 当前分钟平均价）/当前分钟平均价\n",
    "data['MeanPrice'] = (data['Latestprice'] + data['First.Latestprice'] +data['MaxPrice']+data['MinPrice'])/4\n",
    "ser_1 = data['MeanPrice'][1:]\n",
    "ser_1.index = range(len(ser_1))\n",
    "ser1 = data['MeanPrice'][:-1]\n",
    "ser1.index = range(len(ser1))\n",
    "data['RaiseDown_1'] = (ser_1 -ser1)/ser1\n",
    "# 同理，计算当前分钟的后2分钟、3分钟、4分钟、5分钟的涨跌幅\n",
    "ser_2 = data['MeanPrice'][2:]\n",
    "ser_2.index = range(len(ser_2))\n",
    "ser2 = data['MeanPrice'][:-2]\n",
    "ser2.index = range(len(ser2))\n",
    "data['RaiseDown_2'] = (ser_2 -ser2)/ser2\n",
    "\n",
    "ser_3 = data['MeanPrice'][3:]\n",
    "ser_3.index = range(len(ser_3))\n",
    "ser3 = data['MeanPrice'][:-3]\n",
    "ser3.index = range(len(ser3))\n",
    "data['RaiseDown_3'] = (ser_3 -ser3)/ser3\n",
    "\n",
    "ser_4 = data['MeanPrice'][4:]\n",
    "ser_4.index = range(len(ser_4))\n",
    "ser4 = data['MeanPrice'][:-4]\n",
    "ser4.index = range(len(ser4))\n",
    "data['RaiseDown_4'] = (ser_4 -ser4)/ser4\n",
    "\n",
    "ser_5 = data['MeanPrice'][5:]\n",
    "ser_5.index = range(len(ser_5))\n",
    "ser5 = data['MeanPrice'][:-5]\n",
    "ser5.index = range(len(ser5))\n",
    "data['RaiseDown_5'] = (ser_5 -ser5)/ser5\n",
    "data = data.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Latestprice</th>\n",
       "      <th>MaxPrice</th>\n",
       "      <th>MinPrice</th>\n",
       "      <th>Stockup</th>\n",
       "      <th>Turnover</th>\n",
       "      <th>Position</th>\n",
       "      <th>Volume</th>\n",
       "      <th>First.Latestprice</th>\n",
       "      <th>Last.Buy1price</th>\n",
       "      <th>Last.Buy1quantity</th>\n",
       "      <th>...</th>\n",
       "      <th>RaiseDown_1</th>\n",
       "      <th>RaiseDown_2</th>\n",
       "      <th>RaiseDown_3</th>\n",
       "      <th>RaiseDown_4</th>\n",
       "      <th>RaiseDown_5</th>\n",
       "      <th>MA_5_PRED</th>\n",
       "      <th>MA_12_PRED</th>\n",
       "      <th>MA_26_PRED</th>\n",
       "      <th>boll_up_PRED</th>\n",
       "      <th>boll_down_PRED</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3640.4</td>\n",
       "      <td>3646.0</td>\n",
       "      <td>3640.2</td>\n",
       "      <td>-63</td>\n",
       "      <td>115844340</td>\n",
       "      <td>28315</td>\n",
       "      <td>106</td>\n",
       "      <td>3644.8</td>\n",
       "      <td>3640.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002704</td>\n",
       "      <td>-0.006026</td>\n",
       "      <td>-0.006822</td>\n",
       "      <td>-0.007192</td>\n",
       "      <td>-0.006355</td>\n",
       "      <td>0.00</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>1</th>\n",
       "      <td>3625.8</td>\n",
       "      <td>3641.4</td>\n",
       "      <td>3624.4</td>\n",
       "      <td>-79</td>\n",
       "      <td>228902820</td>\n",
       "      <td>28236</td>\n",
       "      <td>210</td>\n",
       "      <td>3640.4</td>\n",
       "      <td>3625.0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003331</td>\n",
       "      <td>-0.004129</td>\n",
       "      <td>-0.004500</td>\n",
       "      <td>-0.003661</td>\n",
       "      <td>-0.004211</td>\n",
       "      <td>0.00</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>2</th>\n",
       "      <td>3618.8</td>\n",
       "      <td>3626.8</td>\n",
       "      <td>3612.6</td>\n",
       "      <td>-110</td>\n",
       "      <td>301745580</td>\n",
       "      <td>28126</td>\n",
       "      <td>278</td>\n",
       "      <td>3625.4</td>\n",
       "      <td>3619.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000801</td>\n",
       "      <td>-0.001174</td>\n",
       "      <td>-0.000331</td>\n",
       "      <td>-0.000884</td>\n",
       "      <td>-0.003632</td>\n",
       "      <td>0.00</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>3</th>\n",
       "      <td>3617.0</td>\n",
       "      <td>3620.2</td>\n",
       "      <td>3616.0</td>\n",
       "      <td>-81</td>\n",
       "      <td>162817740</td>\n",
       "      <td>28045</td>\n",
       "      <td>150</td>\n",
       "      <td>3618.8</td>\n",
       "      <td>3616.8</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000373</td>\n",
       "      <td>0.000470</td>\n",
       "      <td>-0.000083</td>\n",
       "      <td>-0.002833</td>\n",
       "      <td>-0.004118</td>\n",
       "      <td>3624.00</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>4</th>\n",
       "      <td>3618.0</td>\n",
       "      <td>3618.8</td>\n",
       "      <td>3613.0</td>\n",
       "      <td>-66</td>\n",
       "      <td>143205060</td>\n",
       "      <td>27979</td>\n",
       "      <td>132</td>\n",
       "      <td>3616.8</td>\n",
       "      <td>3618.0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000843</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>-0.002461</td>\n",
       "      <td>-0.003747</td>\n",
       "      <td>-0.003636</td>\n",
       "      <td>3620.12</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>5</th>\n",
       "      <td>3621.0</td>\n",
       "      <td>3621.6</td>\n",
       "      <td>3618.0</td>\n",
       "      <td>-47</td>\n",
       "      <td>111857580</td>\n",
       "      <td>27931</td>\n",
       "      <td>103</td>\n",
       "      <td>3618.2</td>\n",
       "      <td>3621.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000553</td>\n",
       "      <td>-0.003301</td>\n",
       "      <td>-0.004586</td>\n",
       "      <td>-0.004476</td>\n",
       "      <td>-0.004614</td>\n",
       "      <td>3617.80</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>6</th>\n",
       "      <td>3614.2</td>\n",
       "      <td>3621.4</td>\n",
       "      <td>3614.2</td>\n",
       "      <td>-46</td>\n",
       "      <td>120504420</td>\n",
       "      <td>27885</td>\n",
       "      <td>111</td>\n",
       "      <td>3621.0</td>\n",
       "      <td>3612.8</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002750</td>\n",
       "      <td>-0.004036</td>\n",
       "      <td>-0.003925</td>\n",
       "      <td>-0.004063</td>\n",
       "      <td>-0.003690</td>\n",
       "      <td>3614.28</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>7</th>\n",
       "      <td>3601.2</td>\n",
       "      <td>3615.6</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>-98</td>\n",
       "      <td>372121500</td>\n",
       "      <td>27787</td>\n",
       "      <td>344</td>\n",
       "      <td>3614.2</td>\n",
       "      <td>3601.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001289</td>\n",
       "      <td>-0.001178</td>\n",
       "      <td>-0.001317</td>\n",
       "      <td>-0.000942</td>\n",
       "      <td>-0.000956</td>\n",
       "      <td>3611.32</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>8</th>\n",
       "      <td>3602.2</td>\n",
       "      <td>3608.6</td>\n",
       "      <td>3600.4</td>\n",
       "      <td>-68</td>\n",
       "      <td>195712320</td>\n",
       "      <td>27719</td>\n",
       "      <td>181</td>\n",
       "      <td>3601.2</td>\n",
       "      <td>3602.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000111</td>\n",
       "      <td>-0.000028</td>\n",
       "      <td>0.000347</td>\n",
       "      <td>0.000333</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>3608.64</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>9</th>\n",
       "      <td>3604.6</td>\n",
       "      <td>3608.4</td>\n",
       "      <td>3599.0</td>\n",
       "      <td>-70</td>\n",
       "      <td>198897300</td>\n",
       "      <td>27649</td>\n",
       "      <td>184</td>\n",
       "      <td>3602.0</td>\n",
       "      <td>3603.4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000139</td>\n",
       "      <td>0.000236</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>0.000389</td>\n",
       "      <td>0.000444</td>\n",
       "      <td>3604.92</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>10</th>\n",
       "      <td>3602.4</td>\n",
       "      <td>3606.0</td>\n",
       "      <td>3599.0</td>\n",
       "      <td>-39</td>\n",
       "      <td>127536900</td>\n",
       "      <td>27610</td>\n",
       "      <td>118</td>\n",
       "      <td>3604.6</td>\n",
       "      <td>3602.8</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000375</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.000527</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.001193</td>\n",
       "      <td>3603.12</td>\n",
       "      <td>3614.233333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3605.2</td>\n",
       "      <td>3607.6</td>\n",
       "      <td>3602.2</td>\n",
       "      <td>-28</td>\n",
       "      <td>83269080</td>\n",
       "      <td>27582</td>\n",
       "      <td>77</td>\n",
       "      <td>3602.4</td>\n",
       "      <td>3603.4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000014</td>\n",
       "      <td>0.000153</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>0.000818</td>\n",
       "      <td>0.000916</td>\n",
       "      <td>3604.04</td>\n",
       "      <td>3611.350000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3605.8</td>\n",
       "      <td>3605.8</td>\n",
       "      <td>3602.2</td>\n",
       "      <td>-9</td>\n",
       "      <td>65952540</td>\n",
       "      <td>27573</td>\n",
       "      <td>61</td>\n",
       "      <td>3603.4</td>\n",
       "      <td>3604.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>0.000832</td>\n",
       "      <td>0.000929</td>\n",
       "      <td>-0.000069</td>\n",
       "      <td>3604.60</td>\n",
       "      <td>3609.616667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3605.0</td>\n",
       "      <td>3606.0</td>\n",
       "      <td>3602.8</td>\n",
       "      <td>-13</td>\n",
       "      <td>50825100</td>\n",
       "      <td>27560</td>\n",
       "      <td>47</td>\n",
       "      <td>3605.8</td>\n",
       "      <td>3604.2</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000055</td>\n",
       "      <td>0.000666</td>\n",
       "      <td>0.000763</td>\n",
       "      <td>-0.000236</td>\n",
       "      <td>-0.000735</td>\n",
       "      <td>3604.88</td>\n",
       "      <td>3608.550000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3606.0</td>\n",
       "      <td>3606.0</td>\n",
       "      <td>3604.2</td>\n",
       "      <td>-27</td>\n",
       "      <td>78953280</td>\n",
       "      <td>27533</td>\n",
       "      <td>73</td>\n",
       "      <td>3604.2</td>\n",
       "      <td>3605.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000610</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.000291</td>\n",
       "      <td>-0.000791</td>\n",
       "      <td>0.000153</td>\n",
       "      <td>3606.16</td>\n",
       "      <td>3607.866667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3608.8</td>\n",
       "      <td>3609.0</td>\n",
       "      <td>3605.4</td>\n",
       "      <td>-23</td>\n",
       "      <td>102802020</td>\n",
       "      <td>27510</td>\n",
       "      <td>95</td>\n",
       "      <td>3606.0</td>\n",
       "      <td>3608.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000097</td>\n",
       "      <td>-0.000901</td>\n",
       "      <td>-0.001400</td>\n",
       "      <td>-0.000457</td>\n",
       "      <td>0.000679</td>\n",
       "      <td>3606.52</td>\n",
       "      <td>3606.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3607.0</td>\n",
       "      <td>3609.2</td>\n",
       "      <td>3605.4</td>\n",
       "      <td>-19</td>\n",
       "      <td>60597360</td>\n",
       "      <td>27491</td>\n",
       "      <td>56</td>\n",
       "      <td>3609.0</td>\n",
       "      <td>3607.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000998</td>\n",
       "      <td>-0.001497</td>\n",
       "      <td>-0.000554</td>\n",
       "      <td>0.000582</td>\n",
       "      <td>0.000762</td>\n",
       "      <td>3605.64</td>\n",
       "      <td>3605.316667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3601.4</td>\n",
       "      <td>3607.0</td>\n",
       "      <td>3601.4</td>\n",
       "      <td>-44</td>\n",
       "      <td>128675580</td>\n",
       "      <td>27447</td>\n",
       "      <td>119</td>\n",
       "      <td>3606.4</td>\n",
       "      <td>3601.4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000499</td>\n",
       "      <td>0.000444</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.001762</td>\n",
       "      <td>-0.001082</td>\n",
       "      <td>3606.00</td>\n",
       "      <td>3604.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3606.8</td>\n",
       "      <td>3606.8</td>\n",
       "      <td>3594.0</td>\n",
       "      <td>-16</td>\n",
       "      <td>176006520</td>\n",
       "      <td>27431</td>\n",
       "      <td>163</td>\n",
       "      <td>3601.4</td>\n",
       "      <td>3604.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000944</td>\n",
       "      <td>0.002082</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>-0.000583</td>\n",
       "      <td>-0.003068</td>\n",
       "      <td>3606.20</td>\n",
       "      <td>3605.183333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3607.0</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>3603.4</td>\n",
       "      <td>-4</td>\n",
       "      <td>97367760</td>\n",
       "      <td>27428</td>\n",
       "      <td>90</td>\n",
       "      <td>3604.4</td>\n",
       "      <td>3606.6</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001137</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>-0.001525</td>\n",
       "      <td>-0.004008</td>\n",
       "      <td>-0.003425</td>\n",
       "      <td>3607.04</td>\n",
       "      <td>3606.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3613.0</td>\n",
       "      <td>3613.6</td>\n",
       "      <td>3605.4</td>\n",
       "      <td>-35</td>\n",
       "      <td>123478800</td>\n",
       "      <td>27391</td>\n",
       "      <td>114</td>\n",
       "      <td>3607.0</td>\n",
       "      <td>3612.4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000180</td>\n",
       "      <td>-0.002659</td>\n",
       "      <td>-0.005139</td>\n",
       "      <td>-0.004557</td>\n",
       "      <td>-0.004405</td>\n",
       "      <td>3607.20</td>\n",
       "      <td>3606.350000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3607.8</td>\n",
       "      <td>3613.6</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>-30</td>\n",
       "      <td>72574440</td>\n",
       "      <td>27361</td>\n",
       "      <td>67</td>\n",
       "      <td>3612.4</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002839</td>\n",
       "      <td>-0.005318</td>\n",
       "      <td>-0.004736</td>\n",
       "      <td>-0.004584</td>\n",
       "      <td>-0.005636</td>\n",
       "      <td>3605.68</td>\n",
       "      <td>3605.633333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3616.497870</td>\n",
       "      <td>3594.768797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3593.8</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>3591.2</td>\n",
       "      <td>-58</td>\n",
       "      <td>201761820</td>\n",
       "      <td>27303</td>\n",
       "      <td>187</td>\n",
       "      <td>3607.8</td>\n",
       "      <td>3592.2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002486</td>\n",
       "      <td>-0.001903</td>\n",
       "      <td>-0.001750</td>\n",
       "      <td>-0.002805</td>\n",
       "      <td>-0.004528</td>\n",
       "      <td>3602.28</td>\n",
       "      <td>3604.350000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3617.054538</td>\n",
       "      <td>3591.645462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3589.8</td>\n",
       "      <td>3594.4</td>\n",
       "      <td>3588.4</td>\n",
       "      <td>-39</td>\n",
       "      <td>170214000</td>\n",
       "      <td>27264</td>\n",
       "      <td>158</td>\n",
       "      <td>3592.2</td>\n",
       "      <td>3589.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000738</td>\n",
       "      <td>-0.000320</td>\n",
       "      <td>-0.002047</td>\n",
       "      <td>-0.004817</td>\n",
       "      <td>3600.36</td>\n",
       "      <td>3603.650000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3616.462440</td>\n",
       "      <td>3590.837560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3597.4</td>\n",
       "      <td>3597.8</td>\n",
       "      <td>3589.0</td>\n",
       "      <td>-37</td>\n",
       "      <td>95919060</td>\n",
       "      <td>27227</td>\n",
       "      <td>89</td>\n",
       "      <td>3589.0</td>\n",
       "      <td>3594.8</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000153</td>\n",
       "      <td>-0.000904</td>\n",
       "      <td>-0.002630</td>\n",
       "      <td>-0.005399</td>\n",
       "      <td>-0.007069</td>\n",
       "      <td>3596.04</td>\n",
       "      <td>3602.516667</td>\n",
       "      <td>3608.146154</td>\n",
       "      <td>3616.596706</td>\n",
       "      <td>3588.436628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3591.4</td>\n",
       "      <td>3597.4</td>\n",
       "      <td>3589.2</td>\n",
       "      <td>-7</td>\n",
       "      <td>89435100</td>\n",
       "      <td>27220</td>\n",
       "      <td>83</td>\n",
       "      <td>3597.4</td>\n",
       "      <td>3589.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001057</td>\n",
       "      <td>-0.002783</td>\n",
       "      <td>-0.005551</td>\n",
       "      <td>-0.007221</td>\n",
       "      <td>-0.007151</td>\n",
       "      <td>3592.08</td>\n",
       "      <td>3601.016667</td>\n",
       "      <td>3606.130769</td>\n",
       "      <td>3616.908736</td>\n",
       "      <td>3585.124597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3588.0</td>\n",
       "      <td>3592.8</td>\n",
       "      <td>3588.0</td>\n",
       "      <td>-13</td>\n",
       "      <td>91545060</td>\n",
       "      <td>27207</td>\n",
       "      <td>85</td>\n",
       "      <td>3591.4</td>\n",
       "      <td>3588.0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001727</td>\n",
       "      <td>-0.004499</td>\n",
       "      <td>-0.006170</td>\n",
       "      <td>-0.006100</td>\n",
       "      <td>-0.008635</td>\n",
       "      <td>3589.32</td>\n",
       "      <td>3598.616667</td>\n",
       "      <td>3604.369231</td>\n",
       "      <td>3617.794630</td>\n",
       "      <td>3579.438704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3580.0</td>\n",
       "      <td>3588.6</td>\n",
       "      <td>3580.0</td>\n",
       "      <td>-4</td>\n",
       "      <td>167710680</td>\n",
       "      <td>27203</td>\n",
       "      <td>156</td>\n",
       "      <td>3586.8</td>\n",
       "      <td>3580.0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002776</td>\n",
       "      <td>-0.004451</td>\n",
       "      <td>-0.004381</td>\n",
       "      <td>-0.006920</td>\n",
       "      <td>-0.013296</td>\n",
       "      <td>3584.96</td>\n",
       "      <td>3595.366667</td>\n",
       "      <td>3602.415385</td>\n",
       "      <td>3620.214971</td>\n",
       "      <td>3570.518362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3568.0</td>\n",
       "      <td>3580.2</td>\n",
       "      <td>3567.2</td>\n",
       "      <td>-1</td>\n",
       "      <td>190875540</td>\n",
       "      <td>27202</td>\n",
       "      <td>178</td>\n",
       "      <td>3580.2</td>\n",
       "      <td>3567.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001679</td>\n",
       "      <td>-0.001609</td>\n",
       "      <td>-0.004155</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.012032</td>\n",
       "      <td>3579.08</td>\n",
       "      <td>3592.583333</td>\n",
       "      <td>3600.530769</td>\n",
       "      <td>3621.110015</td>\n",
       "      <td>3564.056652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3568.0</td>\n",
       "      <td>3571.4</td>\n",
       "      <td>3565.0</td>\n",
       "      <td>-17</td>\n",
       "      <td>135944700</td>\n",
       "      <td>27185</td>\n",
       "      <td>127</td>\n",
       "      <td>3567.2</td>\n",
       "      <td>3566.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>-0.002480</td>\n",
       "      <td>-0.008885</td>\n",
       "      <td>-0.010370</td>\n",
       "      <td>-0.009263</td>\n",
       "      <td>3574.40</td>\n",
       "      <td>3589.350000</td>\n",
       "      <td>3598.607692</td>\n",
       "      <td>3620.402253</td>\n",
       "      <td>3558.297747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35728</th>\n",
       "      <td>3301.6</td>\n",
       "      <td>3301.6</td>\n",
       "      <td>3299.2</td>\n",
       "      <td>14</td>\n",
       "      <td>30692160</td>\n",
       "      <td>37376</td>\n",
       "      <td>31</td>\n",
       "      <td>3300.8</td>\n",
       "      <td>3300.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000409</td>\n",
       "      <td>0.000833</td>\n",
       "      <td>0.001121</td>\n",
       "      <td>0.000969</td>\n",
       "      <td>0.000939</td>\n",
       "      <td>3301.56</td>\n",
       "      <td>3300.800000</td>\n",
       "      <td>3301.153846</td>\n",
       "      <td>3304.388704</td>\n",
       "      <td>3297.211296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35729</th>\n",
       "      <td>3302.4</td>\n",
       "      <td>3304.4</td>\n",
       "      <td>3300.2</td>\n",
       "      <td>29</td>\n",
       "      <td>61434300</td>\n",
       "      <td>37405</td>\n",
       "      <td>62</td>\n",
       "      <td>3301.6</td>\n",
       "      <td>3302.4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000424</td>\n",
       "      <td>0.000712</td>\n",
       "      <td>0.000560</td>\n",
       "      <td>0.000530</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>3302.08</td>\n",
       "      <td>3301.383333</td>\n",
       "      <td>3301.207692</td>\n",
       "      <td>3304.770277</td>\n",
       "      <td>3297.996389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35730</th>\n",
       "      <td>3304.4</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>3302.4</td>\n",
       "      <td>22</td>\n",
       "      <td>42620280</td>\n",
       "      <td>37427</td>\n",
       "      <td>43</td>\n",
       "      <td>3302.4</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000288</td>\n",
       "      <td>0.000136</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000711</td>\n",
       "      <td>3302.76</td>\n",
       "      <td>3301.900000</td>\n",
       "      <td>3301.330769</td>\n",
       "      <td>3305.341764</td>\n",
       "      <td>3298.458236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35731</th>\n",
       "      <td>3304.6</td>\n",
       "      <td>3305.6</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>22</td>\n",
       "      <td>75345540</td>\n",
       "      <td>37449</td>\n",
       "      <td>76</td>\n",
       "      <td>3304.6</td>\n",
       "      <td>3304.6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000151</td>\n",
       "      <td>-0.000182</td>\n",
       "      <td>-0.000212</td>\n",
       "      <td>0.000424</td>\n",
       "      <td>0.000938</td>\n",
       "      <td>3303.52</td>\n",
       "      <td>3302.333333</td>\n",
       "      <td>3301.476923</td>\n",
       "      <td>3305.947874</td>\n",
       "      <td>3298.718792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35732</th>\n",
       "      <td>3304.6</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>3301.4</td>\n",
       "      <td>40</td>\n",
       "      <td>85243080</td>\n",
       "      <td>37489</td>\n",
       "      <td>86</td>\n",
       "      <td>3304.6</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000030</td>\n",
       "      <td>-0.000061</td>\n",
       "      <td>0.000575</td>\n",
       "      <td>0.001090</td>\n",
       "      <td>0.001453</td>\n",
       "      <td>3303.92</td>\n",
       "      <td>3302.633333</td>\n",
       "      <td>3301.600000</td>\n",
       "      <td>3306.284006</td>\n",
       "      <td>3298.982661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35733</th>\n",
       "      <td>3303.6</td>\n",
       "      <td>3304.6</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>7</td>\n",
       "      <td>30726180</td>\n",
       "      <td>37496</td>\n",
       "      <td>31</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3303.6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000030</td>\n",
       "      <td>0.000605</td>\n",
       "      <td>0.001120</td>\n",
       "      <td>0.001483</td>\n",
       "      <td>0.001498</td>\n",
       "      <td>3304.28</td>\n",
       "      <td>3302.783333</td>\n",
       "      <td>3301.661538</td>\n",
       "      <td>3306.332355</td>\n",
       "      <td>3299.234312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35734</th>\n",
       "      <td>3304.2</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>8</td>\n",
       "      <td>21803700</td>\n",
       "      <td>37504</td>\n",
       "      <td>22</td>\n",
       "      <td>3303.6</td>\n",
       "      <td>3303.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000636</td>\n",
       "      <td>0.001150</td>\n",
       "      <td>0.001513</td>\n",
       "      <td>0.001529</td>\n",
       "      <td>0.001180</td>\n",
       "      <td>3304.80</td>\n",
       "      <td>3303.150000</td>\n",
       "      <td>3301.823077</td>\n",
       "      <td>3307.143421</td>\n",
       "      <td>3299.156579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35735</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3309.0</td>\n",
       "      <td>3303.4</td>\n",
       "      <td>9</td>\n",
       "      <td>61494420</td>\n",
       "      <td>37513</td>\n",
       "      <td>62</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000514</td>\n",
       "      <td>0.000877</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>0.000393</td>\n",
       "      <td>3305.64</td>\n",
       "      <td>3303.750000</td>\n",
       "      <td>3302.053846</td>\n",
       "      <td>3308.645737</td>\n",
       "      <td>3298.854263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35736</th>\n",
       "      <td>3308.8</td>\n",
       "      <td>3309.0</td>\n",
       "      <td>3305.6</td>\n",
       "      <td>12</td>\n",
       "      <td>47622960</td>\n",
       "      <td>37525</td>\n",
       "      <td>48</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3307.6</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>0.000378</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>-0.000121</td>\n",
       "      <td>-0.000151</td>\n",
       "      <td>3306.68</td>\n",
       "      <td>3304.416667</td>\n",
       "      <td>3302.361538</td>\n",
       "      <td>3310.156311</td>\n",
       "      <td>3298.677022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35737</th>\n",
       "      <td>3309.8</td>\n",
       "      <td>3309.8</td>\n",
       "      <td>3306.8</td>\n",
       "      <td>26</td>\n",
       "      <td>70471860</td>\n",
       "      <td>37551</td>\n",
       "      <td>71</td>\n",
       "      <td>3308.8</td>\n",
       "      <td>3308.6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.000332</td>\n",
       "      <td>-0.000484</td>\n",
       "      <td>-0.000514</td>\n",
       "      <td>-0.000635</td>\n",
       "      <td>3307.56</td>\n",
       "      <td>3304.983333</td>\n",
       "      <td>3302.600000</td>\n",
       "      <td>3310.957157</td>\n",
       "      <td>3299.009509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35738</th>\n",
       "      <td>3308.0</td>\n",
       "      <td>3309.8</td>\n",
       "      <td>3307.8</td>\n",
       "      <td>8</td>\n",
       "      <td>37720740</td>\n",
       "      <td>37559</td>\n",
       "      <td>38</td>\n",
       "      <td>3309.8</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000348</td>\n",
       "      <td>-0.000499</td>\n",
       "      <td>-0.000529</td>\n",
       "      <td>-0.000650</td>\n",
       "      <td>-0.000499</td>\n",
       "      <td>3308.16</td>\n",
       "      <td>3305.516667</td>\n",
       "      <td>3302.792308</td>\n",
       "      <td>3311.559653</td>\n",
       "      <td>3299.473680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35739</th>\n",
       "      <td>3307.2</td>\n",
       "      <td>3308.6</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>-3</td>\n",
       "      <td>19846320</td>\n",
       "      <td>37556</td>\n",
       "      <td>20</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000151</td>\n",
       "      <td>-0.000181</td>\n",
       "      <td>-0.000302</td>\n",
       "      <td>-0.000151</td>\n",
       "      <td>-0.000499</td>\n",
       "      <td>3308.12</td>\n",
       "      <td>3305.950000</td>\n",
       "      <td>3302.961538</td>\n",
       "      <td>3311.977468</td>\n",
       "      <td>3299.922532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35740</th>\n",
       "      <td>3306.8</td>\n",
       "      <td>3308.2</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>5</td>\n",
       "      <td>33737580</td>\n",
       "      <td>37561</td>\n",
       "      <td>34</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000030</td>\n",
       "      <td>-0.000151</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000348</td>\n",
       "      <td>-0.000287</td>\n",
       "      <td>3307.76</td>\n",
       "      <td>3306.333333</td>\n",
       "      <td>3303.176923</td>\n",
       "      <td>3312.302017</td>\n",
       "      <td>3300.364650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35741</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>1</td>\n",
       "      <td>38690940</td>\n",
       "      <td>37562</td>\n",
       "      <td>39</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000121</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>-0.000317</td>\n",
       "      <td>-0.000257</td>\n",
       "      <td>-0.000363</td>\n",
       "      <td>3307.20</td>\n",
       "      <td>3306.550000</td>\n",
       "      <td>3303.500000</td>\n",
       "      <td>3312.264828</td>\n",
       "      <td>3300.835172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35742</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>6</td>\n",
       "      <td>31743660</td>\n",
       "      <td>37568</td>\n",
       "      <td>32</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000151</td>\n",
       "      <td>-0.000197</td>\n",
       "      <td>-0.000136</td>\n",
       "      <td>-0.000242</td>\n",
       "      <td>-0.000091</td>\n",
       "      <td>3307.00</td>\n",
       "      <td>3306.750000</td>\n",
       "      <td>3303.830769</td>\n",
       "      <td>3312.250008</td>\n",
       "      <td>3301.249992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35743</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>4</td>\n",
       "      <td>30758820</td>\n",
       "      <td>37572</td>\n",
       "      <td>31</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000348</td>\n",
       "      <td>-0.000287</td>\n",
       "      <td>-0.000393</td>\n",
       "      <td>-0.000242</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>3306.60</td>\n",
       "      <td>3306.800000</td>\n",
       "      <td>3304.130769</td>\n",
       "      <td>3312.221331</td>\n",
       "      <td>3301.378669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35744</th>\n",
       "      <td>3305.2</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>10</td>\n",
       "      <td>32726820</td>\n",
       "      <td>37582</td>\n",
       "      <td>33</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>-0.000045</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000333</td>\n",
       "      <td>3306.56</td>\n",
       "      <td>3307.050000</td>\n",
       "      <td>3304.446154</td>\n",
       "      <td>3312.448782</td>\n",
       "      <td>3301.651218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35745</th>\n",
       "      <td>3306.6</td>\n",
       "      <td>3307.6</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>9</td>\n",
       "      <td>32736780</td>\n",
       "      <td>37593</td>\n",
       "      <td>33</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000106</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.000272</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>3306.36</td>\n",
       "      <td>3307.200000</td>\n",
       "      <td>3304.700000</td>\n",
       "      <td>3312.581252</td>\n",
       "      <td>3301.818748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35746</th>\n",
       "      <td>3306.0</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>3305.2</td>\n",
       "      <td>2</td>\n",
       "      <td>27770820</td>\n",
       "      <td>37584</td>\n",
       "      <td>28</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000151</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>0.000378</td>\n",
       "      <td>0.000212</td>\n",
       "      <td>0.000136</td>\n",
       "      <td>3306.12</td>\n",
       "      <td>3307.100000</td>\n",
       "      <td>3304.923077</td>\n",
       "      <td>3312.057859</td>\n",
       "      <td>3302.142141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35747</th>\n",
       "      <td>3305.8</td>\n",
       "      <td>3307.4</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>13</td>\n",
       "      <td>38687640</td>\n",
       "      <td>37606</td>\n",
       "      <td>39</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>3306.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000030</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>-0.000015</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>3306.12</td>\n",
       "      <td>3306.950000</td>\n",
       "      <td>3305.100000</td>\n",
       "      <td>3310.960034</td>\n",
       "      <td>3302.939966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35748</th>\n",
       "      <td>3307.0</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>17</td>\n",
       "      <td>47606100</td>\n",
       "      <td>37623</td>\n",
       "      <td>48</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.000091</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.000136</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>3306.52</td>\n",
       "      <td>3306.733333</td>\n",
       "      <td>3305.276923</td>\n",
       "      <td>3309.281444</td>\n",
       "      <td>3304.185222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35749</th>\n",
       "      <td>3307.2</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3306.4</td>\n",
       "      <td>16</td>\n",
       "      <td>47622480</td>\n",
       "      <td>37639</td>\n",
       "      <td>48</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000166</td>\n",
       "      <td>-0.000242</td>\n",
       "      <td>-0.000121</td>\n",
       "      <td>-0.000212</td>\n",
       "      <td>-0.000227</td>\n",
       "      <td>3306.44</td>\n",
       "      <td>3306.583333</td>\n",
       "      <td>3305.453846</td>\n",
       "      <td>3308.456413</td>\n",
       "      <td>3304.710254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35750</th>\n",
       "      <td>3306.2</td>\n",
       "      <td>3307.4</td>\n",
       "      <td>3305.6</td>\n",
       "      <td>27</td>\n",
       "      <td>60509280</td>\n",
       "      <td>37666</td>\n",
       "      <td>61</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000076</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>-0.000045</td>\n",
       "      <td>-0.000060</td>\n",
       "      <td>-0.000408</td>\n",
       "      <td>3306.48</td>\n",
       "      <td>3306.500000</td>\n",
       "      <td>3305.623077</td>\n",
       "      <td>3308.110555</td>\n",
       "      <td>3304.889445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35751</th>\n",
       "      <td>3306.2</td>\n",
       "      <td>3307.0</td>\n",
       "      <td>3306.0</td>\n",
       "      <td>13</td>\n",
       "      <td>39678300</td>\n",
       "      <td>37679</td>\n",
       "      <td>40</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>3306.0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.000333</td>\n",
       "      <td>-0.000544</td>\n",
       "      <td>3306.64</td>\n",
       "      <td>3306.483333</td>\n",
       "      <td>3305.830769</td>\n",
       "      <td>3308.018779</td>\n",
       "      <td>3304.947888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35752</th>\n",
       "      <td>3306.6</td>\n",
       "      <td>3307.4</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>6</td>\n",
       "      <td>46622640</td>\n",
       "      <td>37685</td>\n",
       "      <td>47</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000091</td>\n",
       "      <td>-0.000106</td>\n",
       "      <td>-0.000454</td>\n",
       "      <td>-0.000665</td>\n",
       "      <td>-0.000514</td>\n",
       "      <td>3306.56</td>\n",
       "      <td>3306.450000</td>\n",
       "      <td>3306.053846</td>\n",
       "      <td>3307.938941</td>\n",
       "      <td>3304.961059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35753</th>\n",
       "      <td>3306.6</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>4</td>\n",
       "      <td>38684280</td>\n",
       "      <td>37689</td>\n",
       "      <td>39</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000015</td>\n",
       "      <td>-0.000363</td>\n",
       "      <td>-0.000575</td>\n",
       "      <td>-0.000423</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3306.36</td>\n",
       "      <td>3306.383333</td>\n",
       "      <td>3306.230769</td>\n",
       "      <td>3307.853248</td>\n",
       "      <td>3304.913419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35754</th>\n",
       "      <td>3306.2</td>\n",
       "      <td>3307.2</td>\n",
       "      <td>3305.6</td>\n",
       "      <td>7</td>\n",
       "      <td>51579780</td>\n",
       "      <td>37696</td>\n",
       "      <td>52</td>\n",
       "      <td>3306.6</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000348</td>\n",
       "      <td>-0.000560</td>\n",
       "      <td>-0.000408</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3305.96</td>\n",
       "      <td>3306.150000</td>\n",
       "      <td>3306.300000</td>\n",
       "      <td>3307.995891</td>\n",
       "      <td>3304.304109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35755</th>\n",
       "      <td>3304.2</td>\n",
       "      <td>3306.8</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>29</td>\n",
       "      <td>80316660</td>\n",
       "      <td>37725</td>\n",
       "      <td>81</td>\n",
       "      <td>3305.8</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000212</td>\n",
       "      <td>-0.000061</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3305.68</td>\n",
       "      <td>3306.116667</td>\n",
       "      <td>3306.315385</td>\n",
       "      <td>3307.886371</td>\n",
       "      <td>3304.346963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35756</th>\n",
       "      <td>3304.8</td>\n",
       "      <td>3305.4</td>\n",
       "      <td>3303.8</td>\n",
       "      <td>11</td>\n",
       "      <td>60475860</td>\n",
       "      <td>37736</td>\n",
       "      <td>61</td>\n",
       "      <td>3304.2</td>\n",
       "      <td>3304.8</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000151</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3305.36</td>\n",
       "      <td>3305.983333</td>\n",
       "      <td>3306.330769</td>\n",
       "      <td>3307.823623</td>\n",
       "      <td>3304.143043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35757</th>\n",
       "      <td>3305.0</td>\n",
       "      <td>3306.2</td>\n",
       "      <td>3304.0</td>\n",
       "      <td>12</td>\n",
       "      <td>74366280</td>\n",
       "      <td>37748</td>\n",
       "      <td>75</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>3305.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\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",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35758 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Latestprice  MaxPrice  MinPrice  Stockup   Turnover  Position  Volume  \\\n",
       "0           3640.4    3646.0    3640.2      -63  115844340     28315     106   \n",
       "1           3625.8    3641.4    3624.4      -79  228902820     28236     210   \n",
       "2           3618.8    3626.8    3612.6     -110  301745580     28126     278   \n",
       "3           3617.0    3620.2    3616.0      -81  162817740     28045     150   \n",
       "4           3618.0    3618.8    3613.0      -66  143205060     27979     132   \n",
       "5           3621.0    3621.6    3618.0      -47  111857580     27931     103   \n",
       "6           3614.2    3621.4    3614.2      -46  120504420     27885     111   \n",
       "7           3601.2    3615.6    3600.0      -98  372121500     27787     344   \n",
       "8           3602.2    3608.6    3600.4      -68  195712320     27719     181   \n",
       "9           3604.6    3608.4    3599.0      -70  198897300     27649     184   \n",
       "10          3602.4    3606.0    3599.0      -39  127536900     27610     118   \n",
       "11          3605.2    3607.6    3602.2      -28   83269080     27582      77   \n",
       "12          3605.8    3605.8    3602.2       -9   65952540     27573      61   \n",
       "13          3605.0    3606.0    3602.8      -13   50825100     27560      47   \n",
       "14          3606.0    3606.0    3604.2      -27   78953280     27533      73   \n",
       "15          3608.8    3609.0    3605.4      -23  102802020     27510      95   \n",
       "16          3607.0    3609.2    3605.4      -19   60597360     27491      56   \n",
       "17          3601.4    3607.0    3601.4      -44  128675580     27447     119   \n",
       "18          3606.8    3606.8    3594.0      -16  176006520     27431     163   \n",
       "19          3607.0    3607.8    3603.4       -4   97367760     27428      90   \n",
       "20          3613.0    3613.6    3605.4      -35  123478800     27391     114   \n",
       "21          3607.8    3613.6    3607.8      -30   72574440     27361      67   \n",
       "22          3593.8    3607.8    3591.2      -58  201761820     27303     187   \n",
       "23          3589.8    3594.4    3588.4      -39  170214000     27264     158   \n",
       "24          3597.4    3597.8    3589.0      -37   95919060     27227      89   \n",
       "25          3591.4    3597.4    3589.2       -7   89435100     27220      83   \n",
       "26          3588.0    3592.8    3588.0      -13   91545060     27207      85   \n",
       "27          3580.0    3588.6    3580.0       -4  167710680     27203     156   \n",
       "28          3568.0    3580.2    3567.2       -1  190875540     27202     178   \n",
       "29          3568.0    3571.4    3565.0      -17  135944700     27185     127   \n",
       "...            ...       ...       ...      ...        ...       ...     ...   \n",
       "35728       3301.6    3301.6    3299.2       14   30692160     37376      31   \n",
       "35729       3302.4    3304.4    3300.2       29   61434300     37405      62   \n",
       "35730       3304.4    3305.0    3302.4       22   42620280     37427      43   \n",
       "35731       3304.6    3305.6    3303.2       22   75345540     37449      76   \n",
       "35732       3304.6    3305.4    3301.4       40   85243080     37489      86   \n",
       "35733       3303.6    3304.6    3303.2        7   30726180     37496      31   \n",
       "35734       3304.2    3304.2    3303.2        8   21803700     37504      22   \n",
       "35735       3307.0    3309.0    3303.4        9   61494420     37513      62   \n",
       "35736       3308.8    3309.0    3305.6       12   47622960     37525      48   \n",
       "35737       3309.8    3309.8    3306.8       26   70471860     37551      71   \n",
       "35738       3308.0    3309.8    3307.8        8   37720740     37559      38   \n",
       "35739       3307.2    3308.6    3307.0       -3   19846320     37556      20   \n",
       "35740       3306.8    3308.2    3306.6        5   33737580     37561      34   \n",
       "35741       3307.0    3308.0    3306.4        1   38690940     37562      39   \n",
       "35742       3307.0    3307.2    3306.2        6   31743660     37568      32   \n",
       "35743       3307.0    3308.0    3306.6        4   30758820     37572      31   \n",
       "35744       3305.2    3307.0    3305.0       10   32726820     37582      33   \n",
       "35745       3306.6    3307.6    3305.4        9   32736780     37593      33   \n",
       "35746       3306.0    3306.6    3305.2        2   27770820     37584      28   \n",
       "35747       3305.8    3307.4    3305.8       13   38687640     37606      39   \n",
       "35748       3307.0    3307.0    3305.4       17   47606100     37623      48   \n",
       "35749       3307.2    3308.0    3306.4       16   47622480     37639      48   \n",
       "35750       3306.2    3307.4    3305.6       27   60509280     37666      61   \n",
       "35751       3306.2    3307.0    3306.0       13   39678300     37679      40   \n",
       "35752       3306.6    3307.4    3305.8        6   46622640     37685      47   \n",
       "35753       3306.6    3307.2    3305.8        4   38684280     37689      39   \n",
       "35754       3306.2    3307.2    3305.6        7   51579780     37696      52   \n",
       "35755       3304.2    3306.8    3304.2       29   80316660     37725      81   \n",
       "35756       3304.8    3305.4    3303.8       11   60475860     37736      61   \n",
       "35757       3305.0    3306.2    3304.0       12   74366280     37748      75   \n",
       "\n",
       "       First.Latestprice  Last.Buy1price  Last.Buy1quantity       ...        \\\n",
       "0                 3644.8          3640.2                  2       ...         \n",
       "1                 3640.4          3625.0                  4       ...         \n",
       "2                 3625.4          3619.2                  1       ...         \n",
       "3                 3618.8          3616.8                  5       ...         \n",
       "4                 3616.8          3618.0                  2       ...         \n",
       "5                 3618.2          3621.0                  1       ...         \n",
       "6                 3621.0          3612.8                  2       ...         \n",
       "7                 3614.2          3601.0                  1       ...         \n",
       "8                 3601.2          3602.2                  2       ...         \n",
       "9                 3602.0          3603.4                  1       ...         \n",
       "10                3604.6          3602.8                  1       ...         \n",
       "11                3602.4          3603.4                  2       ...         \n",
       "12                3603.4          3604.6                  1       ...         \n",
       "13                3605.8          3604.2                  5       ...         \n",
       "14                3604.2          3605.2                  1       ...         \n",
       "15                3606.0          3608.6                  1       ...         \n",
       "16                3609.0          3607.0                  1       ...         \n",
       "17                3606.4          3601.4                  3       ...         \n",
       "18                3601.4          3604.2                  1       ...         \n",
       "19                3604.4          3606.6                  3       ...         \n",
       "20                3607.0          3612.4                  1       ...         \n",
       "21                3612.4          3607.8                  3       ...         \n",
       "22                3607.8          3592.2                  3       ...         \n",
       "23                3592.2          3589.2                  1       ...         \n",
       "24                3589.0          3594.8                  1       ...         \n",
       "25                3597.4          3589.2                  1       ...         \n",
       "26                3591.4          3588.0                  5       ...         \n",
       "27                3586.8          3580.0                  2       ...         \n",
       "28                3580.2          3567.2                  1       ...         \n",
       "29                3567.2          3566.6                  1       ...         \n",
       "...                  ...             ...                ...       ...         \n",
       "35728             3300.8          3300.2                  2       ...         \n",
       "35729             3301.6          3302.4                  1       ...         \n",
       "35730             3302.4          3303.2                  2       ...         \n",
       "35731             3304.6          3304.6                  2       ...         \n",
       "35732             3304.6          3304.2                  1       ...         \n",
       "35733             3304.2          3303.6                  2       ...         \n",
       "35734             3303.6          3303.2                  2       ...         \n",
       "35735             3304.2          3307.2                  1       ...         \n",
       "35736             3307.0          3307.6                  3       ...         \n",
       "35737             3308.8          3308.6                  2       ...         \n",
       "35738             3309.8          3308.0                  1       ...         \n",
       "35739             3308.0          3307.0                  1       ...         \n",
       "35740             3307.2          3306.6                  1       ...         \n",
       "35741             3307.0          3306.4                  3       ...         \n",
       "35742             3306.4          3306.4                  2       ...         \n",
       "35743             3307.2          3306.2                  2       ...         \n",
       "35744             3307.0          3305.0                  6       ...         \n",
       "35745             3305.4          3306.6                  1       ...         \n",
       "35746             3305.8          3305.4                  2       ...         \n",
       "35747             3306.6          3306.0                  1       ...         \n",
       "35748             3305.8          3306.4                  2       ...         \n",
       "35749             3307.0          3307.2                  1       ...         \n",
       "35750             3307.2          3305.8                  1       ...         \n",
       "35751             3306.2          3306.0                  4       ...         \n",
       "35752             3307.2          3306.2                  3       ...         \n",
       "35753             3306.2          3306.6                  1       ...         \n",
       "35754             3306.6          3305.8                  2       ...         \n",
       "35755             3305.8          3304.2                  3       ...         \n",
       "35756             3304.2          3304.8                  1       ...         \n",
       "35757             3305.0          3305.0                  1       ...         \n",
       "\n",
       "       RaiseDown_1  RaiseDown_2  RaiseDown_3  RaiseDown_4  RaiseDown_5  \\\n",
       "0        -0.002704    -0.006026    -0.006822    -0.007192    -0.006355   \n",
       "1        -0.003331    -0.004129    -0.004500    -0.003661    -0.004211   \n",
       "2        -0.000801    -0.001174    -0.000331    -0.000884    -0.003632   \n",
       "3        -0.000373     0.000470    -0.000083    -0.002833    -0.004118   \n",
       "4         0.000843     0.000290    -0.002461    -0.003747    -0.003636   \n",
       "5        -0.000553    -0.003301    -0.004586    -0.004476    -0.004614   \n",
       "6        -0.002750    -0.004036    -0.003925    -0.004063    -0.003690   \n",
       "7        -0.001289    -0.001178    -0.001317    -0.000942    -0.000956   \n",
       "8         0.000111    -0.000028     0.000347     0.000333     0.000500   \n",
       "9        -0.000139     0.000236     0.000222     0.000389     0.000444   \n",
       "10        0.000375     0.000361     0.000527     0.000583     0.001193   \n",
       "11       -0.000014     0.000153     0.000208     0.000818     0.000916   \n",
       "12        0.000166     0.000222     0.000832     0.000929    -0.000069   \n",
       "13        0.000055     0.000666     0.000763    -0.000236    -0.000735   \n",
       "14        0.000610     0.000707    -0.000291    -0.000791     0.000153   \n",
       "15        0.000097    -0.000901    -0.001400    -0.000457     0.000679   \n",
       "16       -0.000998    -0.001497    -0.000554     0.000582     0.000762   \n",
       "17       -0.000499     0.000444     0.001582     0.001762    -0.001082   \n",
       "18        0.000944     0.002082     0.002262    -0.000583    -0.003068   \n",
       "19        0.001137     0.001317    -0.001525    -0.004008    -0.003425   \n",
       "20        0.000180    -0.002659    -0.005139    -0.004557    -0.004405   \n",
       "21       -0.002839    -0.005318    -0.004736    -0.004584    -0.005636   \n",
       "22       -0.002486    -0.001903    -0.001750    -0.002805    -0.004528   \n",
       "23        0.000585     0.000738    -0.000320    -0.002047    -0.004817   \n",
       "24        0.000153    -0.000904    -0.002630    -0.005399    -0.007069   \n",
       "25       -0.001057    -0.002783    -0.005551    -0.007221    -0.007151   \n",
       "26       -0.001727    -0.004499    -0.006170    -0.006100    -0.008635   \n",
       "27       -0.002776    -0.004451    -0.004381    -0.006920    -0.013296   \n",
       "28       -0.001679    -0.001609    -0.004155    -0.010549    -0.012032   \n",
       "29        0.000070    -0.002480    -0.008885    -0.010370    -0.009263   \n",
       "...            ...          ...          ...          ...          ...   \n",
       "35728     0.000409     0.000833     0.001121     0.000969     0.000939   \n",
       "35729     0.000424     0.000712     0.000560     0.000530     0.000500   \n",
       "35730     0.000288     0.000136     0.000106     0.000076     0.000711   \n",
       "35731    -0.000151    -0.000182    -0.000212     0.000424     0.000938   \n",
       "35732    -0.000030    -0.000061     0.000575     0.001090     0.001453   \n",
       "35733    -0.000030     0.000605     0.001120     0.001483     0.001498   \n",
       "35734     0.000636     0.001150     0.001513     0.001529     0.001180   \n",
       "35735     0.000514     0.000877     0.000892     0.000544     0.000393   \n",
       "35736     0.000363     0.000378     0.000030    -0.000121    -0.000151   \n",
       "35737     0.000015    -0.000332    -0.000484    -0.000514    -0.000635   \n",
       "35738    -0.000348    -0.000499    -0.000529    -0.000650    -0.000499   \n",
       "35739    -0.000151    -0.000181    -0.000302    -0.000151    -0.000499   \n",
       "35740    -0.000030    -0.000151     0.000000    -0.000348    -0.000287   \n",
       "35741    -0.000121     0.000030    -0.000317    -0.000257    -0.000363   \n",
       "35742     0.000151    -0.000197    -0.000136    -0.000242    -0.000091   \n",
       "35743    -0.000348    -0.000287    -0.000393    -0.000242    -0.000272   \n",
       "35744     0.000060    -0.000045     0.000106     0.000076     0.000333   \n",
       "35745    -0.000106     0.000045     0.000015     0.000272     0.000106   \n",
       "35746     0.000151     0.000121     0.000378     0.000212     0.000136   \n",
       "35747    -0.000030     0.000227     0.000060    -0.000015     0.000106   \n",
       "35748     0.000257     0.000091     0.000015     0.000136     0.000045   \n",
       "35749    -0.000166    -0.000242    -0.000121    -0.000212    -0.000227   \n",
       "35750    -0.000076     0.000045    -0.000045    -0.000060    -0.000408   \n",
       "35751     0.000121     0.000030     0.000015    -0.000333    -0.000544   \n",
       "35752    -0.000091    -0.000106    -0.000454    -0.000665    -0.000514   \n",
       "35753    -0.000015    -0.000363    -0.000575    -0.000423     0.000000   \n",
       "35754    -0.000348    -0.000560    -0.000408     0.000000     0.000000   \n",
       "35755    -0.000212    -0.000061     0.000000     0.000000     0.000000   \n",
       "35756     0.000151     0.000000     0.000000     0.000000     0.000000   \n",
       "35757     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
       "\n",
       "       MA_5_PRED   MA_12_PRED   MA_26_PRED  boll_up_PRED  boll_down_PRED  \n",
       "0           0.00     0.000000     0.000000      0.000000        0.000000  \n",
       "1           0.00     0.000000     0.000000      0.000000        0.000000  \n",
       "2           0.00     0.000000     0.000000      0.000000        0.000000  \n",
       "3        3624.00     0.000000     0.000000      0.000000        0.000000  \n",
       "4        3620.12     0.000000     0.000000      0.000000        0.000000  \n",
       "5        3617.80     0.000000     0.000000      0.000000        0.000000  \n",
       "6        3614.28     0.000000     0.000000      0.000000        0.000000  \n",
       "7        3611.32     0.000000     0.000000      0.000000        0.000000  \n",
       "8        3608.64     0.000000     0.000000      0.000000        0.000000  \n",
       "9        3604.92     0.000000     0.000000      0.000000        0.000000  \n",
       "10       3603.12  3614.233333     0.000000      0.000000        0.000000  \n",
       "11       3604.04  3611.350000     0.000000      0.000000        0.000000  \n",
       "12       3604.60  3609.616667     0.000000      0.000000        0.000000  \n",
       "13       3604.88  3608.550000     0.000000      0.000000        0.000000  \n",
       "14       3606.16  3607.866667     0.000000      0.000000        0.000000  \n",
       "15       3606.52  3606.950000     0.000000      0.000000        0.000000  \n",
       "16       3605.64  3605.316667     0.000000      0.000000        0.000000  \n",
       "17       3606.00  3604.700000     0.000000      0.000000        0.000000  \n",
       "18       3606.20  3605.183333     0.000000      0.000000        0.000000  \n",
       "19       3607.04  3606.083333     0.000000      0.000000        0.000000  \n",
       "20       3607.20  3606.350000     0.000000      0.000000        0.000000  \n",
       "21       3605.68  3605.633333     0.000000   3616.497870     3594.768797  \n",
       "22       3602.28  3604.350000     0.000000   3617.054538     3591.645462  \n",
       "23       3600.36  3603.650000     0.000000   3616.462440     3590.837560  \n",
       "24       3596.04  3602.516667  3608.146154   3616.596706     3588.436628  \n",
       "25       3592.08  3601.016667  3606.130769   3616.908736     3585.124597  \n",
       "26       3589.32  3598.616667  3604.369231   3617.794630     3579.438704  \n",
       "27       3584.96  3595.366667  3602.415385   3620.214971     3570.518362  \n",
       "28       3579.08  3592.583333  3600.530769   3621.110015     3564.056652  \n",
       "29       3574.40  3589.350000  3598.607692   3620.402253     3558.297747  \n",
       "...          ...          ...          ...           ...             ...  \n",
       "35728    3301.56  3300.800000  3301.153846   3304.388704     3297.211296  \n",
       "35729    3302.08  3301.383333  3301.207692   3304.770277     3297.996389  \n",
       "35730    3302.76  3301.900000  3301.330769   3305.341764     3298.458236  \n",
       "35731    3303.52  3302.333333  3301.476923   3305.947874     3298.718792  \n",
       "35732    3303.92  3302.633333  3301.600000   3306.284006     3298.982661  \n",
       "35733    3304.28  3302.783333  3301.661538   3306.332355     3299.234312  \n",
       "35734    3304.80  3303.150000  3301.823077   3307.143421     3299.156579  \n",
       "35735    3305.64  3303.750000  3302.053846   3308.645737     3298.854263  \n",
       "35736    3306.68  3304.416667  3302.361538   3310.156311     3298.677022  \n",
       "35737    3307.56  3304.983333  3302.600000   3310.957157     3299.009509  \n",
       "35738    3308.16  3305.516667  3302.792308   3311.559653     3299.473680  \n",
       "35739    3308.12  3305.950000  3302.961538   3311.977468     3299.922532  \n",
       "35740    3307.76  3306.333333  3303.176923   3312.302017     3300.364650  \n",
       "35741    3307.20  3306.550000  3303.500000   3312.264828     3300.835172  \n",
       "35742    3307.00  3306.750000  3303.830769   3312.250008     3301.249992  \n",
       "35743    3306.60  3306.800000  3304.130769   3312.221331     3301.378669  \n",
       "35744    3306.56  3307.050000  3304.446154   3312.448782     3301.651218  \n",
       "35745    3306.36  3307.200000  3304.700000   3312.581252     3301.818748  \n",
       "35746    3306.12  3307.100000  3304.923077   3312.057859     3302.142141  \n",
       "35747    3306.12  3306.950000  3305.100000   3310.960034     3302.939966  \n",
       "35748    3306.52  3306.733333  3305.276923   3309.281444     3304.185222  \n",
       "35749    3306.44  3306.583333  3305.453846   3308.456413     3304.710254  \n",
       "35750    3306.48  3306.500000  3305.623077   3308.110555     3304.889445  \n",
       "35751    3306.64  3306.483333  3305.830769   3308.018779     3304.947888  \n",
       "35752    3306.56  3306.450000  3306.053846   3307.938941     3304.961059  \n",
       "35753    3306.36  3306.383333  3306.230769   3307.853248     3304.913419  \n",
       "35754    3305.96  3306.150000  3306.300000   3307.995891     3304.304109  \n",
       "35755    3305.68  3306.116667  3306.315385   3307.886371     3304.346963  \n",
       "35756    3305.36  3305.983333  3306.330769   3307.823623     3304.143043  \n",
       "35757       0.00     0.000000     0.000000      0.000000        0.000000  \n",
       "\n",
       "[35758 rows x 46 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 添加下一分钟的MA5、MA12、MA26、上轨线、下轨线指标\n",
    "ser_1 = data['MA_5'][1:]\n",
    "ser_1.index = range(len(ser_1))\n",
    "data['MA_5_PRED'] = ser_1\n",
    "\n",
    "ser_2 = data['MA_12'][1:]\n",
    "ser_2.index = range(len(ser_2))\n",
    "data['MA_12_PRED'] = ser_2\n",
    "\n",
    "ser_3 = data['MA_26'][1:]\n",
    "ser_3.index = range(len(ser_3))\n",
    "data['MA_26_PRED'] = ser_3\n",
    "\n",
    "ser_4 = data['boll_up'][1:]\n",
    "ser_4.index = range(len(ser_4))\n",
    "data['boll_up_PRED'] = ser_4\n",
    "\n",
    "ser_5 = data['boll_down'][1:]\n",
    "ser_5.index = range(len(ser_5))\n",
    "data['boll_down_PRED'] = ser_5\n",
    "data = data.fillna(0)\n",
    "data"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "因为我们是根据预测指标进行预测分类的，所以应去掉数据集的所有预测属性，防止它们过多提高预测的准确性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35758, 36)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_new = data.drop(data.columns[36:],axis = 1)\n",
    "data_new\n",
    "data_new_array = np.array(data_new)\n",
    "data_new_array.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 对数据进行标准化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.        ,  1.        ,  1.        , ...,  0.21249949,\n",
       "         0.        ,  1.        ],\n",
       "       [ 0.98349537,  0.9947952 ,  0.98259529, ...,  0.21249949,\n",
       "         0.        ,  0.98885873],\n",
       "       [ 0.97558218,  0.97827563,  0.96959683, ...,  0.21249949,\n",
       "         0.        ,  0.97517249],\n",
       "       ..., \n",
       "       [ 0.61994122,  0.61620276,  0.62987442, ...,  0.1961128 ,\n",
       "         0.00942811,  0.61814274],\n",
       "       [ 0.62061949,  0.61461869,  0.6294338 , ...,  0.28687739,\n",
       "         0.00903733,  0.61735098],\n",
       "       [ 0.62084558,  0.61552387,  0.62965411, ...,  0.34779494,\n",
       "         0.00939723,  0.61791653]])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import preprocessing\n",
    "min_max_scaler = preprocessing.MinMaxScaler()\n",
    "data_new_array = min_max_scaler.fit_transform(data_new_array)\n",
    "data_new_array"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 生成5分钟的时间序列，变为3维数组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35753, 5, 36)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seq_new_5 = []\n",
    "for j in range(len(data_new_array)):\n",
    "    if j+5 < len(data_new_array):\n",
    "        seq_new_5.append(data_new_array[j:j+5])\n",
    "seq_new_5 = np.array(seq_new_5)\n",
    "seq_new_5.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 进行涨跌情况的分类"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 提取训练集、测试集。根据下一分钟的涨跌幅分别打标签，分为五类（通过调整RaiseDown_可改变预测时长）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 5, 32)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 取前面10000个数据作为训练集\n",
    "# 前面的数据点因有na值填充，会对准确性造成一定影响，因此从第1000个点开始\n",
    "train_data = seq_new_5[1000:11000]\n",
    "train_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 5)"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1 = data[1000:11000]\n",
    "train_label = []\n",
    "for i in data1['RaiseDown_5']:\n",
    "    if i > 0.002:\n",
    "        train_label.append([1,0,0,0,0])   #大涨\n",
    "    elif i > 0.0005:\n",
    "        train_label.append([0,1,0,0,0])   #小涨\n",
    "    elif i> -0.0005: \n",
    "        train_label.append([0,0,1,0,0])   #平稳\n",
    "    elif i > -0.002:\n",
    "        train_label.append([0,0,0,1,0])   #小跌\n",
    "    else:\n",
    "        train_label.append([0,0,0,0,1])   #大跌\n",
    "train_label = np.array(train_label)\n",
    "train_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "大涨： 1775\n",
      "小涨： 2125\n",
      "平稳： 1880\n",
      "小跌： 2455\n",
      "大跌： 1765\n"
     ]
    }
   ],
   "source": [
    "# 统计五类情况各自的数量\n",
    "train_label_list = train_label.tolist()\n",
    "print u'大涨：',train_label_list.count([1,0,0,0,0])\n",
    "print u'小涨：',train_label_list.count([0,1,0,0,0])\n",
    "print u'平稳：',train_label_list.count([0,0,1,0,0])\n",
    "print u'小跌：',train_label_list.count([0,0,0,1,0])\n",
    "print u'大跌：',train_label_list.count([0,0,0,0,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# 取后面2000个分钟数据作为测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2000, 5, 32)"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data = seq_new_5[12000:14000]\n",
    "test_data = np.array(test_data)\n",
    "test_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2000, 5)"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2 = data[12000:14000]\n",
    "test_label = []\n",
    "for i in data2['RaiseDown_5']:\n",
    "    if i > 0.002:\n",
    "        test_label.append([1,0,0,0,0])\n",
    "    elif i > 0.0005:\n",
    "        test_label.append([0,1,0,0,0])\n",
    "    elif i> -0.0005:\n",
    "        test_label.append([0,0,1,0,0])\n",
    "    elif i > -0.002:\n",
    "        test_label.append([0,0,0,1,0])\n",
    "    else:\n",
    "        test_label.append([0,0,0,0,1])\n",
    "test_label = np.array(test_label)\n",
    "test_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "大涨： 211\n",
      "小涨： 472\n",
      "平稳： 552\n",
      "小跌： 597\n",
      "大跌： 168\n"
     ]
    }
   ],
   "source": [
    "test_label_list = test_label.tolist()\n",
    "# 测试集五类样本的数量\n",
    "print u'大涨：', test_label_list.count([1,0,0,0,0])\n",
    "print u'小涨：', test_label_list.count([0,1,0,0,0])\n",
    "print u'平稳：', test_label_list.count([0,0,1,0,0])\n",
    "print u'小跌：', test_label_list.count([0,0,0,1,0])\n",
    "print u'大跌：', test_label_list.count([0,0,0,0,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 开始构建LSTM网络，进行分类准确率测试"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "learning_rate = 0.001 # 学习速率\n",
    "training_iters = 100000  # 训练总步长\n",
    "batch_size = 20 # 每小段步长\n",
    "display_step = 100  # 每隔一百小段显示输出\n",
    "\n",
    "# 参数设置\n",
    "n_input = 32 # 特征数量\n",
    "n_steps = 5 # 时间序列长度\n",
    "n_hidden = 500 # 隐藏层神经元个数\n",
    "n_classes = 5 # 分类数量\n",
    "\n",
    "tf.reset_default_graph()  # 重置流图\n",
    "# 设置输入输出格式大小\n",
    "xtr = tf.placeholder(\"float\", [None, n_steps, n_input])\n",
    "ytr = tf.placeholder(\"float\", [None,n_classes])\n",
    "# xte = tf.placeholder(\"float\", [None, n_steps, n_input])\n",
    "# yte = tf.placeholder(\"float\", [None,n_classes])\n",
    "xtr1 = tf.placeholder(\"float\", [None, n_input*n_steps])  \n",
    "xte1 = tf.placeholder(\"float\", [n_input*n_steps])\n",
    "# xte2 = tf.placeholder(\"float\", [None, n_steps, n_input-1])\n",
    "# 定义权重和偏移量\n",
    "weights = {\n",
    "    'out': tf.Variable(tf.random_normal([n_hidden, n_classes]))\n",
    "}\n",
    "biases = {\n",
    "    'out': tf.Variable(tf.random_normal([n_classes]))\n",
    "}\n",
    "\n",
    "# def pred():\n",
    "    \n",
    "def RNN(x, weights, biases):\n",
    "\n",
    "    # 更改数据集的格式，使其满足RNN网络的输入需求\n",
    "    # 现在输入格式: (batch_size, n_steps, n_input)\n",
    "    # 需要的格式: 'n_steps' 个tensor，每个的格式为 (batch_size, n_input)\n",
    "\n",
    "    # 变换batch_size 和 n_steps的位置\n",
    "    x = tf.transpose(x, [1, 0, 2])\n",
    "    # 重新调整格式 (n_steps*batch_size, n_input)\n",
    "    x = tf.reshape(x, [-1, n_input])\n",
    "    # 分割成一系列的 'n_steps' 个tensors，每个的格式为 (batch_size, n_input)\n",
    "    x = tf.split(0, n_steps, x)\n",
    "\n",
    "    # 定义LSTM神经网络结构\n",
    "    lstm_cell = rnn_cell.BasicLSTMCell(n_hidden, forget_bias=1.0)\n",
    "    # 获取输出和状态\n",
    "    outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)\n",
    "    # 返回输出\n",
    "    return tf.matmul(outputs[-1], weights['out']) + biases['out']\n",
    "# 获取预测值\n",
    "pred = RNN(xtr, weights, biases)\n",
    "# train_label = tf.split(0, batch_size, train_label)\n",
    "# 取下一小段的输入\n",
    "def next_batch_tr(batch_size):\n",
    "    step = random.randint(1, len(train_data)/batch_size)\n",
    "    next_batch_data = train_data[(step-1)*batch_size:step*batch_size]\n",
    "    next_batch_label = train_label[(step-1)*batch_size:step*batch_size]   \n",
    "    return next_batch_data, next_batch_label\n",
    "#         return train_data[(step-1)*batch_size:step*batch_size], train_label[(step-1)*batch_size:step*batch_size]\n",
    "# def next_batch_te(step, batch_size):\n",
    "#     return test_data[(step-1)*batch_size:step*batch_size], test_label[(step-1)*batch_size:step*batch_size]\n",
    "\n",
    "Xtr1 = np.reshape(train_data, newshape=(-1, n_input*n_steps))  \n",
    "Xte1 = np.reshape(test_data, newshape=(-1, n_input*n_steps)) \n",
    "Xtr2 = map(map, [float, float], Xtr1)\n",
    "Xte2 = map(map, [float, float], Xte1)\n",
    "Xtr3 = np.array(Xtr2)\n",
    "Xte3 = np.array(Xte2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception AssertionError: AssertionError() in <bound method InteractiveSession.__del__ of <tensorflow.python.client.session.InteractiveSession object at 0x7f6360d088d0>> ignored\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iter 2000, Minibatch Loss= 1.660327, Training Accuracy= 0.35000\n",
      "Iter 4000, Minibatch Loss= 1.466676, Training Accuracy= 0.50000\n",
      "Iter 6000, Minibatch Loss= 1.496378, Training Accuracy= 0.50000\n",
      "Iter 8000, Minibatch Loss= 1.689162, Training Accuracy= 0.20000\n",
      "Iter 10000, Minibatch Loss= 1.344937, Training Accuracy= 0.55000\n",
      "Iter 12000, Minibatch Loss= 1.423913, Training Accuracy= 0.40000\n",
      "Iter 14000, Minibatch Loss= 1.264535, Training Accuracy= 0.30000\n",
      "Iter 16000, Minibatch Loss= 1.737492, Training Accuracy= 0.20000\n",
      "Iter 18000, Minibatch Loss= 1.552188, Training Accuracy= 0.40000\n",
      "Iter 20000, Minibatch Loss= 1.368141, Training Accuracy= 0.70000\n",
      "Iter 22000, Minibatch Loss= 1.460035, Training Accuracy= 0.35000\n",
      "Iter 24000, Minibatch Loss= 1.358842, Training Accuracy= 0.60000\n",
      "Iter 26000, Minibatch Loss= 1.624248, Training Accuracy= 0.15000\n",
      "Iter 28000, Minibatch Loss= 1.428230, Training Accuracy= 0.60000\n",
      "Iter 30000, Minibatch Loss= 1.344221, Training Accuracy= 0.40000\n",
      "Iter 32000, Minibatch Loss= 1.308540, Training Accuracy= 0.40000\n",
      "Iter 34000, Minibatch Loss= 1.196754, Training Accuracy= 0.45000\n",
      "Iter 36000, Minibatch Loss= 1.502317, Training Accuracy= 0.20000\n",
      "Iter 38000, Minibatch Loss= 1.493614, Training Accuracy= 0.40000\n",
      "Iter 40000, Minibatch Loss= 1.588105, Training Accuracy= 0.40000\n",
      "Iter 42000, Minibatch Loss= 1.585778, Training Accuracy= 0.15000\n",
      "Iter 44000, Minibatch Loss= 1.344075, Training Accuracy= 0.50000\n",
      "Iter 46000, Minibatch Loss= 1.536691, Training Accuracy= 0.35000\n",
      "Iter 48000, Minibatch Loss= 1.242239, Training Accuracy= 0.65000\n",
      "Iter 50000, Minibatch Loss= 1.636739, Training Accuracy= 0.15000\n",
      "Iter 52000, Minibatch Loss= 1.452475, Training Accuracy= 0.60000\n",
      "Iter 54000, Minibatch Loss= 1.256098, Training Accuracy= 0.45000\n",
      "Iter 56000, Minibatch Loss= 0.902837, Training Accuracy= 0.60000\n",
      "Iter 58000, Minibatch Loss= 1.417112, Training Accuracy= 0.25000\n",
      "Iter 60000, Minibatch Loss= 1.159732, Training Accuracy= 0.65000\n",
      "Iter 62000, Minibatch Loss= 1.309885, Training Accuracy= 0.45000\n",
      "Iter 64000, Minibatch Loss= 1.137957, Training Accuracy= 0.50000\n",
      "Iter 66000, Minibatch Loss= 1.560267, Training Accuracy= 0.30000\n",
      "Iter 68000, Minibatch Loss= 1.075016, Training Accuracy= 0.50000\n",
      "Iter 70000, Minibatch Loss= 1.235123, Training Accuracy= 0.45000\n",
      "Iter 72000, Minibatch Loss= 1.157490, Training Accuracy= 0.55000\n",
      "Iter 74000, Minibatch Loss= 1.376808, Training Accuracy= 0.40000\n",
      "Iter 76000, Minibatch Loss= 1.162173, Training Accuracy= 0.55000\n",
      "Iter 78000, Minibatch Loss= 1.136221, Training Accuracy= 0.40000\n",
      "Iter 80000, Minibatch Loss= 1.103533, Training Accuracy= 0.60000\n",
      "Iter 82000, Minibatch Loss= 1.087931, Training Accuracy= 0.65000\n",
      "Iter 84000, Minibatch Loss= 1.182249, Training Accuracy= 0.55000\n",
      "Iter 86000, Minibatch Loss= 1.025599, Training Accuracy= 0.75000\n",
      "Iter 88000, Minibatch Loss= 1.412207, Training Accuracy= 0.30000\n",
      "Iter 90000, Minibatch Loss= 1.222993, Training Accuracy= 0.45000\n",
      "Iter 92000, Minibatch Loss= 1.313014, Training Accuracy= 0.50000\n",
      "Iter 94000, Minibatch Loss= 0.918286, Training Accuracy= 0.60000\n",
      "Iter 96000, Minibatch Loss= 1.028222, Training Accuracy= 0.65000\n",
      "Iter 98000, Minibatch Loss= 1.272557, Training Accuracy= 0.25000\n",
      "Optimization Finished!\n",
      "('Testing Accuracy:', 0.44749999)\n"
     ]
    }
   ],
   "source": [
    "# 定义代价函数和最优化方法\n",
    "cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(pred, ytr))\n",
    "optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(cost)\n",
    "\n",
    "# 评估模型准确率\n",
    "correct_pred = tf.equal(tf.argmax(pred, 1), tf.argmax(ytr, 1))\n",
    "accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32))\n",
    "\n",
    "# 定义相似度，即预测值与训练值的距离\n",
    "distance = tf.reduce_sum(tf.abs(tf.add(xtr1, tf.neg(xte1))), reduction_indices=1)  \n",
    "# 预测值: 获取相似度最高的训练标签，作为预测标签\n",
    "pred1 = tf.arg_min(distance, 0)  \n",
    "# 变量初始化\n",
    "init = tf.initialize_all_variables()\n",
    "\n",
    "# 创建会话\n",
    "sess = tf.InteractiveSession()\n",
    "sess.run(init)\n",
    "step = 1\n",
    "    # 一直迭代，直到最大步长\n",
    "while step * batch_size < training_iters:\n",
    "    batch_x, batch_y = next_batch_tr(batch_size)\n",
    "    batch_x = batch_x.reshape((-1, n_steps, n_input))\n",
    "        # 利用最优化方法调整权值\n",
    "    sess.run(optimizer, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "    if step % display_step == 0:\n",
    "            # 计算准确率和损失函数\n",
    "        acc = sess.run(accuracy, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "        loss = sess.run(cost, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "        # 每隔一定步长显示训练准确率和损失率\n",
    "        print(\"Iter \" + str(step * batch_size) + \", Minibatch Loss= \" +\n",
    "                \"{:.6f}\".format(loss) + \", Training Accuracy= \" +\n",
    "                \"{:.5f}\".format(acc))\n",
    "    step += 1\n",
    "print(\"Optimization Finished!\")\n",
    "\n",
    "    # 计算n个预测值的预测准确率\n",
    "test_len = 2000\n",
    "test_data1 = test_data[:test_len].reshape((-1, n_steps, n_input))\n",
    "test_label1 = test_label[:test_len]\n",
    "print(\"Testing Accuracy:\",\n",
    "        sess.run(accuracy, feed_dict={xtr: test_data1, ytr: test_label1}))\n",
    "\n",
    "# for i in range(test_len):  \n",
    "#         # 索引即为相似度最大的标签值\n",
    "#     nn_index = sess.run(pred1, feed_dict={xtr1: Xtr3, xte1: Xte3[i,:]})  \n",
    "#         # 打印出对应的预测标签和实际标签\n",
    "#     print \"Test\", i, \"Prediction:\", np.argmax(train_label[nn_index]), \"True Class:\", np.argmax(test_label1[i])  \n",
    "\n",
    "# print \"Done!\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 作出预测值和真实标签的对比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7fce4b520950>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fce58150b90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGLCAYAAAAVjZKvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n2lWc/Q8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fce3c4e4d50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#!/usr/bin/env python\n",
    "# -*- coding: utf-8 -*-  \n",
    "# 画出对比图，绿色表示实际值，红色表示预测值\n",
    "import numpy as np    \n",
    "import matplotlib.mlab as mlab    \n",
    "import matplotlib.pyplot as plt    \n",
    "# import ch\n",
    "%matplotlib inline\n",
    "\n",
    "# from pylab import *\n",
    "\n",
    "# mpl.rcParams['font.sans-serif'] = ['SimHei']\n",
    "# mpl.rcParams['axes.unicode_minus'] = False\n",
    "Y1=[]\n",
    "for i in range(115,165):\n",
    "    nn_index = sess.run(pred1, feed_dict={xtr1: Xtr3, xte1: Xte3[i,:]})  \n",
    "    Y1.append(2 - np.argmax(train_label[nn_index]))\n",
    "Y2=[]\n",
    "for i in range(115,165):\n",
    "    Y2.append(2 - np.argmax(test_label[i]))\n",
    "\n",
    "Y3 = pd.concat([Series(Y1),Series(Y2)],axis=1)\n",
    "# set_ch()\n",
    "Y3.columns = ['Predict','Real']\n",
    "X=range(115,165)\n",
    "fig = plt.figure()  \n",
    "Y3.plot(color=['red','green'],kind='bar',use_index=False)  \n",
    "#plt.bar(X,Y2,0.4,color=\"red\")  \n",
    "plt.xlabel(\"time/min\")  \n",
    "plt.ylabel(\"Class\")  \n",
    "plt.title(\"Contrast\")  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 进行下一分钟MA5、MA12、MA26、上轨线、下轨线预测的分类（通过调整参数改变预测指标）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 5, 36)"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 取前面10000个数据作为训练集\n",
    "# 前面的数据点因有na值填充，会对准确性造成一定影响，因此从第1000个点开始\n",
    "train1_data = seq_new_5[1000:11000]\n",
    "train1_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3230.1575954099999, 2739.6132079899999)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 统计最大值和最小值，便于划分区间\n",
    "data3 = data[1000:11000]\n",
    "max(data3['boll_down_PRED']),min(data3['boll_down_PRED'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 10)"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train1_label = []\n",
    "for i in data3['boll_down_PRED']:\n",
    "    if i < 2800:\n",
    "        train1_label.append([1,0,0,0,0,0,0,0,0,0])   \n",
    "    elif i < 2850:\n",
    "        train1_label.append([0,1,0,0,0,0,0,0,0,0])   \n",
    "    elif i < 2900: \n",
    "        train1_label.append([0,0,1,0,0,0,0,0,0,0])   \n",
    "    elif i < 2950:\n",
    "        train1_label.append([0,0,0,1,0,0,0,0,0,0])  \n",
    "    elif i < 3000:\n",
    "        train1_label.append([0,0,0,0,1,0,0,0,0,0])   \n",
    "    elif i < 3050:\n",
    "        train1_label.append([0,0,0,0,0,1,0,0,0,0])  \n",
    "    elif i < 3100:\n",
    "        train1_label.append([0,0,0,0,0,0,1,0,0,0])   \n",
    "    elif i < 3150:\n",
    "        train1_label.append([0,0,0,0,0,0,0,1,0,0])  \n",
    "    elif i < 3200:\n",
    "        train1_label.append([0,0,0,0,0,0,0,0,1,0])   \n",
    "    else:\n",
    "        train1_label.append([0,0,0,0,0,0,0,0,0,1])   \n",
    "    \n",
    "train1_label = np.array(train1_label)\n",
    "train1_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "247\n",
      "460\n",
      "1120\n",
      "834\n",
      "1283\n",
      "3082\n",
      "1317\n",
      "565\n",
      "760\n",
      "332\n"
     ]
    }
   ],
   "source": [
    "train1_label_list = train1_label.tolist()\n",
    "print train1_label_list.count([1,0,0,0,0,0,0,0,0,0])  \n",
    "print train1_label_list.count([0,1,0,0,0,0,0,0,0,0]) \n",
    "print train1_label_list.count([0,0,1,0,0,0,0,0,0,0]) \n",
    "print train1_label_list.count([0,0,0,1,0,0,0,0,0,0])\n",
    "print train1_label_list.count([0,0,0,0,1,0,0,0,0,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,1,0,0,0,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,0,1,0,0,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,0,0,1,0,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,0,0,0,1,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,0,0,0,0,1]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2000, 5, 36)"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test1_data = seq_new_5[12000:14000]\n",
    "test1_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2000, 10)"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data4 = data[12000:14000]\n",
    "test1_label = []\n",
    "for i in data4['boll_down_PRED']:\n",
    "    if i < 2800:\n",
    "        test1_label.append([1,0,0,0,0,0,0,0,0,0])   \n",
    "    elif i < 2850:\n",
    "        test1_label.append([0,1,0,0,0,0,0,0,0,0])   \n",
    "    elif i < 2900: \n",
    "        test1_label.append([0,0,1,0,0,0,0,0,0,0])   \n",
    "    elif i < 2950:\n",
    "        test1_label.append([0,0,0,1,0,0,0,0,0,0])  \n",
    "    elif i < 3000:\n",
    "        test1_label.append([0,0,0,0,1,0,0,0,0,0])   \n",
    "    elif i < 3050:\n",
    "        test1_label.append([0,0,0,0,0,1,0,0,0,0])  \n",
    "    elif i < 3100:\n",
    "        test1_label.append([0,0,0,0,0,0,1,0,0,0])   \n",
    "    elif i < 3150:\n",
    "        test1_label.append([0,0,0,0,0,0,0,1,0,0])  \n",
    "    elif i < 3200:\n",
    "        test1_label.append([0,0,0,0,0,0,0,0,1,0])   \n",
    "    else:\n",
    "        test1_label.append([0,0,0,0,0,0,0,0,0,1])   \n",
    "        \n",
    "test1_label = np.array(test1_label)\n",
    "test1_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "0\n",
      "0\n",
      "0\n",
      "0\n",
      "0\n",
      "79\n",
      "373\n",
      "820\n",
      "728\n"
     ]
    }
   ],
   "source": [
    "test1_label_list = test1_label.tolist()\n",
    "# 测试集五类样本的数量\n",
    "print test1_label_list.count([1,0,0,0,0,0,0,0,0,0])  \n",
    "print test1_label_list.count([0,1,0,0,0,0,0,0,0,0]) \n",
    "print test1_label_list.count([0,0,1,0,0,0,0,0,0,0]) \n",
    "print test1_label_list.count([0,0,0,1,0,0,0,0,0,0])\n",
    "print test1_label_list.count([0,0,0,0,1,0,0,0,0,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,1,0,0,0,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,0,1,0,0,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,0,0,1,0,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,0,0,0,1,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,0,0,0,0,1]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "learning_rate = 0.001 # 学习速率\n",
    "training_iters = 100000  # 训练总步长\n",
    "batch_size = 20 # 每小段步长\n",
    "display_step = 100  # 每隔一百小段显示输出\n",
    "\n",
    "# 参数设置\n",
    "n_input = 36 # 特征数量\n",
    "n_steps = 5 # 时间序列长度\n",
    "n_hidden = 500 # 隐藏层神经元个数\n",
    "n_classes = 10 # 分类数量\n",
    "\n",
    "tf.reset_default_graph()  # 重置流图\n",
    "# 设置输入输出格式大小\n",
    "xtr = tf.placeholder(\"float\", [None, n_steps, n_input])\n",
    "ytr = tf.placeholder(\"float\", [None,n_classes])\n",
    "# xte = tf.placeholder(\"float\", [None, n_steps, n_input])\n",
    "# yte = tf.placeholder(\"float\", [None,n_classes])\n",
    "xtr1 = tf.placeholder(\"float\", [None, n_input*n_steps])  \n",
    "xte1 = tf.placeholder(\"float\", [n_input*n_steps])\n",
    "# xte2 = tf.placeholder(\"float\", [None, n_steps, n_input-1])\n",
    "# 定义权重和偏移量\n",
    "weights = {\n",
    "    'out': tf.Variable(tf.random_normal([n_hidden, n_classes]))\n",
    "}\n",
    "biases = {\n",
    "    'out': tf.Variable(tf.random_normal([n_classes]))\n",
    "}\n",
    "\n",
    "# def pred():\n",
    "    \n",
    "def RNN(x, weights, biases):\n",
    "\n",
    "    # 更改数据集的格式，使其满足RNN网络的输入需求\n",
    "    # 现在输入格式: (batch_size, n_steps, n_input)\n",
    "    # 需要的格式: 'n_steps' 个tensor，每个的格式为 (batch_size, n_input)\n",
    "\n",
    "    # 变换batch_size 和 n_steps的位置\n",
    "    x = tf.transpose(x, [1, 0, 2])\n",
    "    # 重新调整格式 (n_steps*batch_size, n_input)\n",
    "    x = tf.reshape(x, [-1, n_input])\n",
    "    # 分割成一系列的 'n_steps' 个tensors，每个的格式为 (batch_size, n_input)\n",
    "    x = tf.split(0, n_steps, x)\n",
    "\n",
    "    # 定义LSTM神经网络结构\n",
    "    lstm_cell = rnn_cell.BasicLSTMCell(n_hidden, forget_bias=1.0)\n",
    "    # 获取输出和状态\n",
    "    outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)\n",
    "    # 返回输出\n",
    "    return tf.matmul(outputs[-1], weights['out']) + biases['out']\n",
    "# 获取预测值\n",
    "pred = RNN(xtr, weights, biases)\n",
    "# train_label = tf.split(0, batch_size, train_label)\n",
    "# 取下一小段的输入\n",
    "def next_batch_tr(batch_size):\n",
    "    step = random.randint(1, len(train1_data)/batch_size)\n",
    "    next_batch_data = train1_data[(step-1)*batch_size:step*batch_size]\n",
    "    next_batch_label = train1_label[(step-1)*batch_size:step*batch_size]   \n",
    "    return next_batch_data, next_batch_label\n",
    "#         return train_data[(step-1)*batch_size:step*batch_size], train_label[(step-1)*batch_size:step*batch_size]\n",
    "# def next_batch_te(step, batch_size):\n",
    "#     return test_data[(step-1)*batch_size:step*batch_size], test_label[(step-1)*batch_size:step*batch_size]\n",
    "\n",
    "Xtr1 = np.reshape(train1_data, newshape=(-1, n_input*n_steps))  \n",
    "Xte1 = np.reshape(test1_data, newshape=(-1, n_input*n_steps)) \n",
    "Xtr2 = map(map, [float, float], Xtr1)\n",
    "Xte2 = map(map, [float, float], Xte1)\n",
    "Xtr3 = np.array(Xtr2)\n",
    "Xte3 = np.array(Xte2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception AssertionError: AssertionError() in <bound method InteractiveSession.__del__ of <tensorflow.python.client.session.InteractiveSession object at 0x7fc1de127190>> ignored\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iter 2000, Minibatch Loss= 0.457351, Training Accuracy= 1.00000\n",
      "Iter 4000, Minibatch Loss= 1.771903, Training Accuracy= 0.50000\n",
      "Iter 6000, Minibatch Loss= 1.304004, Training Accuracy= 0.30000\n",
      "Iter 8000, Minibatch Loss= 0.988512, Training Accuracy= 0.15000\n",
      "Iter 10000, Minibatch Loss= 1.975686, Training Accuracy= 0.00000\n",
      "Iter 12000, Minibatch Loss= 0.148012, Training Accuracy= 1.00000\n",
      "Iter 14000, Minibatch Loss= 0.945994, Training Accuracy= 0.55000\n",
      "Iter 16000, Minibatch Loss= 0.668397, Training Accuracy= 0.75000\n",
      "Iter 18000, Minibatch Loss= 0.206071, Training Accuracy= 1.00000\n",
      "Iter 20000, Minibatch Loss= 0.455516, Training Accuracy= 1.00000\n",
      "Iter 22000, Minibatch Loss= 0.708812, Training Accuracy= 0.70000\n",
      "Iter 24000, Minibatch Loss= 0.375262, Training Accuracy= 1.00000\n",
      "Iter 26000, Minibatch Loss= 0.047513, Training Accuracy= 1.00000\n",
      "Iter 28000, Minibatch Loss= 0.261796, Training Accuracy= 1.00000\n",
      "Iter 30000, Minibatch Loss= 0.688061, Training Accuracy= 0.75000\n",
      "Iter 32000, Minibatch Loss= 0.431707, Training Accuracy= 1.00000\n",
      "Iter 34000, Minibatch Loss= 0.138052, Training Accuracy= 1.00000\n",
      "Iter 36000, Minibatch Loss= 0.345883, Training Accuracy= 1.00000\n",
      "Iter 38000, Minibatch Loss= 0.684142, Training Accuracy= 0.65000\n",
      "Iter 40000, Minibatch Loss= 0.298003, Training Accuracy= 1.00000\n",
      "Iter 42000, Minibatch Loss= 0.372729, Training Accuracy= 1.00000\n",
      "Iter 44000, Minibatch Loss= 0.372382, Training Accuracy= 1.00000\n",
      "Iter 46000, Minibatch Loss= 0.629672, Training Accuracy= 0.60000\n",
      "Iter 48000, Minibatch Loss= 0.500637, Training Accuracy= 1.00000\n",
      "Iter 50000, Minibatch Loss= 0.429008, Training Accuracy= 0.90000\n",
      "Iter 52000, Minibatch Loss= 0.056846, Training Accuracy= 1.00000\n",
      "Iter 54000, Minibatch Loss= 1.121678, Training Accuracy= 0.50000\n",
      "Iter 56000, Minibatch Loss= 0.633999, Training Accuracy= 1.00000\n",
      "Iter 58000, Minibatch Loss= 1.295989, Training Accuracy= 0.05000\n",
      "Iter 60000, Minibatch Loss= 0.340828, Training Accuracy= 0.80000\n",
      "Iter 62000, Minibatch Loss= 0.783738, Training Accuracy= 0.45000\n",
      "Iter 64000, Minibatch Loss= 0.836140, Training Accuracy= 0.75000\n",
      "Iter 66000, Minibatch Loss= 0.603601, Training Accuracy= 0.65000\n",
      "Iter 68000, Minibatch Loss= 0.617447, Training Accuracy= 0.65000\n",
      "Iter 70000, Minibatch Loss= 0.156353, Training Accuracy= 1.00000\n",
      "Iter 72000, Minibatch Loss= 0.396634, Training Accuracy= 0.95000\n",
      "Iter 74000, Minibatch Loss= 0.168209, Training Accuracy= 1.00000\n",
      "Iter 76000, Minibatch Loss= 0.181144, Training Accuracy= 1.00000\n",
      "Iter 78000, Minibatch Loss= 0.103622, Training Accuracy= 1.00000\n",
      "Iter 80000, Minibatch Loss= 0.591570, Training Accuracy= 1.00000\n",
      "Iter 82000, Minibatch Loss= 0.560647, Training Accuracy= 0.80000\n",
      "Iter 84000, Minibatch Loss= 0.585663, Training Accuracy= 0.75000\n",
      "Iter 86000, Minibatch Loss= 0.558475, Training Accuracy= 0.65000\n",
      "Iter 88000, Minibatch Loss= 0.124142, Training Accuracy= 1.00000\n",
      "Iter 90000, Minibatch Loss= 0.554778, Training Accuracy= 0.60000\n",
      "Iter 92000, Minibatch Loss= 0.319227, Training Accuracy= 0.90000\n",
      "Iter 94000, Minibatch Loss= 0.523589, Training Accuracy= 0.65000\n",
      "Iter 96000, Minibatch Loss= 0.652594, Training Accuracy= 0.70000\n",
      "Iter 98000, Minibatch Loss= 0.130993, Training Accuracy= 0.95000\n",
      "Optimization Finished!\n",
      "('Testing Accuracy:', 0.479)\n"
     ]
    }
   ],
   "source": [
    "# 定义代价函数和最优化方法\n",
    "cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(pred, ytr))\n",
    "optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(cost)\n",
    "\n",
    "# 评估模型准确率\n",
    "correct_pred = tf.equal(tf.argmax(pred, 1), tf.argmax(ytr, 1))\n",
    "accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32))\n",
    "\n",
    "# 定义相似度，即预测值与训练值的距离\n",
    "distance = tf.reduce_sum(tf.abs(tf.add(xtr1, tf.neg(xte1))), reduction_indices=1)  \n",
    "# 预测值: 获取相似度最高的训练标签，作为预测标签\n",
    "pred1 = tf.arg_min(distance, 0)  \n",
    "# 变量初始化\n",
    "init = tf.initialize_all_variables()\n",
    "\n",
    "# 创建会话\n",
    "sess = tf.InteractiveSession()\n",
    "sess.run(init)\n",
    "step = 1\n",
    "    # 一直迭代，直到最大步长\n",
    "while step * batch_size < training_iters:\n",
    "    batch_x, batch_y = next_batch_tr(batch_size)\n",
    "    batch_x = batch_x.reshape((-1, n_steps, n_input))\n",
    "        # 利用最优化方法调整权值\n",
    "    sess.run(optimizer, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "    if step % display_step == 0:\n",
    "            # 计算准确率和损失函数\n",
    "        acc = sess.run(accuracy, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "        loss = sess.run(cost, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "        # 每隔一定步长显示训练准确率和损失率\n",
    "        print(\"Iter \" + str(step * batch_size) + \", Minibatch Loss= \" +\n",
    "                \"{:.6f}\".format(loss) + \", Training Accuracy= \" +\n",
    "                \"{:.5f}\".format(acc))\n",
    "    step += 1\n",
    "print(\"Optimization Finished!\")\n",
    "\n",
    "    # 计算n个预测值的预测准确率\n",
    "test_len = 2000\n",
    "test_data1 = test1_data[:test_len].reshape((-1, n_steps, n_input))\n",
    "test_label1 = test1_label[:test_len]\n",
    "print(\"Testing Accuracy:\",\n",
    "        sess.run(accuracy, feed_dict={xtr: test_data1, ytr: test_label1}))\n",
    "\n",
    "# for i in range(test_len):  \n",
    "#         # 索引即为相似度最大的标签值\n",
    "#     nn_index = sess.run(pred1, feed_dict={xtr1: Xtr3, xte1: Xte3[i,:]})  \n",
    "#         # 打印出对应的预测标签和实际标签\n",
    "#     print \"Test\", i, \"Prediction:\", np.argmax(train_label[nn_index]), \"True Class:\", np.argmax(test_label1[i])  \n",
    "\n",
    "# print \"Done!\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 进行趋势持续时间的预测"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "一般的交易选择应当是：若预测到上涨趋势，在开始上涨时建多仓，在即将下跌时平多仓；\n",
    "                   若预测到下跌趋势，在开始下跌时建空仓，在即将上涨时平空仓。\n",
    "同时，大涨趋势和大跌趋势是比较重要的两种趋势，在交易选择时扮演着相当重要的角色。\n",
    "因此我选择根据预测值，从下面四个方面来进行趋势持续时间的准确率验证。\n",
    "1.出现大涨趋势时，涨持时间（下一个出现下一个下跌趋势之前的时间）\n",
    "2.出现小涨趋势时，涨持时间（下一个出现下一个下跌趋势之前的时间）\n",
    "3.出现小跌趋势时，跌持时间（下一个出现下一个下跌趋势之前的时间）\n",
    "4.出现大跌趋势时，跌持时间（下一个出现下一个下跌趋势之前的时间）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test 0 Prediction: 3 True Class: 2\n",
      "Test 1 Prediction: 2 True Class: 2\n",
      "Test 2 Prediction: 3 True Class: 3\n",
      "Test 3 Prediction: 3 True Class: 3\n",
      "Test 4 Prediction: 2 True Class: 3\n",
      "Test 5 Prediction: 3 True Class: 3\n",
      "Test 6 Prediction: 3 True Class: 2\n",
      "Test 7 Prediction: 3 True Class: 1\n",
      "Test 8 Prediction: 1 True Class: 1\n",
      "Test 9 Prediction: 2 True Class: 2\n",
      "Test 10 Prediction: 2 True Class: 2\n",
      "Test 11 Prediction: 2 True Class: 2\n",
      "Test 12 Prediction: 2 True Class: 2\n",
      "Test 13 Prediction: 2 True Class: 2\n",
      "Test 14 Prediction: 2 True Class: 2\n",
      "Test 15 Prediction: 2 True Class: 2\n",
      "Test 16 Prediction: 2 True Class: 1\n",
      "Test 17 Prediction: 3 True Class: 2\n",
      "Test 18 Prediction: 2 True Class: 3\n",
      "Test 19 Prediction: 4 True Class: 3\n",
      "Test 20 Prediction: 3 True Class: 2\n",
      "Test 21 Prediction: 3 True Class: 1\n",
      "Test 22 Prediction: 1 True Class: 2\n",
      "Test 23 Prediction: 3 True Class: 2\n",
      "Test 24 Prediction: 2 True Class: 2\n",
      "Test 25 Prediction: 1 True Class: 2\n",
      "Test 26 Prediction: 1 True Class: 1\n",
      "Test 27 Prediction: 3 True Class: 1\n",
      "Test 28 Prediction: 1 True Class: 2\n",
      "Test 29 Prediction: 2 True Class: 2\n",
      "Test 30 Prediction: 2 True Class: 2\n",
      "Test 31 Prediction: 1 True Class: 2\n",
      "Test 32 Prediction: 2 True Class: 2\n",
      "Test 33 Prediction: 3 True Class: 2\n",
      "Test 34 Prediction: 2 True Class: 2\n",
      "Test 35 Prediction: 2 True Class: 2\n",
      "Test 36 Prediction: 2 True Class: 2\n",
      "Test 37 Prediction: 2 True Class: 2\n",
      "Test 38 Prediction: 2 True Class: 1\n",
      "Test 39 Prediction: 3 True Class: 1\n",
      "Test 40 Prediction: 1 True Class: 2\n",
      "Test 41 Prediction: 2 True Class: 1\n",
      "Test 42 Prediction: 3 True Class: 2\n",
      "Test 43 Prediction: 2 True Class: 2\n",
      "Test 44 Prediction: 2 True Class: 2\n",
      "Test 45 Prediction: 1 True Class: 2\n",
      "Test 46 Prediction: 1 True Class: 1\n",
      "Test 47 Prediction: 2 True Class: 1\n",
      "Test 48 Prediction: 3 True Class: 2\n",
      "Test 49 Prediction: 3 True Class: 2\n",
      "Test 50 Prediction: 3 True Class: 3\n",
      "Test 51 Prediction: 2 True Class: 2\n",
      "Test 52 Prediction: 2 True Class: 2\n",
      "Test 53 Prediction: 3 True Class: 2\n",
      "Test 54 Prediction: 3 True Class: 2\n",
      "Test 55 Prediction: 2 True Class: 2\n",
      "Test 56 Prediction: 2 True Class: 2\n",
      "Test 57 Prediction: 2 True Class: 2\n",
      "Test 58 Prediction: 2 True Class: 2\n",
      "Test 59 Prediction: 2 True Class: 2\n",
      "Test 60 Prediction: 0 True Class: 2\n",
      "Test 61 Prediction: 2 True Class: 2\n",
      "Test 62 Prediction: 2 True Class: 2\n",
      "Test 63 Prediction: 2 True Class: 2\n",
      "Test 64 Prediction: 2 True Class: 3\n",
      "Test 65 Prediction: 2 True Class: 3\n",
      "Test 66 Prediction: 3 True Class: 2\n",
      "Test 67 Prediction: 2 True Class: 3\n",
      "Test 68 Prediction: 1 True Class: 1\n",
      "Test 69 Prediction: 1 True Class: 2\n",
      "Test 70 Prediction: 1 True Class: 2\n",
      "Test 71 Prediction: 3 True Class: 2\n",
      "Test 72 Prediction: 1 True Class: 2\n",
      "Test 73 Prediction: 2 True Class: 2\n",
      "Test 74 Prediction: 2 True Class: 3\n",
      "Test 75 Prediction: 2 True Class: 2\n",
      "Test 76 Prediction: 2 True Class: 2\n",
      "Test 77 Prediction: 2 True Class: 2\n",
      "Test 78 Prediction: 2 True Class: 2\n",
      "Test 79 Prediction: 2 True Class: 1\n",
      "Test 80 Prediction: 2 True Class: 2\n",
      "Test 81 Prediction: 2 True Class: 2\n",
      "Test 82 Prediction: 2 True Class: 2\n",
      "Test 83 Prediction: 2 True Class: 2\n",
      "Test 84 Prediction: 2 True Class: 2\n",
      "Test 85 Prediction: 2 True Class: 1\n",
      "Test 86 Prediction: 2 True Class: 2\n",
      "Test 87 Prediction: 1 True Class: 2\n",
      "Test 88 Prediction: 2 True Class: 2\n",
      "Test 89 Prediction: 1 True Class: 3\n",
      "Test 90 Prediction: 1 True Class: 3\n",
      "Test 91 Prediction: 2 True Class: 3\n",
      "Test 92 Prediction: 2 True Class: 2\n",
      "Test 93 Prediction: 2 True Class: 2\n",
      "Test 94 Prediction: 1 True Class: 2\n",
      "Test 95 Prediction: 2 True Class: 2\n",
      "Test 96 Prediction: 2 True Class: 3\n",
      "Test 97 Prediction: 2 True Class: 2\n",
      "Test 98 Prediction: 2 True Class: 2\n",
      "Test 99 Prediction: 1 True Class: 1\n",
      "Test 100 Prediction: 2 True Class: 2\n",
      "Test 101 Prediction: 2 True Class: 1\n",
      "Test 102 Prediction: 1 True Class: 2\n",
      "Test 103 Prediction: 1 True Class: 2\n",
      "Test 104 Prediction: 2 True Class: 1\n",
      "Test 105 Prediction: 2 True Class: 3\n",
      "Test 106 Prediction: 1 True Class: 2\n",
      "Test 107 Prediction: 1 True Class: 1\n",
      "Test 108 Prediction: 2 True Class: 1\n",
      "Test 109 Prediction: 2 True Class: 3\n",
      "Test 110 Prediction: 2 True Class: 3\n",
      "Test 111 Prediction: 2 True Class: 2\n",
      "Test 112 Prediction: 1 True Class: 3\n",
      "Test 113 Prediction: 2 True Class: 2\n",
      "Test 114 Prediction: 1 True Class: 2\n",
      "Test 115 Prediction: 2 True Class: 3\n",
      "Test 116 Prediction: 3 True Class: 2\n",
      "Test 117 Prediction: 2 True Class: 2\n",
      "Test 118 Prediction: 2 True Class: 3\n",
      "Test 119 Prediction: 2 True Class: 2\n",
      "Test 120 Prediction: 3 True Class: 2\n",
      "Test 121 Prediction: 4 True Class: 3\n",
      "Test 122 Prediction: 2 True Class: 3\n",
      "Test 123 Prediction: 2 True Class: 3\n",
      "Test 124 Prediction: 2 True Class: 3\n",
      "Test 125 Prediction: 2 True Class: 2\n",
      "Test 126 Prediction: 4 True Class: 4\n",
      "Test 127 Prediction: 3 True Class: 3\n",
      "Test 128 Prediction: 3 True Class: 2\n",
      "Test 129 Prediction: 3 True Class: 2\n",
      "Test 130 Prediction: 2 True Class: 2\n",
      "Test 131 Prediction: 4 True Class: 3\n",
      "Test 132 Prediction: 3 True Class: 2\n",
      "Test 133 Prediction: 2 True Class: 2\n",
      "Test 134 Prediction: 3 True Class: 3\n",
      "Test 135 Prediction: 3 True Class: 3\n",
      "Test 136 Prediction: 3 True Class: 2\n",
      "Test 137 Prediction: 3 True Class: 1\n",
      "Test 138 Prediction: 2 True Class: 2\n",
      "Test 139 Prediction: 2 True Class: 2\n",
      "Test 140 Prediction: 1 True Class: 2\n",
      "Test 141 Prediction: 2 True Class: 2\n",
      "Test 142 Prediction: 3 True Class: 1\n",
      "Test 143 Prediction: 3 True Class: 2\n",
      "Test 144 Prediction: 1 True Class: 2\n",
      "Test 145 Prediction: 3 True Class: 2\n",
      "Test 146 Prediction: 1 True Class: 2\n",
      "Test 147 Prediction: 2 True Class: 2\n",
      "Test 148 Prediction: 1 True Class: 1\n",
      "Test 149 Prediction: 1 True Class: 2\n",
      "Test 150 Prediction: 2 True Class: 2\n",
      "Test 151 Prediction: 3 True Class: 2\n",
      "Test 152 Prediction: 3 True Class: 2\n",
      "Test 153 Prediction: 2 True Class: 2\n",
      "Test 154 Prediction: 2 True Class: 2\n",
      "Test 155 Prediction: 2 True Class: 2\n",
      "Test 156 Prediction: 2 True Class: 2\n",
      "Test 157 Prediction: 2 True Class: 1\n",
      "Test 158 Prediction: 1 True Class: 1\n",
      "Test 159 Prediction: 0 True Class: 0\n",
      "Test 160 Prediction: 1 True Class: 1\n",
      "Test 161 Prediction: 3 True Class: 2\n",
      "Test 162 Prediction: 3 True Class: 2\n",
      "Test 163 Prediction: 2 True Class: 2\n",
      "Test 164 Prediction: 1 True Class: 2\n",
      "Test 165 Prediction: 0 True Class: 1\n",
      "Test 166 Prediction: 0 True Class: 2\n",
      "Test 167 Prediction: 1 True Class: 3\n",
      "Test 168 Prediction: 3 True Class: 3\n",
      "Test 169 Prediction: 2 True Class: 2\n",
      "Test 170 Prediction: 3 True Class: 2\n",
      "Test 171 Prediction: 2 True Class: 2\n",
      "Test 172 Prediction: 2 True Class: 3\n",
      "Test 173 Prediction: 2 True Class: 1\n",
      "Test 174 Prediction: 3 True Class: 3\n",
      "Test 175 Prediction: 3 True Class: 2\n",
      "Test 176 Prediction: 3 True Class: 2\n",
      "Test 177 Prediction: 2 True Class: 3\n",
      "Test 178 Prediction: 2 True Class: 2\n",
      "Test 179 Prediction: 2 True Class: 1\n",
      "Test 180 Prediction: 2 True Class: 2\n",
      "Test 181 Prediction: 2 True Class: 1\n",
      "Test 182 Prediction: 2 True Class: 2\n",
      "Test 183 Prediction: 2 True Class: 1\n",
      "Test 184 Prediction: 0 True Class: 1\n",
      "Test 185 Prediction: 2 True Class: 2\n",
      "Test 186 Prediction: 1 True Class: 2\n",
      "Test 187 Prediction: 4 True Class: 2\n",
      "Test 188 Prediction: 1 True Class: 3\n",
      "Test 189 Prediction: 1 True Class: 3\n",
      "Test 190 Prediction: 3 True Class: 2\n",
      "Test 191 Prediction: 2 True Class: 2\n",
      "Test 192 Prediction: 2 True Class: 3\n",
      "Test 193 Prediction: 2 True Class: 2\n",
      "Test 194 Prediction: 2 True Class: 2\n",
      "Test 195 Prediction: 2 True Class: 2\n",
      "Test 196 Prediction: 2 True Class: 2\n",
      "Test 197 Prediction: 3 True Class: 2\n",
      "Test 198 Prediction: 2 True Class: 2\n",
      "Test 199 Prediction: 2 True Class: 2\n",
      "Test 200 Prediction: 2 True Class: 3\n",
      "Test 201 Prediction: 2 True Class: 3\n",
      "Test 202 Prediction: 2 True Class: 2\n",
      "Test 203 Prediction: 2 True Class: 2\n",
      "Test 204 Prediction: 1 True Class: 3\n",
      "Test 205 Prediction: 1 True Class: 2\n",
      "Test 206 Prediction: 2 True Class: 2\n",
      "Test 207 Prediction: 2 True Class: 2\n",
      "Test 208 Prediction: 3 True Class: 2\n",
      "Test 209 Prediction: 2 True Class: 3\n",
      "Test 210 Prediction: 2 True Class: 2\n",
      "Test 211 Prediction: 3 True Class: 2\n",
      "Test 212 Prediction: 2 True Class: 2\n",
      "Test 213 Prediction: 3 True Class: 2\n",
      "Test 214 Prediction: 1 True Class: 2\n",
      "Test 215 Prediction: 3 True Class: 2\n",
      "Test 216 Prediction: 3 True Class: 2\n",
      "Test 217 Prediction: 1 True Class: 2\n",
      "Test 218 Prediction: 1 True Class: 1\n",
      "Test 219 Prediction: 2 True Class: 2\n",
      "Test 220 Prediction: 3 True Class: 2\n",
      "Test 221 Prediction: 3 True Class: 3\n",
      "Test 222 Prediction: 3 True Class: 4\n",
      "Test 223 Prediction: 2 True Class: 3\n",
      "Test 224 Prediction: 3 True Class: 3\n",
      "Test 225 Prediction: 1 True Class: 3\n",
      "Test 226 Prediction: 1 True Class: 1\n",
      "Test 227 Prediction: 1 True Class: 1\n",
      "Test 228 Prediction: 1 True Class: 1\n",
      "Test 229 Prediction: 1 True Class: 2\n",
      "Test 230 Prediction: 2 True Class: 2\n",
      "Test 231 Prediction: 2 True Class: 2\n",
      "Test 232 Prediction: 2 True Class: 1\n",
      "Test 233 Prediction: 1 True Class: 1\n",
      "Test 234 Prediction: 1 True Class: 2\n",
      "Test 235 Prediction: 0 True Class: 0\n",
      "Test 236 Prediction: 2 True Class: 2\n",
      "Test 237 Prediction: 2 True Class: 3\n",
      "Test 238 Prediction: 2 True Class: 3\n",
      "Test 239 Prediction: 2 True Class: 2\n",
      "Test 240 Prediction: 2 True Class: 2\n",
      "Test 241 Prediction: 2 True Class: 1\n",
      "Test 242 Prediction: 2 True Class: 1\n",
      "Test 243 Prediction: 2 True Class: 2\n",
      "Test 244 Prediction: 2 True Class: 3\n",
      "Test 245 Prediction: 2 True Class: 3\n",
      "Test 246 Prediction: 2 True Class: 2\n",
      "Test 247 Prediction: 0 True Class: 1\n",
      "Test 248 Prediction: 0 True Class: 3\n",
      "Test 249 Prediction: 0 True Class: 0\n",
      "Test 250 Prediction: 0 True Class: 1\n",
      "Test 251 Prediction: 2 True Class: 2\n",
      "Test 252 Prediction: 3 True Class: 2\n",
      "Test 253 Prediction: 3 True Class: 2\n",
      "Test 254 Prediction: 1 True Class: 2\n",
      "Test 255 Prediction: 1 True Class: 3\n",
      "Test 256 Prediction: 0 True Class: 1\n",
      "Test 257 Prediction: 2 True Class: 1\n",
      "Test 258 Prediction: 2 True Class: 2\n",
      "Test 259 Prediction: 2 True Class: 3\n",
      "Test 260 Prediction: 2 True Class: 2\n",
      "Test 261 Prediction: 2 True Class: 3\n",
      "Test 262 Prediction: 2 True Class: 2\n",
      "Test 263 Prediction: 2 True Class: 2\n",
      "Test 264 Prediction: 2 True Class: 3\n",
      "Test 265 Prediction: 2 True Class: 2\n",
      "Test 266 Prediction: 2 True Class: 2\n",
      "Test 267 Prediction: 1 True Class: 3\n",
      "Test 268 Prediction: 2 True Class: 2\n",
      "Test 269 Prediction: 1 True Class: 2\n",
      "Test 270 Prediction: 2 True Class: 3\n",
      "Test 271 Prediction: 1 True Class: 2\n",
      "Test 272 Prediction: 2 True Class: 2\n",
      "Test 273 Prediction: 2 True Class: 2\n",
      "Test 274 Prediction: 3 True Class: 2\n",
      "Test 275 Prediction: 3 True Class: 3\n",
      "Test 276 Prediction: 3 True Class: 3\n",
      "Test 277 Prediction: 1 True Class: 2\n",
      "Test 278 Prediction: 2 True Class: 2\n",
      "Test 279 Prediction: 2 True Class: 2\n",
      "Test 280 Prediction: 2 True Class: 1\n",
      "Test 281 Prediction: 2 True Class: 2\n",
      "Test 282 Prediction: 2 True Class: 3\n",
      "Test 283 Prediction: 2 True Class: 3\n",
      "Test 284 Prediction: 2 True Class: 1\n",
      "Test 285 Prediction: 2 True Class: 2\n",
      "Test 286 Prediction: 2 True Class: 2\n",
      "Test 287 Prediction: 2 True Class: 2\n",
      "Test 288 Prediction: 3 True Class: 2\n",
      "Test 289 Prediction: 2 True Class: 2\n",
      "Test 290 Prediction: 2 True Class: 2\n",
      "Test 291 Prediction: 1 True Class: 1\n",
      "Test 292 Prediction: 2 True Class: 2\n",
      "Test 293 Prediction: 2 True Class: 3\n",
      "Test 294 Prediction: 1 True Class: 2\n",
      "Test 295 Prediction: 1 True Class: 2\n",
      "Test 296 Prediction: 1 True Class: 2\n",
      "Test 297 Prediction: 3 True Class: 3\n",
      "Test 298 Prediction: 2 True Class: 2\n",
      "Test 299 Prediction: 3 True Class: 3\n",
      "Test 300 Prediction: 2 True Class: 3\n",
      "Test 301 Prediction: 2 True Class: 2\n",
      "Test 302 Prediction: 1 True Class: 2\n",
      "Test 303 Prediction: 2 True Class: 2\n",
      "Test 304 Prediction: 1 True Class: 2\n",
      "Test 305 Prediction: 3 True Class: 2\n",
      "Test 306 Prediction: 3 True Class: 3\n",
      "Test 307 Prediction: 2 True Class: 3\n",
      "Test 308 Prediction: 2 True Class: 2\n",
      "Test 309 Prediction: 1 True Class: 2\n",
      "Test 310 Prediction: 3 True Class: 2\n",
      "Test 311 Prediction: 2 True Class: 2\n",
      "Test 312 Prediction: 1 True Class: 3\n",
      "Test 313 Prediction: 1 True Class: 3\n",
      "Test 314 Prediction: 1 True Class: 2\n",
      "Test 315 Prediction: 1 True Class: 2\n",
      "Test 316 Prediction: 2 True Class: 2\n",
      "Test 317 Prediction: 2 True Class: 2\n",
      "Test 318 Prediction: 2 True Class: 2\n",
      "Test 319 Prediction: 2 True Class: 2\n",
      "Test 320 Prediction: 2 True Class: 2\n",
      "Test 321 Prediction: 2 True Class: 1\n",
      "Test 322 Prediction: 2 True Class: 3\n",
      "Test 323 Prediction: 2 True Class: 0\n",
      "Test 324 Prediction: 1 True Class: 2\n",
      "Test 325 Prediction: 1 True Class: 3\n",
      "Test 326 Prediction: 1 True Class: 3\n",
      "Test 327 Prediction: 1 True Class: 2\n",
      "Test 328 Prediction: 1 True Class: 1\n",
      "Test 329 Prediction: 2 True Class: 2\n",
      "Test 330 Prediction: 2 True Class: 2\n",
      "Test 331 Prediction: 3 True Class: 3\n",
      "Test 332 Prediction: 2 True Class: 2\n",
      "Test 333 Prediction: 2 True Class: 1\n",
      "Test 334 Prediction: 2 True Class: 1\n",
      "Test 335 Prediction: 2 True Class: 2\n",
      "Test 336 Prediction: 1 True Class: 2\n",
      "Test 337 Prediction: 1 True Class: 2\n",
      "Test 338 Prediction: 1 True Class: 1\n",
      "Test 339 Prediction: 3 True Class: 2\n",
      "Test 340 Prediction: 3 True Class: 2\n",
      "Test 341 Prediction: 2 True Class: 2\n",
      "Test 342 Prediction: 2 True Class: 2\n",
      "Test 343 Prediction: 1 True Class: 1\n",
      "Test 344 Prediction: 1 True Class: 1\n",
      "Test 345 Prediction: 2 True Class: 2\n",
      "Test 346 Prediction: 3 True Class: 1\n",
      "Test 347 Prediction: 3 True Class: 2\n",
      "Test 348 Prediction: 2 True Class: 2\n",
      "Test 349 Prediction: 2 True Class: 2\n",
      "Test 350 Prediction: 2 True Class: 2\n",
      "Test 351 Prediction: 2 True Class: 3\n",
      "Test 352 Prediction: 2 True Class: 1\n",
      "Test 353 Prediction: 2 True Class: 3\n",
      "Test 354 Prediction: 2 True Class: 2\n",
      "Test 355 Prediction: 1 True Class: 2\n",
      "Test 356 Prediction: 2 True Class: 2\n",
      "Test 357 Prediction: 2 True Class: 2\n",
      "Test 358 Prediction: 1 True Class: 1\n",
      "Test 359 Prediction: 2 True Class: 2\n",
      "Test 360 Prediction: 3 True Class: 3\n",
      "Test 361 Prediction: 2 True Class: 2\n",
      "Test 362 Prediction: 2 True Class: 2\n",
      "Test 363 Prediction: 1 True Class: 3\n",
      "Test 364 Prediction: 3 True Class: 3\n",
      "Test 365 Prediction: 2 True Class: 2\n",
      "Test 366 Prediction: 2 True Class: 2\n",
      "Test 367 Prediction: 2 True Class: 2\n",
      "Test 368 Prediction: 2 True Class: 2\n",
      "Test 369 Prediction: 2 True Class: 2\n",
      "Test 370 Prediction: 2 True Class: 2\n",
      "Test 371 Prediction: 2 True Class: 1\n",
      "Test 372 Prediction: 2 True Class: 1\n",
      "Test 373 Prediction: 1 True Class: 1\n",
      "Test 374 Prediction: 1 True Class: 2\n",
      "Test 375 Prediction: 2 True Class: 2\n",
      "Test 376 Prediction: 2 True Class: 1\n",
      "Test 377 Prediction: 3 True Class: 2\n",
      "Test 378 Prediction: 3 True Class: 2\n",
      "Test 379 Prediction: 3 True Class: 3\n",
      "Test 380 Prediction: 2 True Class: 2\n",
      "Test 381 Prediction: 2 True Class: 2\n",
      "Test 382 Prediction: 1 True Class: 2\n",
      "Test 383 Prediction: 1 True Class: 2\n",
      "Test 384 Prediction: 2 True Class: 2\n",
      "Test 385 Prediction: 0 True Class: 1\n",
      "Test 386 Prediction: 0 True Class: 2\n",
      "Test 387 Prediction: 2 True Class: 2\n",
      "Test 388 Prediction: 2 True Class: 2\n",
      "Test 389 Prediction: 2 True Class: 2\n",
      "Test 390 Prediction: 0 True Class: 1\n",
      "Test 391 Prediction: 2 True Class: 1\n",
      "Test 392 Prediction: 2 True Class: 2\n",
      "Test 393 Prediction: 3 True Class: 2\n",
      "Test 394 Prediction: 2 True Class: 2\n",
      "Test 395 Prediction: 2 True Class: 2\n",
      "Test 396 Prediction: 3 True Class: 2\n",
      "Test 397 Prediction: 3 True Class: 2\n",
      "Test 398 Prediction: 3 True Class: 2\n",
      "Test 399 Prediction: 2 True Class: 2\n",
      "Test 400 Prediction: 2 True Class: 2\n",
      "Test 401 Prediction: 2 True Class: 2\n",
      "Test 402 Prediction: 2 True Class: 3\n",
      "Test 403 Prediction: 3 True Class: 2\n",
      "Test 404 Prediction: 3 True Class: 2\n",
      "Test 405 Prediction: 2 True Class: 2\n",
      "Test 406 Prediction: 2 True Class: 1\n",
      "Test 407 Prediction: 2 True Class: 1\n",
      "Test 408 Prediction: 1 True Class: 1\n",
      "Test 409 Prediction: 1 True Class: 1\n",
      "Test 410 Prediction: 1 True Class: 1\n",
      "Test 411 Prediction: 1 True Class: 2\n",
      "Test 412 Prediction: 3 True Class: 2\n",
      "Test 413 Prediction: 2 True Class: 2\n",
      "Test 414 Prediction: 2 True Class: 3\n",
      "Test 415 Prediction: 1 True Class: 2\n",
      "Test 416 Prediction: 2 True Class: 2\n",
      "Test 417 Prediction: 2 True Class: 1\n",
      "Test 418 Prediction: 2 True Class: 1\n",
      "Test 419 Prediction: 2 True Class: 2\n",
      "Test 420 Prediction: 2 True Class: 2\n",
      "Test 421 Prediction: 2 True Class: 2\n",
      "Test 422 Prediction: 2 True Class: 1\n",
      "Test 423 Prediction: 2 True Class: 2\n",
      "Test 424 Prediction: 2 True Class: 2\n",
      "Test 425 Prediction: 3 True Class: 1\n",
      "Test 426 Prediction: 1 True Class: 1\n",
      "Test 427 Prediction: 0 True Class: 1\n",
      "Test 428 Prediction: 0 True Class: 1\n",
      "Test 429 Prediction: 2 True Class: 2\n",
      "Test 430 Prediction: 3 True Class: 3\n",
      "Test 431 Prediction: 2 True Class: 2\n",
      "Test 432 Prediction: 2 True Class: 2\n",
      "Test 433 Prediction: 2 True Class: 3\n",
      "Test 434 Prediction: 2 True Class: 2\n",
      "Test 435 Prediction: 2 True Class: 2\n",
      "Test 436 Prediction: 2 True Class: 1\n",
      "Test 437 Prediction: 3 True Class: 2\n",
      "Test 438 Prediction: 2 True Class: 3\n",
      "Test 439 Prediction: 2 True Class: 3\n",
      "Test 440 Prediction: 2 True Class: 2\n",
      "Test 441 Prediction: 2 True Class: 2\n",
      "Test 442 Prediction: 2 True Class: 2\n",
      "Test 443 Prediction: 2 True Class: 2\n",
      "Test 444 Prediction: 2 True Class: 1\n",
      "Test 445 Prediction: 2 True Class: 1\n",
      "Test 446 Prediction: 3 True Class: 2\n",
      "Test 447 Prediction: 1 True Class: 1\n",
      "Test 448 Prediction: 1 True Class: 1\n",
      "Test 449 Prediction: 2 True Class: 2\n",
      "Test 450 Prediction: 2 True Class: 2\n",
      "Test 451 Prediction: 2 True Class: 2\n",
      "Test 452 Prediction: 2 True Class: 2\n",
      "Test 453 Prediction: 2 True Class: 2\n",
      "Test 454 Prediction: 1 True Class: 0\n",
      "Test 455 Prediction: 1 True Class: 3\n",
      "Test 456 Prediction: 2 True Class: 3\n",
      "Test 457 Prediction: 2 True Class: 2\n",
      "Test 458 Prediction: 3 True Class: 2\n",
      "Test 459 Prediction: 3 True Class: 2\n",
      "Test 460 Prediction: 3 True Class: 2\n",
      "Test 461 Prediction: 2 True Class: 2\n",
      "Test 462 Prediction: 2 True Class: 2\n",
      "Test 463 Prediction: 2 True Class: 2\n",
      "Test 464 Prediction: 2 True Class: 3\n",
      "Test 465 Prediction: 2 True Class: 3\n",
      "Test 466 Prediction: 2 True Class: 2\n",
      "Test 467 Prediction: 2 True Class: 1\n",
      "Test 468 Prediction: 2 True Class: 2\n",
      "Test 469 Prediction: 2 True Class: 2\n",
      "Test 470 Prediction: 2 True Class: 2\n",
      "Test 471 Prediction: 1 True Class: 1\n",
      "Test 472 Prediction: 1 True Class: 1\n",
      "Test 473 Prediction: 2 True Class: 1\n",
      "Test 474 Prediction: 2 True Class: 2\n",
      "Test 475 Prediction: 3 True Class: 1\n",
      "Test 476 Prediction: 3 True Class: 2\n",
      "Test 477 Prediction: 2 True Class: 3\n",
      "Test 478 Prediction: 2 True Class: 2\n",
      "Test 479 Prediction: 2 True Class: 2\n",
      "Test 480 Prediction: 2 True Class: 2\n",
      "Test 481 Prediction: 2 True Class: 3\n",
      "Test 482 Prediction: 2 True Class: 3\n",
      "Test 483 Prediction: 2 True Class: 3\n",
      "Test 484 Prediction: 2 True Class: 3\n",
      "Test 485 Prediction: 2 True Class: 1\n",
      "Test 486 Prediction: 2 True Class: 2\n",
      "Test 487 Prediction: 2 True Class: 2\n",
      "Test 488 Prediction: 2 True Class: 2\n",
      "Test 489 Prediction: 2 True Class: 2\n",
      "Test 490 Prediction: 2 True Class: 2\n",
      "Test 491 Prediction: 2 True Class: 2\n",
      "Test 492 Prediction: 2 True Class: 1\n",
      "Test 493 Prediction: 2 True Class: 2\n",
      "Test 494 Prediction: 2 True Class: 2\n",
      "Test 495 Prediction: 2 True Class: 2\n",
      "Test 496 Prediction: 2 True Class: 2\n",
      "Test 497 Prediction: 2 True Class: 2\n",
      "Test 498 Prediction: 2 True Class: 3\n",
      "Test 499 Prediction: 2 True Class: 2\n",
      "Test 500 Prediction: 2 True Class: 2\n",
      "Test 501 Prediction: 2 True Class: 2\n",
      "Test 502 Prediction: 2 True Class: 2\n",
      "Test 503 Prediction: 2 True Class: 2\n",
      "Test 504 Prediction: 2 True Class: 2\n",
      "Test 505 Prediction: 2 True Class: 2\n",
      "Test 506 Prediction: 2 True Class: 3\n",
      "Test 507 Prediction: 2 True Class: 2\n",
      "Test 508 Prediction: 2 True Class: 2\n",
      "Test 509 Prediction: 2 True Class: 1\n",
      "Test 510 Prediction: 2 True Class: 1\n",
      "Test 511 Prediction: 2 True Class: 2\n",
      "Test 512 Prediction: 2 True Class: 2\n",
      "Test 513 Prediction: 1 True Class: 2\n",
      "Test 514 Prediction: 2 True Class: 2\n",
      "Test 515 Prediction: 2 True Class: 2\n",
      "Test 516 Prediction: 2 True Class: 2\n",
      "Test 517 Prediction: 1 True Class: 2\n",
      "Test 518 Prediction: 2 True Class: 2\n",
      "Test 519 Prediction: 2 True Class: 2\n",
      "Test 520 Prediction: 2 True Class: 2\n",
      "Test 521 Prediction: 2 True Class: 2\n",
      "Test 522 Prediction: 2 True Class: 3\n",
      "Test 523 Prediction: 2 True Class: 1\n",
      "Test 524 Prediction: 3 True Class: 3\n",
      "Test 525 Prediction: 2 True Class: 2\n",
      "Test 526 Prediction: 2 True Class: 2\n",
      "Test 527 Prediction: 1 True Class: 2\n",
      "Test 528 Prediction: 2 True Class: 2\n",
      "Test 529 Prediction: 2 True Class: 2\n",
      "Test 530 Prediction: 2 True Class: 3\n",
      "Test 531 Prediction: 2 True Class: 3\n",
      "Test 532 Prediction: 2 True Class: 2\n",
      "Test 533 Prediction: 1 True Class: 2\n",
      "Test 534 Prediction: 2 True Class: 2\n",
      "Test 535 Prediction: 2 True Class: 2\n",
      "Test 536 Prediction: 0 True Class: 3\n",
      "Test 537 Prediction: 1 True Class: 3\n",
      "Test 538 Prediction: 1 True Class: 1\n",
      "Test 539 Prediction: 3 True Class: 1\n",
      "Test 540 Prediction: 2 True Class: 2\n",
      "Test 541 Prediction: 2 True Class: 2\n",
      "Test 542 Prediction: 2 True Class: 2\n",
      "Test 543 Prediction: 2 True Class: 2\n",
      "Test 544 Prediction: 2 True Class: 2\n",
      "Test 545 Prediction: 2 True Class: 2\n",
      "Test 546 Prediction: 2 True Class: 3\n",
      "Test 547 Prediction: 3 True Class: 3\n",
      "Test 548 Prediction: 2 True Class: 2\n",
      "Test 549 Prediction: 2 True Class: 2\n",
      "Test 550 Prediction: 2 True Class: 2\n",
      "Test 551 Prediction: 3 True Class: 1\n",
      "Test 552 Prediction: 1 True Class: 1\n",
      "Test 553 Prediction: 1 True Class: 1\n",
      "Test 554 Prediction: 1 True Class: 2\n",
      "Test 555 Prediction: 2 True Class: 2\n",
      "Test 556 Prediction: 2 True Class: 2\n",
      "Test 557 Prediction: 2 True Class: 2\n",
      "Test 558 Prediction: 3 True Class: 2\n",
      "Test 559 Prediction: 3 True Class: 2\n",
      "Test 560 Prediction: 1 True Class: 1\n",
      "Test 561 Prediction: 1 True Class: 1\n",
      "Test 562 Prediction: 2 True Class: 2\n",
      "Test 563 Prediction: 2 True Class: 2\n",
      "Test 564 Prediction: 2 True Class: 2\n",
      "Test 565 Prediction: 3 True Class: 2\n",
      "Test 566 Prediction: 1 True Class: 2\n",
      "Test 567 Prediction: 3 True Class: 3\n",
      "Test 568 Prediction: 3 True Class: 2\n",
      "Test 569 Prediction: 2 True Class: 2\n",
      "Test 570 Prediction: 2 True Class: 2\n",
      "Test 571 Prediction: 2 True Class: 2\n",
      "Test 572 Prediction: 2 True Class: 2\n",
      "Test 573 Prediction: 2 True Class: 2\n",
      "Test 574 Prediction: 2 True Class: 1\n",
      "Test 575 Prediction: 2 True Class: 2\n",
      "Test 576 Prediction: 2 True Class: 2\n",
      "Test 577 Prediction: 2 True Class: 1\n",
      "Test 578 Prediction: 2 True Class: 2\n",
      "Test 579 Prediction: 2 True Class: 2\n",
      "Test 580 Prediction: 2 True Class: 2\n",
      "Test 581 Prediction: 3 True Class: 2\n",
      "Test 582 Prediction: 3 True Class: 2\n",
      "Test 583 Prediction: 3 True Class: 2\n",
      "Test 584 Prediction: 3 True Class: 2\n",
      "Test 585 Prediction: 2 True Class: 1\n",
      "Test 586 Prediction: 2 True Class: 1\n",
      "Test 587 Prediction: 2 True Class: 2\n",
      "Test 588 Prediction: 2 True Class: 2\n",
      "Test 589 Prediction: 2 True Class: 2\n",
      "Test 590 Prediction: 1 True Class: 2\n",
      "Test 591 Prediction: 1 True Class: 2\n",
      "Test 592 Prediction: 1 True Class: 2\n",
      "Test 593 Prediction: 1 True Class: 2\n",
      "Test 594 Prediction: 3 True Class: 3\n",
      "Test 595 Prediction: 3 True Class: 2\n",
      "Test 596 Prediction: 3 True Class: 3\n",
      "Test 597 Prediction: 2 True Class: 2\n",
      "Test 598 Prediction: 2 True Class: 2\n",
      "Test 599 Prediction: 2 True Class: 2\n",
      "Test 600 Prediction: 2 True Class: 3\n",
      "Test 601 Prediction: 3 True Class: 3\n",
      "Test 602 Prediction: 3 True Class: 2\n",
      "Test 603 Prediction: 2 True Class: 2\n",
      "Test 604 Prediction: 2 True Class: 2\n",
      "Test 605 Prediction: 2 True Class: 2\n",
      "Test 606 Prediction: 2 True Class: 2\n",
      "Test 607 Prediction: 2 True Class: 2\n",
      "Test 608 Prediction: 2 True Class: 1\n",
      "Test 609 Prediction: 2 True Class: 2\n",
      "Test 610 Prediction: 2 True Class: 2\n",
      "Test 611 Prediction: 2 True Class: 2\n",
      "Test 612 Prediction: 3 True Class: 3\n",
      "Test 613 Prediction: 3 True Class: 2\n",
      "Test 614 Prediction: 2 True Class: 2\n",
      "Test 615 Prediction: 2 True Class: 2\n",
      "Test 616 Prediction: 1 True Class: 2\n",
      "Test 617 Prediction: 2 True Class: 1\n",
      "Test 618 Prediction: 2 True Class: 2\n",
      "Test 619 Prediction: 2 True Class: 2\n",
      "Test 620 Prediction: 2 True Class: 2\n",
      "Test 621 Prediction: 2 True Class: 2\n",
      "Test 622 Prediction: 2 True Class: 2\n",
      "Test 623 Prediction: 2 True Class: 2\n",
      "Test 624 Prediction: 2 True Class: 1\n",
      "Test 625 Prediction: 2 True Class: 1\n",
      "Test 626 Prediction: 2 True Class: 2\n",
      "Test 627 Prediction: 2 True Class: 2\n",
      "Test 628 Prediction: 2 True Class: 2\n",
      "Test 629 Prediction: 2 True Class: 2\n",
      "Test 630 Prediction: 3 True Class: 3\n",
      "Test 631 Prediction: 3 True Class: 3\n",
      "Test 632 Prediction: 4 True Class: 3\n",
      "Test 633 Prediction: 3 True Class: 2\n",
      "Test 634 Prediction: 3 True Class: 2\n",
      "Test 635 Prediction: 2 True Class: 2\n",
      "Test 636 Prediction: 2 True Class: 2\n",
      "Test 637 Prediction: 2 True Class: 3\n",
      "Test 638 Prediction: 1 True Class: 1\n",
      "Test 639 Prediction: 3 True Class: 3\n",
      "Test 640 Prediction: 2 True Class: 2\n",
      "Test 641 Prediction: 3 True Class: 2\n",
      "Test 642 Prediction: 2 True Class: 2\n",
      "Test 643 Prediction: 1 True Class: 1\n",
      "Test 644 Prediction: 1 True Class: 2\n",
      "Test 645 Prediction: 1 True Class: 2\n",
      "Test 646 Prediction: 2 True Class: 2\n",
      "Test 647 Prediction: 2 True Class: 2\n",
      "Test 648 Prediction: 2 True Class: 2\n",
      "Test 649 Prediction: 2 True Class: 2\n",
      "Test 650 Prediction: 2 True Class: 2\n",
      "Test 651 Prediction: 2 True Class: 2\n",
      "Test 652 Prediction: 2 True Class: 3\n",
      "Test 653 Prediction: 1 True Class: 2\n",
      "Test 654 Prediction: 2 True Class: 2\n",
      "Test 655 Prediction: 2 True Class: 2\n",
      "Test 656 Prediction: 2 True Class: 1\n",
      "Test 657 Prediction: 3 True Class: 1\n",
      "Test 658 Prediction: 1 True Class: 1\n",
      "Test 659 Prediction: 2 True Class: 1\n",
      "Test 660 Prediction: 2 True Class: 2\n",
      "Test 661 Prediction: 3 True Class: 2\n",
      "Test 662 Prediction: 1 True Class: 1\n",
      "Test 663 Prediction: 1 True Class: 2\n",
      "Test 664 Prediction: 2 True Class: 2\n",
      "Test 665 Prediction: 2 True Class: 2\n",
      "Test 666 Prediction: 2 True Class: 3\n",
      "Test 667 Prediction: 3 True Class: 3\n",
      "Test 668 Prediction: 2 True Class: 2\n",
      "Test 669 Prediction: 2 True Class: 2\n",
      "Test 670 Prediction: 1 True Class: 2\n",
      "Test 671 Prediction: 2 True Class: 2\n",
      "Test 672 Prediction: 2 True Class: 2\n",
      "Test 673 Prediction: 4 True Class: 2\n",
      "Test 674 Prediction: 2 True Class: 2\n",
      "Test 675 Prediction: 2 True Class: 2\n",
      "Test 676 Prediction: 2 True Class: 2\n",
      "Test 677 Prediction: 2 True Class: 2\n",
      "Test 678 Prediction: 2 True Class: 3\n",
      "Test 679 Prediction: 2 True Class: 2\n",
      "Test 680 Prediction: 2 True Class: 3\n",
      "Test 681 Prediction: 2 True Class: 2\n",
      "Test 682 Prediction: 2 True Class: 2\n",
      "Test 683 Prediction: 1 True Class: 2\n",
      "Test 684 Prediction: 2 True Class: 3\n",
      "Test 685 Prediction: 2 True Class: 3\n",
      "Test 686 Prediction: 2 True Class: 3\n",
      "Test 687 Prediction: 1 True Class: 3\n",
      "Test 688 Prediction: 2 True Class: 2\n",
      "Test 689 Prediction: 3 True Class: 2\n",
      "Test 690 Prediction: 3 True Class: 2\n",
      "Test 691 Prediction: 2 True Class: 3\n",
      "Test 692 Prediction: 2 True Class: 2\n",
      "Test 693 Prediction: 2 True Class: 2\n",
      "Test 694 Prediction: 2 True Class: 2\n",
      "Test 695 Prediction: 2 True Class: 1\n",
      "Test 696 Prediction: 2 True Class: 2\n",
      "Test 697 Prediction: 2 True Class: 2\n",
      "Test 698 Prediction: 2 True Class: 2\n",
      "Test 699 Prediction: 2 True Class: 2\n",
      "Test 700 Prediction: 2 True Class: 2\n",
      "Test 701 Prediction: 2 True Class: 2\n",
      "Test 702 Prediction: 3 True Class: 4\n",
      "Test 703 Prediction: 2 True Class: 1\n",
      "Test 704 Prediction: 2 True Class: 3\n",
      "Test 705 Prediction: 3 True Class: 2\n",
      "Test 706 Prediction: 3 True Class: 3\n",
      "Test 707 Prediction: 3 True Class: 1\n",
      "Test 708 Prediction: 2 True Class: 1\n",
      "Test 709 Prediction: 2 True Class: 2\n",
      "Test 710 Prediction: 2 True Class: 2\n",
      "Test 711 Prediction: 2 True Class: 1\n",
      "Test 712 Prediction: 2 True Class: 1\n",
      "Test 713 Prediction: 2 True Class: 2\n",
      "Test 714 Prediction: 2 True Class: 3\n",
      "Test 715 Prediction: 2 True Class: 2\n",
      "Test 716 Prediction: 2 True Class: 2\n",
      "Test 717 Prediction: 2 True Class: 2\n",
      "Test 718 Prediction: 2 True Class: 2\n",
      "Test 719 Prediction: 3 True Class: 2\n",
      "Test 720 Prediction: 3 True Class: 3\n",
      "Test 721 Prediction: 3 True Class: 3\n",
      "Test 722 Prediction: 3 True Class: 2\n",
      "Test 723 Prediction: 3 True Class: 1\n",
      "Test 724 Prediction: 2 True Class: 2\n",
      "Test 725 Prediction: 2 True Class: 3\n",
      "Test 726 Prediction: 2 True Class: 1\n",
      "Test 727 Prediction: 1 True Class: 3\n",
      "Test 728 Prediction: 1 True Class: 2\n",
      "Test 729 Prediction: 2 True Class: 2\n",
      "Test 730 Prediction: 2 True Class: 2\n",
      "Test 731 Prediction: 1 True Class: 2\n",
      "Test 732 Prediction: 2 True Class: 2\n",
      "Test 733 Prediction: 2 True Class: 2\n",
      "Test 734 Prediction: 2 True Class: 2\n",
      "Test 735 Prediction: 1 True Class: 3\n",
      "Test 736 Prediction: 2 True Class: 2\n",
      "Test 737 Prediction: 2 True Class: 1\n",
      "Test 738 Prediction: 1 True Class: 1\n",
      "Test 739 Prediction: 1 True Class: 2\n",
      "Test 740 Prediction: 2 True Class: 1\n",
      "Test 741 Prediction: 1 True Class: 2\n",
      "Test 742 Prediction: 2 True Class: 2\n",
      "Test 743 Prediction: 2 True Class: 2\n",
      "Test 744 Prediction: 2 True Class: 2\n",
      "Test 745 Prediction: 2 True Class: 2\n",
      "Test 746 Prediction: 2 True Class: 2\n",
      "Test 747 Prediction: 2 True Class: 2\n",
      "Test 748 Prediction: 2 True Class: 2\n",
      "Test 749 Prediction: 1 True Class: 1\n",
      "Test 750 Prediction: 2 True Class: 3\n",
      "Test 751 Prediction: 2 True Class: 1\n",
      "Test 752 Prediction: 2 True Class: 2\n",
      "Test 753 Prediction: 2 True Class: 3\n",
      "Test 754 Prediction: 2 True Class: 1\n",
      "Test 755 Prediction: 1 True Class: 3\n",
      "Test 756 Prediction: 3 True Class: 3\n",
      "Test 757 Prediction: 1 True Class: 3\n",
      "Test 758 Prediction: 1 True Class: 2\n",
      "Test 759 Prediction: 1 True Class: 2\n",
      "Test 760 Prediction: 1 True Class: 2\n",
      "Test 761 Prediction: 1 True Class: 3\n",
      "Test 762 Prediction: 1 True Class: 1\n",
      "Test 763 Prediction: 1 True Class: 3\n",
      "Test 764 Prediction: 1 True Class: 2\n",
      "Test 765 Prediction: 1 True Class: 2\n",
      "Test 766 Prediction: 3 True Class: 2\n",
      "Test 767 Prediction: 3 True Class: 3\n",
      "Test 768 Prediction: 3 True Class: 2\n",
      "Test 769 Prediction: 2 True Class: 1\n",
      "Test 770 Prediction: 2 True Class: 1\n",
      "Test 771 Prediction: 2 True Class: 2\n",
      "Test 772 Prediction: 2 True Class: 2\n",
      "Test 773 Prediction: 2 True Class: 1\n",
      "Test 774 Prediction: 2 True Class: 3\n",
      "Test 775 Prediction: 1 True Class: 4\n",
      "Test 776 Prediction: 2 True Class: 1\n",
      "Test 777 Prediction: 2 True Class: 3\n",
      "Test 778 Prediction: 2 True Class: 3\n",
      "Test 779 Prediction: 2 True Class: 3\n",
      "Test 780 Prediction: 3 True Class: 2\n",
      "Test 781 Prediction: 3 True Class: 2\n",
      "Test 782 Prediction: 2 True Class: 2\n",
      "Test 783 Prediction: 4 True Class: 3\n",
      "Test 784 Prediction: 3 True Class: 3\n",
      "Test 785 Prediction: 1 True Class: 1\n",
      "Test 786 Prediction: 2 True Class: 1\n",
      "Test 787 Prediction: 2 True Class: 1\n",
      "Test 788 Prediction: 2 True Class: 1\n",
      "Test 789 Prediction: 2 True Class: 2\n",
      "Test 790 Prediction: 2 True Class: 2\n",
      "Test 791 Prediction: 2 True Class: 1\n",
      "Test 792 Prediction: 2 True Class: 2\n",
      "Test 793 Prediction: 2 True Class: 2\n",
      "Test 794 Prediction: 2 True Class: 2\n",
      "Test 795 Prediction: 2 True Class: 2\n",
      "Test 796 Prediction: 2 True Class: 2\n",
      "Test 797 Prediction: 2 True Class: 2\n",
      "Test 798 Prediction: 2 True Class: 2\n",
      "Test 799 Prediction: 2 True Class: 2\n",
      "Test 800 Prediction: 2 True Class: 1\n",
      "Test 801 Prediction: 2 True Class: 2\n",
      "Test 802 Prediction: 3 True Class: 2\n",
      "Test 803 Prediction: 2 True Class: 2\n",
      "Test 804 Prediction: 1 True Class: 2\n",
      "Test 805 Prediction: 1 True Class: 2\n",
      "Test 806 Prediction: 3 True Class: 3\n",
      "Test 807 Prediction: 2 True Class: 2\n",
      "Test 808 Prediction: 1 True Class: 1\n",
      "Test 809 Prediction: 2 True Class: 3\n",
      "Test 810 Prediction: 0 True Class: 0\n",
      "Test 811 Prediction: 2 True Class: 2\n",
      "Test 812 Prediction: 2 True Class: 3\n",
      "Test 813 Prediction: 3 True Class: 2\n",
      "Test 814 Prediction: 2 True Class: 3\n",
      "Test 815 Prediction: 2 True Class: 1\n",
      "Test 816 Prediction: 2 True Class: 2\n",
      "Test 817 Prediction: 2 True Class: 3\n",
      "Test 818 Prediction: 2 True Class: 3\n",
      "Test 819 Prediction: 2 True Class: 2\n",
      "Test 820 Prediction: 2 True Class: 0\n",
      "Test 821 Prediction: 0 True Class: 0\n",
      "Test 822 Prediction: 1 True Class: 1\n",
      "Test 823 Prediction: 3 True Class: 3\n",
      "Test 824 Prediction: 3 True Class: 2\n",
      "Test 825 Prediction: 2 True Class: 2\n",
      "Test 826 Prediction: 2 True Class: 2\n",
      "Test 827 Prediction: 1 True Class: 2\n",
      "Test 828 Prediction: 3 True Class: 3\n",
      "Test 829 Prediction: 3 True Class: 3\n",
      "Test 830 Prediction: 2 True Class: 2\n",
      "Test 831 Prediction: 3 True Class: 1\n",
      "Test 832 Prediction: 2 True Class: 2\n",
      "Test 833 Prediction: 2 True Class: 3\n",
      "Test 834 Prediction: 2 True Class: 1\n",
      "Test 835 Prediction: 0 True Class: 0\n",
      "Test 836 Prediction: 2 True Class: 3\n",
      "Test 837 Prediction: 2 True Class: 0\n",
      "Test 838 Prediction: 2 True Class: 3\n",
      "Test 839 Prediction: 2 True Class: 3\n",
      "Test 840 Prediction: 2 True Class: 2\n",
      "Test 841 Prediction: 2 True Class: 2\n",
      "Test 842 Prediction: 2 True Class: 3\n",
      "Test 843 Prediction: 2 True Class: 2\n",
      "Test 844 Prediction: 2 True Class: 1\n",
      "Test 845 Prediction: 2 True Class: 1\n",
      "Test 846 Prediction: 2 True Class: 2\n",
      "Test 847 Prediction: 3 True Class: 3\n",
      "Test 848 Prediction: 2 True Class: 1\n",
      "Test 849 Prediction: 3 True Class: 3\n",
      "Test 850 Prediction: 2 True Class: 3\n",
      "Test 851 Prediction: 2 True Class: 2\n",
      "Test 852 Prediction: 2 True Class: 3\n",
      "Test 853 Prediction: 2 True Class: 2\n",
      "Test 854 Prediction: 2 True Class: 2\n",
      "Test 855 Prediction: 2 True Class: 2\n",
      "Test 856 Prediction: 2 True Class: 2\n",
      "Test 857 Prediction: 2 True Class: 1\n",
      "Test 858 Prediction: 2 True Class: 1\n",
      "Test 859 Prediction: 1 True Class: 1\n",
      "Test 860 Prediction: 3 True Class: 2\n",
      "Test 861 Prediction: 2 True Class: 2\n",
      "Test 862 Prediction: 3 True Class: 2\n",
      "Test 863 Prediction: 1 True Class: 1\n",
      "Test 864 Prediction: 2 True Class: 1\n",
      "Test 865 Prediction: 2 True Class: 2\n",
      "Test 866 Prediction: 2 True Class: 3\n",
      "Test 867 Prediction: 2 True Class: 2\n",
      "Test 868 Prediction: 2 True Class: 2\n",
      "Test 869 Prediction: 2 True Class: 2\n",
      "Test 870 Prediction: 2 True Class: 2\n",
      "Test 871 Prediction: 2 True Class: 2\n",
      "Test 872 Prediction: 2 True Class: 3\n",
      "Test 873 Prediction: 3 True Class: 1\n",
      "Test 874 Prediction: 3 True Class: 3\n",
      "Test 875 Prediction: 1 True Class: 1\n",
      "Test 876 Prediction: 1 True Class: 1\n",
      "Test 877 Prediction: 3 True Class: 2\n",
      "Test 878 Prediction: 1 True Class: 2\n",
      "Test 879 Prediction: 1 True Class: 1\n",
      "Test 880 Prediction: 2 True Class: 2\n",
      "Test 881 Prediction: 2 True Class: 3\n",
      "Test 882 Prediction: 2 True Class: 2\n",
      "Test 883 Prediction: 2 True Class: 1\n",
      "Test 884 Prediction: 2 True Class: 2\n",
      "Test 885 Prediction: 3 True Class: 2\n",
      "Test 886 Prediction: 3 True Class: 2\n",
      "Test 887 Prediction: 2 True Class: 3\n",
      "Test 888 Prediction: 2 True Class: 2\n",
      "Test 889 Prediction: 2 True Class: 2\n",
      "Test 890 Prediction: 2 True Class: 2\n",
      "Test 891 Prediction: 2 True Class: 1\n",
      "Test 892 Prediction: 2 True Class: 2\n",
      "Test 893 Prediction: 2 True Class: 3\n",
      "Test 894 Prediction: 2 True Class: 3\n",
      "Test 895 Prediction: 2 True Class: 2\n",
      "Test 896 Prediction: 2 True Class: 2\n",
      "Test 897 Prediction: 2 True Class: 2\n",
      "Test 898 Prediction: 2 True Class: 2\n",
      "Test 899 Prediction: 2 True Class: 2\n",
      "Test 900 Prediction: 2 True Class: 2\n",
      "Test 901 Prediction: 2 True Class: 3\n",
      "Test 902 Prediction: 2 True Class: 3\n",
      "Test 903 Prediction: 2 True Class: 2\n",
      "Test 904 Prediction: 2 True Class: 2\n",
      "Test 905 Prediction: 2 True Class: 2\n",
      "Test 906 Prediction: 2 True Class: 2\n",
      "Test 907 Prediction: 2 True Class: 2\n",
      "Test 908 Prediction: 2 True Class: 2\n",
      "Test 909 Prediction: 2 True Class: 2\n",
      "Test 910 Prediction: 2 True Class: 2\n",
      "Test 911 Prediction: 3 True Class: 2\n",
      "Test 912 Prediction: 3 True Class: 2\n",
      "Test 913 Prediction: 2 True Class: 2\n",
      "Test 914 Prediction: 2 True Class: 2\n",
      "Test 915 Prediction: 3 True Class: 2\n",
      "Test 916 Prediction: 1 True Class: 1\n",
      "Test 917 Prediction: 2 True Class: 2\n",
      "Test 918 Prediction: 2 True Class: 2\n",
      "Test 919 Prediction: 2 True Class: 2\n",
      "Test 920 Prediction: 2 True Class: 2\n",
      "Test 921 Prediction: 2 True Class: 2\n",
      "Test 922 Prediction: 1 True Class: 1\n",
      "Test 923 Prediction: 2 True Class: 1\n",
      "Test 924 Prediction: 2 True Class: 2\n",
      "Test 925 Prediction: 3 True Class: 1\n",
      "Test 926 Prediction: 3 True Class: 1\n",
      "Test 927 Prediction: 2 True Class: 2\n",
      "Test 928 Prediction: 2 True Class: 2\n",
      "Test 929 Prediction: 1 True Class: 2\n",
      "Test 930 Prediction: 2 True Class: 2\n",
      "Test 931 Prediction: 2 True Class: 2\n",
      "Test 932 Prediction: 2 True Class: 2\n",
      "Test 933 Prediction: 2 True Class: 2\n",
      "Test 934 Prediction: 2 True Class: 2\n",
      "Test 935 Prediction: 2 True Class: 2\n",
      "Test 936 Prediction: 3 True Class: 2\n",
      "Test 937 Prediction: 2 True Class: 3\n",
      "Test 938 Prediction: 2 True Class: 2\n",
      "Test 939 Prediction: 2 True Class: 2\n",
      "Test 940 Prediction: 1 True Class: 2\n",
      "Test 941 Prediction: 2 True Class: 2\n",
      "Test 942 Prediction: 2 True Class: 2\n",
      "Test 943 Prediction: 2 True Class: 1\n",
      "Test 944 Prediction: 2 True Class: 2\n",
      "Test 945 Prediction: 2 True Class: 2\n",
      "Test 946 Prediction: 2 True Class: 2\n",
      "Test 947 Prediction: 2 True Class: 3\n",
      "Test 948 Prediction: 1 True Class: 3\n",
      "Test 949 Prediction: 1 True Class: 2\n",
      "Test 950 Prediction: 1 True Class: 2\n",
      "Test 951 Prediction: 2 True Class: 2\n",
      "Test 952 Prediction: 1 True Class: 2\n",
      "Test 953 Prediction: 2 True Class: 2\n",
      "Test 954 Prediction: 3 True Class: 2\n",
      "Test 955 Prediction: 3 True Class: 2\n",
      "Test 956 Prediction: 1 True Class: 2\n",
      "Test 957 Prediction: 4 True Class: 3\n",
      "Test 958 Prediction: 3 True Class: 2\n",
      "Test 959 Prediction: 3 True Class: 2\n",
      "Test 960 Prediction: 2 True Class: 2\n",
      "Test 961 Prediction: 1 True Class: 2\n",
      "Test 962 Prediction: 1 True Class: 1\n",
      "Test 963 Prediction: 2 True Class: 1\n",
      "Test 964 Prediction: 3 True Class: 1\n",
      "Test 965 Prediction: 2 True Class: 1\n",
      "Test 966 Prediction: 1 True Class: 2\n",
      "Test 967 Prediction: 1 True Class: 2\n",
      "Test 968 Prediction: 2 True Class: 3\n",
      "Test 969 Prediction: 2 True Class: 2\n",
      "Test 970 Prediction: 1 True Class: 1\n",
      "Test 971 Prediction: 1 True Class: 1\n",
      "Test 972 Prediction: 2 True Class: 2\n",
      "Test 973 Prediction: 2 True Class: 2\n",
      "Test 974 Prediction: 2 True Class: 3\n",
      "Test 975 Prediction: 2 True Class: 2\n",
      "Test 976 Prediction: 2 True Class: 1\n",
      "Test 977 Prediction: 2 True Class: 1\n",
      "Test 978 Prediction: 2 True Class: 1\n",
      "Test 979 Prediction: 2 True Class: 2\n",
      "Test 980 Prediction: 2 True Class: 2\n",
      "Test 981 Prediction: 2 True Class: 2\n",
      "Test 982 Prediction: 1 True Class: 2\n",
      "Test 983 Prediction: 2 True Class: 2\n",
      "Test 984 Prediction: 1 True Class: 1\n",
      "Test 985 Prediction: 0 True Class: 1\n",
      "Test 986 Prediction: 2 True Class: 2\n",
      "Test 987 Prediction: 0 True Class: 2\n",
      "Test 988 Prediction: 1 True Class: 2\n",
      "Test 989 Prediction: 1 True Class: 2\n",
      "Test 990 Prediction: 1 True Class: 2\n",
      "Test 991 Prediction: 2 True Class: 2\n",
      "Test 992 Prediction: 2 True Class: 2\n",
      "Test 993 Prediction: 2 True Class: 2\n",
      "Test 994 Prediction: 2 True Class: 2\n",
      "Test 995 Prediction: 1 True Class: 2\n",
      "Test 996 Prediction: 1 True Class: 1\n",
      "Test 997 Prediction: 1 True Class: 1\n",
      "Test 998 Prediction: 1 True Class: 1\n",
      "Test 999 Prediction: 1 True Class: 1\n",
      "Test 1000 Prediction: 0 True Class: 0\n",
      "Test 1001 Prediction: 2 True Class: 3\n",
      "Test 1002 Prediction: 2 True Class: 3\n",
      "Test 1003 Prediction: 2 True Class: 3\n",
      "Test 1004 Prediction: 3 True Class: 2\n",
      "Test 1005 Prediction: 3 True Class: 2\n",
      "Test 1006 Prediction: 2 True Class: 2\n",
      "Test 1007 Prediction: 2 True Class: 2\n",
      "Test 1008 Prediction: 2 True Class: 2\n",
      "Test 1009 Prediction: 2 True Class: 2\n",
      "Test 1010 Prediction: 2 True Class: 2\n",
      "Test 1011 Prediction: 2 True Class: 2\n",
      "Test 1012 Prediction: 2 True Class: 1\n",
      "Test 1013 Prediction: 2 True Class: 1\n",
      "Test 1014 Prediction: 2 True Class: 2\n",
      "Test 1015 Prediction: 2 True Class: 3\n",
      "Test 1016 Prediction: 2 True Class: 2\n",
      "Test 1017 Prediction: 2 True Class: 2\n",
      "Test 1018 Prediction: 2 True Class: 2\n",
      "Test 1019 Prediction: 2 True Class: 2\n",
      "Test 1020 Prediction: 1 True Class: 2\n",
      "Test 1021 Prediction: 2 True Class: 3\n",
      "Test 1022 Prediction: 1 True Class: 2\n",
      "Test 1023 Prediction: 2 True Class: 2\n",
      "Test 1024 Prediction: 1 True Class: 1\n",
      "Test 1025 Prediction: 1 True Class: 3\n",
      "Test 1026 Prediction: 2 True Class: 1\n",
      "Test 1027 Prediction: 1 True Class: 2\n",
      "Test 1028 Prediction: 2 True Class: 2\n",
      "Test 1029 Prediction: 3 True Class: 2\n",
      "Test 1030 Prediction: 2 True Class: 3\n",
      "Test 1031 Prediction: 2 True Class: 2\n",
      "Test 1032 Prediction: 2 True Class: 2\n",
      "Test 1033 Prediction: 2 True Class: 2\n",
      "Test 1034 Prediction: 2 True Class: 2\n",
      "Test 1035 Prediction: 2 True Class: 2\n",
      "Test 1036 Prediction: 2 True Class: 2\n",
      "Test 1037 Prediction: 2 True Class: 2\n",
      "Test 1038 Prediction: 3 True Class: 1\n",
      "Test 1039 Prediction: 3 True Class: 1\n",
      "Test 1040 Prediction: 3 True Class: 2\n",
      "Test 1041 Prediction: 1 True Class: 2\n",
      "Test 1042 Prediction: 2 True Class: 2\n",
      "Test 1043 Prediction: 1 True Class: 1\n",
      "Test 1044 Prediction: 1 True Class: 1\n",
      "Test 1045 Prediction: 2 True Class: 1\n",
      "Test 1046 Prediction: 2 True Class: 2\n",
      "Test 1047 Prediction: 3 True Class: 2\n",
      "Test 1048 Prediction: 3 True Class: 2\n",
      "Test 1049 Prediction: 1 True Class: 2\n",
      "Test 1050 Prediction: 2 True Class: 2\n",
      "Test 1051 Prediction: 3 True Class: 3\n",
      "Test 1052 Prediction: 3 True Class: 3\n",
      "Test 1053 Prediction: 3 True Class: 2\n",
      "Test 1054 Prediction: 2 True Class: 3\n",
      "Test 1055 Prediction: 2 True Class: 2\n",
      "Test 1056 Prediction: 3 True Class: 2\n",
      "Test 1057 Prediction: 3 True Class: 3\n",
      "Test 1058 Prediction: 3 True Class: 2\n",
      "Test 1059 Prediction: 3 True Class: 1\n",
      "Test 1060 Prediction: 1 True Class: 2\n",
      "Test 1061 Prediction: 2 True Class: 2\n",
      "Test 1062 Prediction: 2 True Class: 2\n",
      "Test 1063 Prediction: 3 True Class: 2\n",
      "Test 1064 Prediction: 3 True Class: 3\n",
      "Test 1065 Prediction: 3 True Class: 1\n",
      "Test 1066 Prediction: 3 True Class: 3\n",
      "Test 1067 Prediction: 3 True Class: 2\n",
      "Test 1068 Prediction: 3 True Class: 2\n",
      "Test 1069 Prediction: 3 True Class: 2\n",
      "Test 1070 Prediction: 3 True Class: 1\n",
      "Test 1071 Prediction: 3 True Class: 2\n",
      "Test 1072 Prediction: 0 True Class: 3\n",
      "Test 1073 Prediction: 0 True Class: 2\n",
      "Test 1074 Prediction: 2 True Class: 1\n",
      "Test 1075 Prediction: 0 True Class: 1\n",
      "Test 1076 Prediction: 1 True Class: 3\n",
      "Test 1077 Prediction: 1 True Class: 1\n",
      "Test 1078 Prediction: 1 True Class: 2\n",
      "Test 1079 Prediction: 2 True Class: 2\n",
      "Test 1080 Prediction: 2 True Class: 2\n",
      "Test 1081 Prediction: 3 True Class: 2\n",
      "Test 1082 Prediction: 2 True Class: 2\n",
      "Test 1083 Prediction: 2 True Class: 2\n",
      "Test 1084 Prediction: 2 True Class: 1\n",
      "Test 1085 Prediction: 2 True Class: 2\n",
      "Test 1086 Prediction: 3 True Class: 2\n",
      "Test 1087 Prediction: 2 True Class: 3\n",
      "Test 1088 Prediction: 2 True Class: 1\n",
      "Test 1089 Prediction: 2 True Class: 2\n",
      "Test 1090 Prediction: 2 True Class: 3\n",
      "Test 1091 Prediction: 1 True Class: 3\n",
      "Test 1092 Prediction: 3 True Class: 3\n",
      "Test 1093 Prediction: 3 True Class: 3\n",
      "Test 1094 Prediction: 3 True Class: 3\n",
      "Test 1095 Prediction: 3 True Class: 1\n",
      "Test 1096 Prediction: 2 True Class: 2\n",
      "Test 1097 Prediction: 3 True Class: 2\n",
      "Test 1098 Prediction: 3 True Class: 3\n",
      "Test 1099 Prediction: 3 True Class: 1\n",
      "Test 1100 Prediction: 3 True Class: 3\n",
      "Test 1101 Prediction: 2 True Class: 2\n",
      "Test 1102 Prediction: 2 True Class: 1\n",
      "Test 1103 Prediction: 2 True Class: 2\n",
      "Test 1104 Prediction: 3 True Class: 2\n",
      "Test 1105 Prediction: 1 True Class: 3\n",
      "Test 1106 Prediction: 3 True Class: 2\n",
      "Test 1107 Prediction: 3 True Class: 2\n",
      "Test 1108 Prediction: 3 True Class: 3\n",
      "Test 1109 Prediction: 3 True Class: 3\n",
      "Test 1110 Prediction: 2 True Class: 2\n",
      "Test 1111 Prediction: 1 True Class: 2\n",
      "Test 1112 Prediction: 3 True Class: 2\n",
      "Test 1113 Prediction: 3 True Class: 2\n",
      "Test 1114 Prediction: 3 True Class: 3\n",
      "Test 1115 Prediction: 3 True Class: 3\n",
      "Test 1116 Prediction: 2 True Class: 1\n",
      "Test 1117 Prediction: 1 True Class: 2\n",
      "Test 1118 Prediction: 3 True Class: 1\n",
      "Test 1119 Prediction: 3 True Class: 2\n",
      "Test 1120 Prediction: 3 True Class: 2\n",
      "Test 1121 Prediction: 2 True Class: 2\n",
      "Test 1122 Prediction: 1 True Class: 2\n",
      "Test 1123 Prediction: 2 True Class: 2\n",
      "Test 1124 Prediction: 2 True Class: 1\n",
      "Test 1125 Prediction: 2 True Class: 2\n",
      "Test 1126 Prediction: 2 True Class: 2\n",
      "Test 1127 Prediction: 3 True Class: 2\n",
      "Test 1128 Prediction: 2 True Class: 2\n",
      "Test 1129 Prediction: 2 True Class: 2\n",
      "Test 1130 Prediction: 2 True Class: 2\n",
      "Test 1131 Prediction: 1 True Class: 1\n",
      "Test 1132 Prediction: 1 True Class: 3\n",
      "Test 1133 Prediction: 2 True Class: 1\n",
      "Test 1134 Prediction: 3 True Class: 2\n",
      "Test 1135 Prediction: 3 True Class: 2\n",
      "Test 1136 Prediction: 3 True Class: 2\n",
      "Test 1137 Prediction: 3 True Class: 2\n",
      "Test 1138 Prediction: 3 True Class: 2\n",
      "Test 1139 Prediction: 2 True Class: 2\n",
      "Test 1140 Prediction: 2 True Class: 2\n",
      "Test 1141 Prediction: 1 True Class: 2\n",
      "Test 1142 Prediction: 2 True Class: 2\n",
      "Test 1143 Prediction: 2 True Class: 2\n",
      "Test 1144 Prediction: 3 True Class: 3\n",
      "Test 1145 Prediction: 2 True Class: 2\n",
      "Test 1146 Prediction: 3 True Class: 2\n",
      "Test 1147 Prediction: 3 True Class: 2\n",
      "Test 1148 Prediction: 2 True Class: 2\n",
      "Test 1149 Prediction: 2 True Class: 2\n",
      "Test 1150 Prediction: 2 True Class: 2\n",
      "Test 1151 Prediction: 3 True Class: 2\n",
      "Test 1152 Prediction: 3 True Class: 2\n",
      "Test 1153 Prediction: 3 True Class: 2\n",
      "Test 1154 Prediction: 3 True Class: 2\n",
      "Test 1155 Prediction: 3 True Class: 2\n",
      "Test 1156 Prediction: 3 True Class: 1\n",
      "Test 1157 Prediction: 3 True Class: 2\n",
      "Test 1158 Prediction: 3 True Class: 2\n",
      "Test 1159 Prediction: 1 True Class: 2\n",
      "Test 1160 Prediction: 3 True Class: 2\n",
      "Test 1161 Prediction: 2 True Class: 2\n",
      "Test 1162 Prediction: 3 True Class: 2\n",
      "Test 1163 Prediction: 3 True Class: 2\n",
      "Test 1164 Prediction: 2 True Class: 2\n",
      "Test 1165 Prediction: 1 True Class: 2\n",
      "Test 1166 Prediction: 3 True Class: 2\n",
      "Test 1167 Prediction: 3 True Class: 1\n",
      "Test 1168 Prediction: 0 True Class: 1\n",
      "Test 1169 Prediction: 2 True Class: 1\n",
      "Test 1170 Prediction: 3 True Class: 2\n",
      "Test 1171 Prediction: 3 True Class: 2\n",
      "Test 1172 Prediction: 2 True Class: 2\n",
      "Test 1173 Prediction: 2 True Class: 3\n",
      "Test 1174 Prediction: 3 True Class: 3\n",
      "Test 1175 Prediction: 2 True Class: 3\n",
      "Test 1176 Prediction: 3 True Class: 2\n",
      "Test 1177 Prediction: 3 True Class: 2\n",
      "Test 1178 Prediction: 2 True Class: 2\n",
      "Test 1179 Prediction: 2 True Class: 2\n",
      "Test 1180 Prediction: 1 True Class: 2\n",
      "Test 1181 Prediction: 1 True Class: 3\n",
      "Test 1182 Prediction: 2 True Class: 3\n",
      "Test 1183 Prediction: 3 True Class: 2\n",
      "Test 1184 Prediction: 2 True Class: 2\n",
      "Test 1185 Prediction: 3 True Class: 1\n",
      "Test 1186 Prediction: 1 True Class: 2\n",
      "Test 1187 Prediction: 1 True Class: 3\n",
      "Test 1188 Prediction: 4 True Class: 2\n",
      "Test 1189 Prediction: 3 True Class: 2\n",
      "Test 1190 Prediction: 2 True Class: 2\n",
      "Test 1191 Prediction: 3 True Class: 2\n",
      "Test 1192 Prediction: 3 True Class: 2\n",
      "Test 1193 Prediction: 3 True Class: 1\n",
      "Test 1194 Prediction: 3 True Class: 2\n",
      "Test 1195 Prediction: 2 True Class: 2\n",
      "Test 1196 Prediction: 3 True Class: 2\n",
      "Test 1197 Prediction: 3 True Class: 1\n",
      "Test 1198 Prediction: 2 True Class: 2\n",
      "Test 1199 Prediction: 1 True Class: 3\n",
      "Test 1200 Prediction: 3 True Class: 1\n",
      "Test 1201 Prediction: 1 True Class: 1\n",
      "Test 1202 Prediction: 1 True Class: 2\n",
      "Test 1203 Prediction: 3 True Class: 2\n",
      "Test 1204 Prediction: 3 True Class: 2\n",
      "Test 1205 Prediction: 3 True Class: 2\n",
      "Test 1206 Prediction: 2 True Class: 2\n",
      "Test 1207 Prediction: 2 True Class: 2\n",
      "Test 1208 Prediction: 2 True Class: 1\n",
      "Test 1209 Prediction: 2 True Class: 2\n",
      "Test 1210 Prediction: 2 True Class: 2\n",
      "Test 1211 Prediction: 2 True Class: 2\n",
      "Test 1212 Prediction: 3 True Class: 2\n",
      "Test 1213 Prediction: 3 True Class: 2\n",
      "Test 1214 Prediction: 2 True Class: 2\n",
      "Test 1215 Prediction: 2 True Class: 2\n",
      "Test 1216 Prediction: 3 True Class: 2\n",
      "Test 1217 Prediction: 3 True Class: 2\n",
      "Test 1218 Prediction: 3 True Class: 2\n",
      "Test 1219 Prediction: 3 True Class: 2\n",
      "Test 1220 Prediction: 3 True Class: 2\n",
      "Test 1221 Prediction: 1 True Class: 3\n",
      "Test 1222 Prediction: 1 True Class: 2\n",
      "Test 1223 Prediction: 1 True Class: 2\n",
      "Test 1224 Prediction: 2 True Class: 2\n",
      "Test 1225 Prediction: 1 True Class: 2\n",
      "Test 1226 Prediction: 3 True Class: 3\n",
      "Test 1227 Prediction: 2 True Class: 2\n",
      "Test 1228 Prediction: 1 True Class: 2\n",
      "Test 1229 Prediction: 1 True Class: 2\n",
      "Test 1230 Prediction: 2 True Class: 2\n",
      "Test 1231 Prediction: 2 True Class: 2\n",
      "Test 1232 Prediction: 1 True Class: 2\n",
      "Test 1233 Prediction: 1 True Class: 2\n",
      "Test 1234 Prediction: 2 True Class: 2\n",
      "Test 1235 Prediction: 1 True Class: 2\n",
      "Test 1236 Prediction: 3 True Class: 2\n",
      "Test 1237 Prediction: 2 True Class: 2\n",
      "Test 1238 Prediction: 3 True Class: 2\n",
      "Test 1239 Prediction: 1 True Class: 2\n",
      "Test 1240 Prediction: 2 True Class: 3\n",
      "Test 1241 Prediction: 1 True Class: 2\n",
      "Test 1242 Prediction: 2 True Class: 2\n",
      "Test 1243 Prediction: 3 True Class: 2\n",
      "Test 1244 Prediction: 1 True Class: 2\n",
      "Test 1245 Prediction: 2 True Class: 2\n",
      "Test 1246 Prediction: 2 True Class: 2\n",
      "Test 1247 Prediction: 3 True Class: 2\n",
      "Test 1248 Prediction: 2 True Class: 2\n",
      "Test 1249 Prediction: 3 True Class: 2\n",
      "Test 1250 Prediction: 1 True Class: 2\n",
      "Test 1251 Prediction: 1 True Class: 2\n",
      "Test 1252 Prediction: 2 True Class: 2\n",
      "Test 1253 Prediction: 3 True Class: 2\n",
      "Test 1254 Prediction: 3 True Class: 2\n",
      "Test 1255 Prediction: 1 True Class: 2\n",
      "Test 1256 Prediction: 1 True Class: 3\n",
      "Test 1257 Prediction: 1 True Class: 2\n",
      "Test 1258 Prediction: 1 True Class: 2\n",
      "Test 1259 Prediction: 1 True Class: 2\n",
      "Test 1260 Prediction: 1 True Class: 2\n",
      "Test 1261 Prediction: 1 True Class: 2\n",
      "Test 1262 Prediction: 1 True Class: 2\n",
      "Test 1263 Prediction: 3 True Class: 2\n",
      "Test 1264 Prediction: 3 True Class: 3\n",
      "Test 1265 Prediction: 3 True Class: 3\n",
      "Test 1266 Prediction: 2 True Class: 2\n",
      "Test 1267 Prediction: 3 True Class: 1\n",
      "Test 1268 Prediction: 2 True Class: 2\n",
      "Test 1269 Prediction: 2 True Class: 2\n",
      "Test 1270 Prediction: 1 True Class: 2\n",
      "Test 1271 Prediction: 1 True Class: 2\n",
      "Test 1272 Prediction: 2 True Class: 2\n",
      "Test 1273 Prediction: 2 True Class: 2\n",
      "Test 1274 Prediction: 2 True Class: 2\n",
      "Test 1275 Prediction: 3 True Class: 2\n",
      "Test 1276 Prediction: 3 True Class: 2\n",
      "Test 1277 Prediction: 3 True Class: 1\n",
      "Test 1278 Prediction: 3 True Class: 3\n",
      "Test 1279 Prediction: 1 True Class: 2\n",
      "Test 1280 Prediction: 1 True Class: 2\n",
      "Test 1281 Prediction: 3 True Class: 2\n",
      "Test 1282 Prediction: 2 True Class: 1\n",
      "Test 1283 Prediction: 2 True Class: 2\n",
      "Test 1284 Prediction: 3 True Class: 2\n",
      "Test 1285 Prediction: 0 True Class: 3\n",
      "Test 1286 Prediction: 1 True Class: 2\n",
      "Test 1287 Prediction: 2 True Class: 1\n",
      "Test 1288 Prediction: 1 True Class: 1\n",
      "Test 1289 Prediction: 2 True Class: 1\n",
      "Test 1290 Prediction: 3 True Class: 2\n",
      "Test 1291 Prediction: 2 True Class: 2\n",
      "Test 1292 Prediction: 2 True Class: 2\n",
      "Test 1293 Prediction: 2 True Class: 2\n",
      "Test 1294 Prediction: 2 True Class: 2\n",
      "Test 1295 Prediction: 2 True Class: 2\n",
      "Test 1296 Prediction: 2 True Class: 2\n",
      "Test 1297 Prediction: 2 True Class: 2\n",
      "Test 1298 Prediction: 2 True Class: 2\n",
      "Test 1299 Prediction: 2 True Class: 3\n",
      "Test 1300 Prediction: 3 True Class: 2\n",
      "Test 1301 Prediction: 3 True Class: 2\n",
      "Test 1302 Prediction: 2 True Class: 2\n",
      "Test 1303 Prediction: 3 True Class: 2\n",
      "Test 1304 Prediction: 3 True Class: 2\n",
      "Test 1305 Prediction: 3 True Class: 2\n",
      "Test 1306 Prediction: 2 True Class: 3\n",
      "Test 1307 Prediction: 3 True Class: 2\n",
      "Test 1308 Prediction: 2 True Class: 2\n",
      "Test 1309 Prediction: 1 True Class: 1\n",
      "Test 1310 Prediction: 1 True Class: 3\n",
      "Test 1311 Prediction: 1 True Class: 1\n",
      "Test 1312 Prediction: 2 True Class: 2\n",
      "Test 1313 Prediction: 2 True Class: 2\n",
      "Test 1314 Prediction: 3 True Class: 2\n",
      "Test 1315 Prediction: 2 True Class: 2\n",
      "Test 1316 Prediction: 3 True Class: 2\n",
      "Test 1317 Prediction: 3 True Class: 2\n",
      "Test 1318 Prediction: 2 True Class: 2\n",
      "Test 1319 Prediction: 2 True Class: 2\n",
      "Test 1320 Prediction: 2 True Class: 2\n",
      "Test 1321 Prediction: 2 True Class: 2\n",
      "Test 1322 Prediction: 3 True Class: 2\n",
      "Test 1323 Prediction: 2 True Class: 2\n",
      "Test 1324 Prediction: 2 True Class: 2\n",
      "Test 1325 Prediction: 2 True Class: 2\n",
      "Test 1326 Prediction: 2 True Class: 2\n",
      "Test 1327 Prediction: 1 True Class: 2\n",
      "Test 1328 Prediction: 1 True Class: 0\n",
      "Test 1329 Prediction: 2 True Class: 2\n",
      "Test 1330 Prediction: 2 True Class: 2\n",
      "Test 1331 Prediction: 1 True Class: 2\n",
      "Test 1332 Prediction: 2 True Class: 2\n",
      "Test 1333 Prediction: 1 True Class: 2\n",
      "Test 1334 Prediction: 1 True Class: 2\n",
      "Test 1335 Prediction: 2 True Class: 3\n",
      "Test 1336 Prediction: 3 True Class: 3\n",
      "Test 1337 Prediction: 3 True Class: 2\n",
      "Test 1338 Prediction: 2 True Class: 2\n",
      "Test 1339 Prediction: 1 True Class: 3\n",
      "Test 1340 Prediction: 2 True Class: 1\n",
      "Test 1341 Prediction: 2 True Class: 4\n",
      "Test 1342 Prediction: 2 True Class: 2\n",
      "Test 1343 Prediction: 2 True Class: 2\n",
      "Test 1344 Prediction: 2 True Class: 2\n",
      "Test 1345 Prediction: 2 True Class: 2\n",
      "Test 1346 Prediction: 2 True Class: 2\n",
      "Test 1347 Prediction: 3 True Class: 2\n",
      "Test 1348 Prediction: 2 True Class: 3\n",
      "Test 1349 Prediction: 1 True Class: 3\n",
      "Test 1350 Prediction: 1 True Class: 3\n",
      "Test 1351 Prediction: 2 True Class: 2\n",
      "Test 1352 Prediction: 3 True Class: 1\n",
      "Test 1353 Prediction: 2 True Class: 2\n",
      "Test 1354 Prediction: 2 True Class: 2\n",
      "Test 1355 Prediction: 2 True Class: 2\n",
      "Test 1356 Prediction: 2 True Class: 2\n",
      "Test 1357 Prediction: 2 True Class: 2\n",
      "Test 1358 Prediction: 2 True Class: 2\n",
      "Test 1359 Prediction: 1 True Class: 1\n",
      "Test 1360 Prediction: 1 True Class: 2\n",
      "Test 1361 Prediction: 1 True Class: 2\n",
      "Test 1362 Prediction: 2 True Class: 2\n",
      "Test 1363 Prediction: 2 True Class: 2\n",
      "Test 1364 Prediction: 1 True Class: 1\n",
      "Test 1365 Prediction: 1 True Class: 3\n",
      "Test 1366 Prediction: 2 True Class: 2\n",
      "Test 1367 Prediction: 2 True Class: 3\n",
      "Test 1368 Prediction: 2 True Class: 3\n",
      "Test 1369 Prediction: 2 True Class: 3\n",
      "Test 1370 Prediction: 3 True Class: 2\n",
      "Test 1371 Prediction: 3 True Class: 2\n",
      "Test 1372 Prediction: 2 True Class: 2\n",
      "Test 1373 Prediction: 2 True Class: 2\n",
      "Test 1374 Prediction: 2 True Class: 3\n",
      "Test 1375 Prediction: 3 True Class: 2\n",
      "Test 1376 Prediction: 1 True Class: 1\n",
      "Test 1377 Prediction: 4 True Class: 3\n",
      "Test 1378 Prediction: 2 True Class: 1\n",
      "Test 1379 Prediction: 2 True Class: 3\n",
      "Test 1380 Prediction: 1 True Class: 3\n",
      "Test 1381 Prediction: 2 True Class: 2\n",
      "Test 1382 Prediction: 2 True Class: 2\n",
      "Test 1383 Prediction: 3 True Class: 2\n",
      "Test 1384 Prediction: 2 True Class: 2\n",
      "Test 1385 Prediction: 2 True Class: 2\n",
      "Test 1386 Prediction: 2 True Class: 2\n",
      "Test 1387 Prediction: 2 True Class: 2\n",
      "Test 1388 Prediction: 2 True Class: 2\n",
      "Test 1389 Prediction: 2 True Class: 3\n",
      "Test 1390 Prediction: 2 True Class: 3\n",
      "Test 1391 Prediction: 2 True Class: 2\n",
      "Test 1392 Prediction: 2 True Class: 2\n",
      "Test 1393 Prediction: 2 True Class: 2\n",
      "Test 1394 Prediction: 2 True Class: 2\n",
      "Test 1395 Prediction: 2 True Class: 1\n",
      "Test 1396 Prediction: 2 True Class: 3\n",
      "Test 1397 Prediction: 2 True Class: 1\n",
      "Test 1398 Prediction: 2 True Class: 2\n",
      "Test 1399 Prediction: 2 True Class: 2\n",
      "Test 1400 Prediction: 2 True Class: 3\n",
      "Test 1401 Prediction: 2 True Class: 2\n",
      "Test 1402 Prediction: 2 True Class: 2\n",
      "Test 1403 Prediction: 2 True Class: 1\n",
      "Test 1404 Prediction: 2 True Class: 2\n",
      "Test 1405 Prediction: 2 True Class: 3\n",
      "Test 1406 Prediction: 1 True Class: 2\n",
      "Test 1407 Prediction: 2 True Class: 2\n",
      "Test 1408 Prediction: 2 True Class: 2\n",
      "Test 1409 Prediction: 2 True Class: 3\n",
      "Test 1410 Prediction: 1 True Class: 4\n",
      "Test 1411 Prediction: 2 True Class: 2\n",
      "Test 1412 Prediction: 2 True Class: 2\n",
      "Test 1413 Prediction: 2 True Class: 1\n",
      "Test 1414 Prediction: 2 True Class: 1\n",
      "Test 1415 Prediction: 2 True Class: 2\n",
      "Test 1416 Prediction: 2 True Class: 2\n",
      "Test 1417 Prediction: 2 True Class: 2\n",
      "Test 1418 Prediction: 2 True Class: 2\n",
      "Test 1419 Prediction: 2 True Class: 2\n",
      "Test 1420 Prediction: 2 True Class: 2\n",
      "Test 1421 Prediction: 1 True Class: 1\n",
      "Test 1422 Prediction: 2 True Class: 2\n",
      "Test 1423 Prediction: 2 True Class: 2\n",
      "Test 1424 Prediction: 2 True Class: 2\n",
      "Test 1425 Prediction: 2 True Class: 2\n",
      "Test 1426 Prediction: 2 True Class: 2\n",
      "Test 1427 Prediction: 2 True Class: 2\n",
      "Test 1428 Prediction: 2 True Class: 2\n",
      "Test 1429 Prediction: 2 True Class: 2\n",
      "Test 1430 Prediction: 3 True Class: 2\n",
      "Test 1431 Prediction: 2 True Class: 2\n",
      "Test 1432 Prediction: 2 True Class: 2\n",
      "Test 1433 Prediction: 3 True Class: 3\n",
      "Test 1434 Prediction: 3 True Class: 2\n",
      "Test 1435 Prediction: 2 True Class: 2\n",
      "Test 1436 Prediction: 1 True Class: 1\n",
      "Test 1437 Prediction: 2 True Class: 2\n",
      "Test 1438 Prediction: 1 True Class: 2\n",
      "Test 1439 Prediction: 2 True Class: 2\n",
      "Test 1440 Prediction: 3 True Class: 2\n",
      "Test 1441 Prediction: 1 True Class: 3\n",
      "Test 1442 Prediction: 2 True Class: 2\n",
      "Test 1443 Prediction: 1 True Class: 3\n",
      "Test 1444 Prediction: 1 True Class: 2\n",
      "Test 1445 Prediction: 1 True Class: 2\n",
      "Test 1446 Prediction: 1 True Class: 2\n",
      "Test 1447 Prediction: 1 True Class: 1\n",
      "Test 1448 Prediction: 1 True Class: 2\n",
      "Test 1449 Prediction: 1 True Class: 2\n",
      "Test 1450 Prediction: 1 True Class: 2\n",
      "Test 1451 Prediction: 2 True Class: 2\n",
      "Test 1452 Prediction: 2 True Class: 2\n",
      "Test 1453 Prediction: 3 True Class: 2\n",
      "Test 1454 Prediction: 3 True Class: 1\n",
      "Test 1455 Prediction: 1 True Class: 3\n",
      "Test 1456 Prediction: 2 True Class: 2\n",
      "Test 1457 Prediction: 2 True Class: 2\n",
      "Test 1458 Prediction: 2 True Class: 2\n",
      "Test 1459 Prediction: 2 True Class: 2\n",
      "Test 1460 Prediction: 2 True Class: 2\n",
      "Test 1461 Prediction: 2 True Class: 2\n",
      "Test 1462 Prediction: 3 True Class: 2\n",
      "Test 1463 Prediction: 3 True Class: 2\n",
      "Test 1464 Prediction: 1 True Class: 3\n",
      "Test 1465 Prediction: 1 True Class: 2\n",
      "Test 1466 Prediction: 4 True Class: 2\n",
      "Test 1467 Prediction: 3 True Class: 2\n",
      "Test 1468 Prediction: 2 True Class: 2\n",
      "Test 1469 Prediction: 3 True Class: 1\n",
      "Test 1470 Prediction: 2 True Class: 4\n",
      "Test 1471 Prediction: 2 True Class: 2\n",
      "Test 1472 Prediction: 2 True Class: 2\n",
      "Test 1473 Prediction: 2 True Class: 1\n",
      "Test 1474 Prediction: 2 True Class: 2\n",
      "Test 1475 Prediction: 2 True Class: 1\n",
      "Test 1476 Prediction: 2 True Class: 1\n",
      "Test 1477 Prediction: 2 True Class: 2\n",
      "Test 1478 Prediction: 2 True Class: 2\n",
      "Test 1479 Prediction: 2 True Class: 2\n",
      "Test 1480 Prediction: 3 True Class: 2\n",
      "Test 1481 Prediction: 2 True Class: 1\n",
      "Test 1482 Prediction: 1 True Class: 2\n",
      "Test 1483 Prediction: 2 True Class: 2\n",
      "Test 1484 Prediction: 2 True Class: 3\n",
      "Test 1485 Prediction: 3 True Class: 2\n",
      "Test 1486 Prediction: 2 True Class: 2\n",
      "Test 1487 Prediction: 2 True Class: 1\n",
      "Test 1488 Prediction: 1 True Class: 1\n",
      "Test 1489 Prediction: 1 True Class: 1\n",
      "Test 1490 Prediction: 2 True Class: 2\n",
      "Test 1491 Prediction: 2 True Class: 2\n",
      "Test 1492 Prediction: 2 True Class: 2\n",
      "Test 1493 Prediction: 2 True Class: 2\n",
      "Test 1494 Prediction: 2 True Class: 2\n",
      "Test 1495 Prediction: 3 True Class: 1\n",
      "Test 1496 Prediction: 1 True Class: 1\n",
      "Test 1497 Prediction: 1 True Class: 1\n",
      "Test 1498 Prediction: 1 True Class: 2\n",
      "Test 1499 Prediction: 2 True Class: 2\n",
      "Test 1500 Prediction: 2 True Class: 2\n",
      "Test 1501 Prediction: 2 True Class: 3\n",
      "Test 1502 Prediction: 2 True Class: 2\n",
      "Test 1503 Prediction: 2 True Class: 2\n",
      "Test 1504 Prediction: 2 True Class: 2\n",
      "Test 1505 Prediction: 2 True Class: 3\n",
      "Test 1506 Prediction: 3 True Class: 2\n",
      "Test 1507 Prediction: 2 True Class: 2\n",
      "Test 1508 Prediction: 2 True Class: 2\n",
      "Test 1509 Prediction: 2 True Class: 2\n",
      "Test 1510 Prediction: 2 True Class: 1\n",
      "Test 1511 Prediction: 2 True Class: 3\n",
      "Test 1512 Prediction: 2 True Class: 1\n",
      "Test 1513 Prediction: 2 True Class: 1\n",
      "Test 1514 Prediction: 2 True Class: 2\n",
      "Test 1515 Prediction: 3 True Class: 2\n",
      "Test 1516 Prediction: 2 True Class: 2\n",
      "Test 1517 Prediction: 3 True Class: 2\n",
      "Test 1518 Prediction: 2 True Class: 3\n",
      "Test 1519 Prediction: 1 True Class: 2\n",
      "Test 1520 Prediction: 2 True Class: 2\n",
      "Test 1521 Prediction: 2 True Class: 3\n",
      "Test 1522 Prediction: 3 True Class: 2\n",
      "Test 1523 Prediction: 1 True Class: 2\n",
      "Test 1524 Prediction: 1 True Class: 2\n",
      "Test 1525 Prediction: 3 True Class: 2\n",
      "Test 1526 Prediction: 4 True Class: 3\n",
      "Test 1527 Prediction: 3 True Class: 2\n",
      "Test 1528 Prediction: 2 True Class: 3\n",
      "Test 1529 Prediction: 2 True Class: 3\n",
      "Test 1530 Prediction: 2 True Class: 3\n",
      "Test 1531 Prediction: 2 True Class: 1\n",
      "Test 1532 Prediction: 2 True Class: 3\n",
      "Test 1533 Prediction: 1 True Class: 2\n",
      "Test 1534 Prediction: 2 True Class: 2\n",
      "Test 1535 Prediction: 1 True Class: 3\n",
      "Test 1536 Prediction: 3 True Class: 1\n",
      "Test 1537 Prediction: 3 True Class: 3\n",
      "Test 1538 Prediction: 3 True Class: 2\n",
      "Test 1539 Prediction: 2 True Class: 3\n",
      "Test 1540 Prediction: 3 True Class: 1\n",
      "Test 1541 Prediction: 2 True Class: 3\n",
      "Test 1542 Prediction: 1 True Class: 1\n",
      "Test 1543 Prediction: 2 True Class: 2\n",
      "Test 1544 Prediction: 2 True Class: 2\n",
      "Test 1545 Prediction: 2 True Class: 2\n",
      "Test 1546 Prediction: 4 True Class: 3\n",
      "Test 1547 Prediction: 3 True Class: 1\n",
      "Test 1548 Prediction: 2 True Class: 3\n",
      "Test 1549 Prediction: 1 True Class: 4\n",
      "Test 1550 Prediction: 2 True Class: 2\n",
      "Test 1551 Prediction: 3 True Class: 2\n",
      "Test 1552 Prediction: 3 True Class: 2\n",
      "Test 1553 Prediction: 1 True Class: 3\n",
      "Test 1554 Prediction: 1 True Class: 1\n",
      "Test 1555 Prediction: 2 True Class: 2\n",
      "Test 1556 Prediction: 1 True Class: 2\n",
      "Test 1557 Prediction: 1 True Class: 2\n",
      "Test 1558 Prediction: 2 True Class: 2\n",
      "Test 1559 Prediction: 2 True Class: 2\n",
      "Test 1560 Prediction: 2 True Class: 3\n",
      "Test 1561 Prediction: 2 True Class: 2\n",
      "Test 1562 Prediction: 3 True Class: 2\n",
      "Test 1563 Prediction: 2 True Class: 2\n",
      "Test 1564 Prediction: 2 True Class: 2\n",
      "Test 1565 Prediction: 2 True Class: 2\n",
      "Test 1566 Prediction: 3 True Class: 2\n",
      "Test 1567 Prediction: 3 True Class: 2\n",
      "Test 1568 Prediction: 1 True Class: 1\n",
      "Test 1569 Prediction: 1 True Class: 2\n",
      "Test 1570 Prediction: 1 True Class: 2\n",
      "Test 1571 Prediction: 1 True Class: 0\n",
      "Test 1572 Prediction: 1 True Class: 3\n",
      "Test 1573 Prediction: 1 True Class: 1\n",
      "Test 1574 Prediction: 1 True Class: 2\n",
      "Test 1575 Prediction: 2 True Class: 2\n",
      "Test 1576 Prediction: 2 True Class: 2\n",
      "Test 1577 Prediction: 2 True Class: 2\n",
      "Test 1578 Prediction: 2 True Class: 2\n",
      "Test 1579 Prediction: 2 True Class: 2\n",
      "Test 1580 Prediction: 2 True Class: 1\n",
      "Test 1581 Prediction: 2 True Class: 2\n",
      "Test 1582 Prediction: 2 True Class: 3\n",
      "Test 1583 Prediction: 2 True Class: 2\n",
      "Test 1584 Prediction: 2 True Class: 2\n",
      "Test 1585 Prediction: 3 True Class: 3\n",
      "Test 1586 Prediction: 2 True Class: 2\n",
      "Test 1587 Prediction: 2 True Class: 2\n",
      "Test 1588 Prediction: 3 True Class: 2\n",
      "Test 1589 Prediction: 3 True Class: 3\n",
      "Test 1590 Prediction: 2 True Class: 2\n",
      "Test 1591 Prediction: 1 True Class: 2\n",
      "Test 1592 Prediction: 3 True Class: 1\n",
      "Test 1593 Prediction: 2 True Class: 2\n",
      "Test 1594 Prediction: 1 True Class: 2\n",
      "Test 1595 Prediction: 1 True Class: 2\n",
      "Test 1596 Prediction: 2 True Class: 2\n",
      "Test 1597 Prediction: 2 True Class: 2\n",
      "Test 1598 Prediction: 2 True Class: 3\n",
      "Test 1599 Prediction: 2 True Class: 2\n",
      "Test 1600 Prediction: 2 True Class: 2\n",
      "Test 1601 Prediction: 2 True Class: 2\n",
      "Test 1602 Prediction: 2 True Class: 1\n",
      "Test 1603 Prediction: 3 True Class: 2\n",
      "Test 1604 Prediction: 3 True Class: 3\n",
      "Test 1605 Prediction: 3 True Class: 3\n",
      "Test 1606 Prediction: 3 True Class: 2\n",
      "Test 1607 Prediction: 2 True Class: 2\n",
      "Test 1608 Prediction: 2 True Class: 2\n",
      "Test 1609 Prediction: 2 True Class: 2\n",
      "Test 1610 Prediction: 2 True Class: 2\n",
      "Test 1611 Prediction: 2 True Class: 3\n",
      "Test 1612 Prediction: 2 True Class: 3\n",
      "Test 1613 Prediction: 3 True Class: 2\n",
      "Test 1614 Prediction: 2 True Class: 2\n",
      "Test 1615 Prediction: 3 True Class: 2\n",
      "Test 1616 Prediction: 3 True Class: 2\n",
      "Test 1617 Prediction: 1 True Class: 2\n",
      "Test 1618 Prediction: 2 True Class: 2\n",
      "Test 1619 Prediction: 2 True Class: 3\n",
      "Test 1620 Prediction: 1 True Class: 3\n",
      "Test 1621 Prediction: 1 True Class: 2\n",
      "Test 1622 Prediction: 1 True Class: 2\n",
      "Test 1623 Prediction: 1 True Class: 1\n",
      "Test 1624 Prediction: 2 True Class: 2\n",
      "Test 1625 Prediction: 2 True Class: 2\n",
      "Test 1626 Prediction: 2 True Class: 2\n",
      "Test 1627 Prediction: 2 True Class: 2\n",
      "Test 1628 Prediction: 2 True Class: 2\n",
      "Test 1629 Prediction: 2 True Class: 2\n",
      "Test 1630 Prediction: 3 True Class: 2\n",
      "Test 1631 Prediction: 3 True Class: 2\n",
      "Test 1632 Prediction: 1 True Class: 3\n",
      "Test 1633 Prediction: 1 True Class: 3\n",
      "Test 1634 Prediction: 2 True Class: 2\n",
      "Test 1635 Prediction: 2 True Class: 1\n",
      "Test 1636 Prediction: 2 True Class: 1\n",
      "Test 1637 Prediction: 2 True Class: 1\n",
      "Test 1638 Prediction: 2 True Class: 1\n",
      "Test 1639 Prediction: 2 True Class: 2\n",
      "Test 1640 Prediction: 2 True Class: 2\n",
      "Test 1641 Prediction: 2 True Class: 2\n",
      "Test 1642 Prediction: 1 True Class: 1\n",
      "Test 1643 Prediction: 2 True Class: 3\n",
      "Test 1644 Prediction: 2 True Class: 1\n",
      "Test 1645 Prediction: 2 True Class: 2\n",
      "Test 1646 Prediction: 2 True Class: 2\n",
      "Test 1647 Prediction: 2 True Class: 2\n",
      "Test 1648 Prediction: 2 True Class: 2\n",
      "Test 1649 Prediction: 2 True Class: 2\n",
      "Test 1650 Prediction: 2 True Class: 2\n",
      "Test 1651 Prediction: 2 True Class: 3\n",
      "Test 1652 Prediction: 3 True Class: 2\n",
      "Test 1653 Prediction: 2 True Class: 2\n",
      "Test 1654 Prediction: 2 True Class: 1\n",
      "Test 1655 Prediction: 2 True Class: 1\n",
      "Test 1656 Prediction: 2 True Class: 2\n",
      "Test 1657 Prediction: 2 True Class: 3\n",
      "Test 1658 Prediction: 2 True Class: 3\n",
      "Test 1659 Prediction: 2 True Class: 1\n",
      "Test 1660 Prediction: 2 True Class: 2\n",
      "Test 1661 Prediction: 2 True Class: 3\n",
      "Test 1662 Prediction: 2 True Class: 2\n",
      "Test 1663 Prediction: 2 True Class: 2\n",
      "Test 1664 Prediction: 2 True Class: 1\n",
      "Test 1665 Prediction: 2 True Class: 1\n",
      "Test 1666 Prediction: 2 True Class: 2\n",
      "Test 1667 Prediction: 2 True Class: 2\n",
      "Test 1668 Prediction: 2 True Class: 2\n",
      "Test 1669 Prediction: 2 True Class: 2\n",
      "Test 1670 Prediction: 2 True Class: 2\n",
      "Test 1671 Prediction: 2 True Class: 2\n",
      "Test 1672 Prediction: 2 True Class: 2\n",
      "Test 1673 Prediction: 2 True Class: 2\n",
      "Test 1674 Prediction: 2 True Class: 2\n",
      "Test 1675 Prediction: 2 True Class: 2\n",
      "Test 1676 Prediction: 2 True Class: 2\n",
      "Test 1677 Prediction: 3 True Class: 2\n",
      "Test 1678 Prediction: 2 True Class: 1\n",
      "Test 1679 Prediction: 3 True Class: 3\n",
      "Test 1680 Prediction: 2 True Class: 2\n",
      "Test 1681 Prediction: 1 True Class: 1\n",
      "Test 1682 Prediction: 2 True Class: 3\n",
      "Test 1683 Prediction: 2 True Class: 2\n",
      "Test 1684 Prediction: 2 True Class: 1\n",
      "Test 1685 Prediction: 2 True Class: 2\n",
      "Test 1686 Prediction: 2 True Class: 2\n",
      "Test 1687 Prediction: 2 True Class: 3\n",
      "Test 1688 Prediction: 2 True Class: 2\n",
      "Test 1689 Prediction: 2 True Class: 2\n",
      "Test 1690 Prediction: 2 True Class: 2\n",
      "Test 1691 Prediction: 2 True Class: 2\n",
      "Test 1692 Prediction: 2 True Class: 2\n",
      "Test 1693 Prediction: 2 True Class: 2\n",
      "Test 1694 Prediction: 2 True Class: 2\n",
      "Test 1695 Prediction: 2 True Class: 2\n",
      "Test 1696 Prediction: 3 True Class: 2\n",
      "Test 1697 Prediction: 3 True Class: 2\n",
      "Test 1698 Prediction: 1 True Class: 2\n",
      "Test 1699 Prediction: 4 True Class: 1\n",
      "Test 1700 Prediction: 2 True Class: 4\n",
      "Test 1701 Prediction: 2 True Class: 3\n",
      "Test 1702 Prediction: 2 True Class: 2\n",
      "Test 1703 Prediction: 2 True Class: 2\n",
      "Test 1704 Prediction: 2 True Class: 2\n",
      "Test 1705 Prediction: 2 True Class: 2\n",
      "Test 1706 Prediction: 2 True Class: 2\n",
      "Test 1707 Prediction: 2 True Class: 3\n",
      "Test 1708 Prediction: 2 True Class: 2\n",
      "Test 1709 Prediction: 1 True Class: 2\n",
      "Test 1710 Prediction: 2 True Class: 2\n",
      "Test 1711 Prediction: 2 True Class: 2\n",
      "Test 1712 Prediction: 2 True Class: 2\n",
      "Test 1713 Prediction: 2 True Class: 2\n",
      "Test 1714 Prediction: 2 True Class: 2\n",
      "Test 1715 Prediction: 3 True Class: 2\n",
      "Test 1716 Prediction: 2 True Class: 2\n",
      "Test 1717 Prediction: 2 True Class: 2\n",
      "Test 1718 Prediction: 2 True Class: 2\n",
      "Test 1719 Prediction: 3 True Class: 3\n",
      "Test 1720 Prediction: 3 True Class: 3\n",
      "Test 1721 Prediction: 2 True Class: 2\n",
      "Test 1722 Prediction: 2 True Class: 1\n",
      "Test 1723 Prediction: 2 True Class: 3\n",
      "Test 1724 Prediction: 1 True Class: 1\n",
      "Test 1725 Prediction: 2 True Class: 2\n",
      "Test 1726 Prediction: 1 True Class: 3\n",
      "Test 1727 Prediction: 2 True Class: 2\n",
      "Test 1728 Prediction: 2 True Class: 2\n",
      "Test 1729 Prediction: 2 True Class: 2\n",
      "Test 1730 Prediction: 3 True Class: 3\n",
      "Test 1731 Prediction: 2 True Class: 2\n",
      "Test 1732 Prediction: 3 True Class: 2\n",
      "Test 1733 Prediction: 3 True Class: 2\n",
      "Test 1734 Prediction: 2 True Class: 3\n",
      "Test 1735 Prediction: 3 True Class: 2\n",
      "Test 1736 Prediction: 2 True Class: 1\n",
      "Test 1737 Prediction: 1 True Class: 2\n",
      "Test 1738 Prediction: 2 True Class: 2\n",
      "Test 1739 Prediction: 2 True Class: 2\n",
      "Test 1740 Prediction: 3 True Class: 2\n",
      "Test 1741 Prediction: 2 True Class: 2\n",
      "Test 1742 Prediction: 2 True Class: 2\n",
      "Test 1743 Prediction: 2 True Class: 2\n",
      "Test 1744 Prediction: 3 True Class: 2\n",
      "Test 1745 Prediction: 3 True Class: 3\n",
      "Test 1746 Prediction: 3 True Class: 2\n",
      "Test 1747 Prediction: 2 True Class: 3\n",
      "Test 1748 Prediction: 1 True Class: 2\n",
      "Test 1749 Prediction: 0 True Class: 3\n",
      "Test 1750 Prediction: 1 True Class: 3\n",
      "Test 1751 Prediction: 1 True Class: 1\n",
      "Test 1752 Prediction: 1 True Class: 3\n",
      "Test 1753 Prediction: 3 True Class: 1\n",
      "Test 1754 Prediction: 2 True Class: 2\n",
      "Test 1755 Prediction: 2 True Class: 2\n",
      "Test 1756 Prediction: 2 True Class: 2\n",
      "Test 1757 Prediction: 1 True Class: 2\n",
      "Test 1758 Prediction: 1 True Class: 2\n",
      "Test 1759 Prediction: 2 True Class: 2\n",
      "Test 1760 Prediction: 3 True Class: 2\n",
      "Test 1761 Prediction: 1 True Class: 1\n",
      "Test 1762 Prediction: 1 True Class: 0\n",
      "Test 1763 Prediction: 1 True Class: 1\n",
      "Test 1764 Prediction: 1 True Class: 2\n",
      "Test 1765 Prediction: 1 True Class: 2\n",
      "Test 1766 Prediction: 2 True Class: 1\n",
      "Test 1767 Prediction: 0 True Class: 1\n",
      "Test 1768 Prediction: 0 True Class: 0\n",
      "Test 1769 Prediction: 1 True Class: 2\n",
      "Test 1770 Prediction: 1 True Class: 3\n",
      "Test 1771 Prediction: 1 True Class: 2\n",
      "Test 1772 Prediction: 0 True Class: 3\n",
      "Test 1773 Prediction: 1 True Class: 2\n",
      "Test 1774 Prediction: 1 True Class: 1\n",
      "Test 1775 Prediction: 1 True Class: 1\n",
      "Test 1776 Prediction: 1 True Class: 3\n",
      "Test 1777 Prediction: 2 True Class: 3\n",
      "Test 1778 Prediction: 1 True Class: 2\n",
      "Test 1779 Prediction: 1 True Class: 1\n",
      "Test 1780 Prediction: 1 True Class: 1\n",
      "Test 1781 Prediction: 0 True Class: 1\n",
      "Test 1782 Prediction: 2 True Class: 3\n",
      "Test 1783 Prediction: 0 True Class: 0\n",
      "Test 1784 Prediction: 2 True Class: 2\n",
      "Test 1785 Prediction: 2 True Class: 3\n",
      "Test 1786 Prediction: 2 True Class: 2\n",
      "Test 1787 Prediction: 2 True Class: 2\n",
      "Test 1788 Prediction: 3 True Class: 1\n",
      "Test 1789 Prediction: 3 True Class: 2\n",
      "Test 1790 Prediction: 2 True Class: 3\n",
      "Test 1791 Prediction: 3 True Class: 2\n",
      "Test 1792 Prediction: 3 True Class: 2\n",
      "Test 1793 Prediction: 1 True Class: 2\n",
      "Test 1794 Prediction: 1 True Class: 2\n",
      "Test 1795 Prediction: 2 True Class: 2\n",
      "Test 1796 Prediction: 1 True Class: 1\n",
      "Test 1797 Prediction: 2 True Class: 2\n",
      "Test 1798 Prediction: 2 True Class: 1\n",
      "Test 1799 Prediction: 2 True Class: 3\n",
      "Test 1800 Prediction: 2 True Class: 2\n",
      "Test 1801 Prediction: 2 True Class: 3\n",
      "Test 1802 Prediction: 2 True Class: 2\n",
      "Test 1803 Prediction: 2 True Class: 2\n",
      "Test 1804 Prediction: 2 True Class: 2\n",
      "Test 1805 Prediction: 2 True Class: 2\n",
      "Test 1806 Prediction: 2 True Class: 2\n",
      "Test 1807 Prediction: 1 True Class: 2\n",
      "Test 1808 Prediction: 2 True Class: 2\n",
      "Test 1809 Prediction: 1 True Class: 2\n",
      "Test 1810 Prediction: 1 True Class: 3\n",
      "Test 1811 Prediction: 1 True Class: 3\n",
      "Test 1812 Prediction: 1 True Class: 2\n",
      "Test 1813 Prediction: 1 True Class: 2\n",
      "Test 1814 Prediction: 1 True Class: 2\n",
      "Test 1815 Prediction: 1 True Class: 1\n",
      "Test 1816 Prediction: 1 True Class: 1\n",
      "Test 1817 Prediction: 1 True Class: 2\n",
      "Test 1818 Prediction: 3 True Class: 1\n",
      "Test 1819 Prediction: 3 True Class: 1\n",
      "Test 1820 Prediction: 3 True Class: 3\n",
      "Test 1821 Prediction: 3 True Class: 2\n",
      "Test 1822 Prediction: 3 True Class: 2\n",
      "Test 1823 Prediction: 1 True Class: 2\n",
      "Test 1824 Prediction: 1 True Class: 2\n",
      "Test 1825 Prediction: 1 True Class: 2\n",
      "Test 1826 Prediction: 1 True Class: 2\n",
      "Test 1827 Prediction: 2 True Class: 2\n",
      "Test 1828 Prediction: 1 True Class: 0\n",
      "Test 1829 Prediction: 1 True Class: 3\n",
      "Test 1830 Prediction: 2 True Class: 1\n",
      "Test 1831 Prediction: 2 True Class: 1\n",
      "Test 1832 Prediction: 3 True Class: 2\n",
      "Test 1833 Prediction: 3 True Class: 2\n",
      "Test 1834 Prediction: 2 True Class: 2\n",
      "Test 1835 Prediction: 2 True Class: 2\n",
      "Test 1836 Prediction: 2 True Class: 2\n",
      "Test 1837 Prediction: 1 True Class: 1\n",
      "Test 1838 Prediction: 1 True Class: 1\n",
      "Test 1839 Prediction: 2 True Class: 2\n",
      "Test 1840 Prediction: 2 True Class: 2\n",
      "Test 1841 Prediction: 1 True Class: 2\n",
      "Test 1842 Prediction: 1 True Class: 2\n",
      "Test 1843 Prediction: 2 True Class: 1\n",
      "Test 1844 Prediction: 3 True Class: 2\n",
      "Test 1845 Prediction: 3 True Class: 2\n",
      "Test 1846 Prediction: 3 True Class: 3\n",
      "Test 1847 Prediction: 3 True Class: 2\n",
      "Test 1848 Prediction: 2 True Class: 1\n",
      "Test 1849 Prediction: 2 True Class: 2\n",
      "Test 1850 Prediction: 2 True Class: 2\n",
      "Test 1851 Prediction: 2 True Class: 2\n",
      "Test 1852 Prediction: 1 True Class: 2\n",
      "Test 1853 Prediction: 3 True Class: 2\n",
      "Test 1854 Prediction: 3 True Class: 3\n",
      "Test 1855 Prediction: 2 True Class: 2\n",
      "Test 1856 Prediction: 2 True Class: 3\n",
      "Test 1857 Prediction: 2 True Class: 3\n",
      "Test 1858 Prediction: 1 True Class: 2\n",
      "Test 1859 Prediction: 1 True Class: 2\n",
      "Test 1860 Prediction: 3 True Class: 2\n",
      "Test 1861 Prediction: 1 True Class: 2\n",
      "Test 1862 Prediction: 2 True Class: 1\n",
      "Test 1863 Prediction: 1 True Class: 2\n",
      "Test 1864 Prediction: 2 True Class: 2\n",
      "Test 1865 Prediction: 1 True Class: 3\n",
      "Test 1866 Prediction: 0 True Class: 2\n",
      "Test 1867 Prediction: 2 True Class: 2\n",
      "Test 1868 Prediction: 3 True Class: 2\n",
      "Test 1869 Prediction: 3 True Class: 2\n",
      "Test 1870 Prediction: 2 True Class: 2\n",
      "Test 1871 Prediction: 0 True Class: 3\n",
      "Test 1872 Prediction: 2 True Class: 2\n",
      "Test 1873 Prediction: 3 True Class: 2\n",
      "Test 1874 Prediction: 3 True Class: 2\n",
      "Test 1875 Prediction: 1 True Class: 1\n",
      "Test 1876 Prediction: 1 True Class: 1\n",
      "Test 1877 Prediction: 1 True Class: 2\n",
      "Test 1878 Prediction: 3 True Class: 1\n",
      "Test 1879 Prediction: 1 True Class: 2\n",
      "Test 1880 Prediction: 1 True Class: 2\n",
      "Test 1881 Prediction: 3 True Class: 2\n",
      "Test 1882 Prediction: 3 True Class: 3\n",
      "Test 1883 Prediction: 3 True Class: 2\n",
      "Test 1884 Prediction: 0 True Class: 3\n",
      "Test 1885 Prediction: 2 True Class: 2\n",
      "Test 1886 Prediction: 3 True Class: 2\n",
      "Test 1887 Prediction: 3 True Class: 2\n",
      "Test 1888 Prediction: 0 True Class: 2\n",
      "Test 1889 Prediction: 2 True Class: 2\n",
      "Test 1890 Prediction: 2 True Class: 2\n",
      "Test 1891 Prediction: 0 True Class: 1\n",
      "Test 1892 Prediction: 1 True Class: 1\n",
      "Test 1893 Prediction: 2 True Class: 3\n",
      "Test 1894 Prediction: 2 True Class: 1\n",
      "Test 1895 Prediction: 2 True Class: 2\n",
      "Test 1896 Prediction: 3 True Class: 2\n",
      "Test 1897 Prediction: 2 True Class: 2\n",
      "Test 1898 Prediction: 3 True Class: 2\n",
      "Test 1899 Prediction: 3 True Class: 2\n",
      "Test 1900 Prediction: 2 True Class: 2\n",
      "Test 1901 Prediction: 3 True Class: 2\n",
      "Test 1902 Prediction: 2 True Class: 3\n",
      "Test 1903 Prediction: 2 True Class: 2\n",
      "Test 1904 Prediction: 2 True Class: 2\n",
      "Test 1905 Prediction: 2 True Class: 2\n",
      "Test 1906 Prediction: 2 True Class: 2\n",
      "Test 1907 Prediction: 3 True Class: 2\n",
      "Test 1908 Prediction: 2 True Class: 2\n",
      "Test 1909 Prediction: 2 True Class: 2\n",
      "Test 1910 Prediction: 3 True Class: 3\n",
      "Test 1911 Prediction: 1 True Class: 3\n",
      "Test 1912 Prediction: 1 True Class: 2\n",
      "Test 1913 Prediction: 4 True Class: 2\n",
      "Test 1914 Prediction: 4 True Class: 2\n",
      "Test 1915 Prediction: 4 True Class: 3\n",
      "Test 1916 Prediction: 2 True Class: 2\n",
      "Test 1917 Prediction: 2 True Class: 2\n",
      "Test 1918 Prediction: 0 True Class: 3\n",
      "Test 1919 Prediction: 2 True Class: 2\n",
      "Test 1920 Prediction: 3 True Class: 1\n",
      "Test 1921 Prediction: 3 True Class: 2\n",
      "Test 1922 Prediction: 3 True Class: 2\n",
      "Test 1923 Prediction: 3 True Class: 1\n",
      "Test 1924 Prediction: 1 True Class: 2\n",
      "Test 1925 Prediction: 3 True Class: 2\n",
      "Test 1926 Prediction: 3 True Class: 2\n",
      "Test 1927 Prediction: 3 True Class: 2\n",
      "Test 1928 Prediction: 3 True Class: 2\n",
      "Test 1929 Prediction: 2 True Class: 2\n",
      "Test 1930 Prediction: 3 True Class: 2\n",
      "Test 1931 Prediction: 1 True Class: 3\n",
      "Test 1932 Prediction: 2 True Class: 3\n",
      "Test 1933 Prediction: 3 True Class: 2\n",
      "Test 1934 Prediction: 3 True Class: 2\n",
      "Test 1935 Prediction: 3 True Class: 1\n",
      "Test 1936 Prediction: 2 True Class: 3\n",
      "Test 1937 Prediction: 0 True Class: 1\n",
      "Test 1938 Prediction: 1 True Class: 2\n",
      "Test 1939 Prediction: 2 True Class: 2\n",
      "Test 1940 Prediction: 1 True Class: 3\n",
      "Test 1941 Prediction: 2 True Class: 3\n",
      "Test 1942 Prediction: 3 True Class: 3\n",
      "Test 1943 Prediction: 3 True Class: 3\n",
      "Test 1944 Prediction: 2 True Class: 2\n",
      "Test 1945 Prediction: 3 True Class: 2\n",
      "Test 1946 Prediction: 3 True Class: 2\n",
      "Test 1947 Prediction: 2 True Class: 2\n",
      "Test 1948 Prediction: 2 True Class: 2\n",
      "Test 1949 Prediction: 3 True Class: 2\n",
      "Test 1950 Prediction: 3 True Class: 3\n",
      "Test 1951 Prediction: 3 True Class: 2\n",
      "Test 1952 Prediction: 1 True Class: 1\n",
      "Test 1953 Prediction: 3 True Class: 2\n",
      "Test 1954 Prediction: 3 True Class: 2\n",
      "Test 1955 Prediction: 3 True Class: 2\n",
      "Test 1956 Prediction: 1 True Class: 2\n",
      "Test 1957 Prediction: 3 True Class: 2\n",
      "Test 1958 Prediction: 3 True Class: 1\n",
      "Test 1959 Prediction: 3 True Class: 2\n",
      "Test 1960 Prediction: 3 True Class: 3\n",
      "Test 1961 Prediction: 3 True Class: 2\n",
      "Test 1962 Prediction: 2 True Class: 2\n",
      "Test 1963 Prediction: 2 True Class: 2\n",
      "Test 1964 Prediction: 2 True Class: 2\n",
      "Test 1965 Prediction: 0 True Class: 3\n",
      "Test 1966 Prediction: 3 True Class: 3\n",
      "Test 1967 Prediction: 2 True Class: 2\n",
      "Test 1968 Prediction: 2 True Class: 2\n",
      "Test 1969 Prediction: 2 True Class: 2\n",
      "Test 1970 Prediction: 1 True Class: 1\n",
      "Test 1971 Prediction: 3 True Class: 2\n",
      "Test 1972 Prediction: 1 True Class: 2\n",
      "Test 1973 Prediction: 2 True Class: 2\n",
      "Test 1974 Prediction: 2 True Class: 2\n",
      "Test 1975 Prediction: 0 True Class: 2\n",
      "Test 1976 Prediction: 0 True Class: 1\n",
      "Test 1977 Prediction: 2 True Class: 2\n",
      "Test 1978 Prediction: 2 True Class: 2\n",
      "Test 1979 Prediction: 2 True Class: 1\n",
      "Test 1980 Prediction: 2 True Class: 2\n",
      "Test 1981 Prediction: 2 True Class: 2\n",
      "Test 1982 Prediction: 2 True Class: 2\n",
      "Test 1983 Prediction: 2 True Class: 2\n",
      "Test 1984 Prediction: 2 True Class: 2\n",
      "Test 1985 Prediction: 2 True Class: 2\n",
      "Test 1986 Prediction: 3 True Class: 3\n",
      "Test 1987 Prediction: 3 True Class: 2\n",
      "Test 1988 Prediction: 2 True Class: 2\n",
      "Test 1989 Prediction: 1 True Class: 2\n",
      "Test 1990 Prediction: 1 True Class: 3\n",
      "Test 1991 Prediction: 1 True Class: 3\n",
      "Test 1992 Prediction: 1 True Class: 3\n",
      "Test 1993 Prediction: 2 True Class: 2\n",
      "Test 1994 Prediction: 2 True Class: 2\n",
      "Test 1995 Prediction: 2 True Class: 2\n",
      "Test 1996 Prediction: 1 True Class: 3\n",
      "Test 1997 Prediction: 0 True Class: 4\n",
      "Test 1998 Prediction: 0 True Class: 1\n",
      "Test 1999 Prediction: 0 True Class: 3\n",
      "Done!\n"
     ]
    }
   ],
   "source": [
    "# 所有测试数据，预测类别与实际类别的对比\n",
    "for i in range(len(test_data)):  \n",
    "        # 索引即为相似度最大的标签值\n",
    "    nn_index = sess.run(pred1, feed_dict={xtr1: Xtr3, xte1: Xte3[i,:]})  \n",
    "        # 打印出对应的预测标签和实际标签\n",
    "    print \"Test\", i, \"Prediction:\", np.argmax(train_label[nn_index]), \"True Class:\", np.argmax(test_label[i])  \n",
    "\n",
    "print \"Done!\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 将所有的分类列成数组\n",
    "pred_class = []\n",
    "real_class = []\n",
    "for i in range(len(test_data)):  \n",
    "        # 索引即为相似度最大的标签值\n",
    "    nn_index = sess.run(pred1, feed_dict={xtr1: Xtr3, xte1: Xte3[i,:]})  \n",
    "        # 打印出对应的预测标签和实际标签\n",
    "    pred_class_eve = np.argmax(train_label[nn_index])\n",
    "    real_class_eve = np.argmax(test_label[i])\n",
    "    pred_class.append(pred_class_eve)\n",
    "    real_class.append(real_class_eve)\n",
    "\n",
    "pred_class = np.array(pred_class)\n",
    "real_class = np.array(real_class)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.出现大涨趋势时，持续时间（出现下一个下跌趋势之前的时间）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[3,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 4,\n",
       " 3,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 0,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 4,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 4,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 0,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 1,\n",
       " 0,\n",
       " 0,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 0,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 0,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 0,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 0,\n",
       " 0,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 0,\n",
       " 0,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 0,\n",
       " 0,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 0,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 4,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 4,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 0,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 0,\n",
       " 1,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 0,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 3,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 3,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 3,\n",
       " 4,\n",
       " 4,\n",
       " 3,\n",
       " 3,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 0,\n",
       " 1,\n",
       " 0,\n",
       " 1,\n",
       " 2,\n",
       " 1,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 2,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " 1,\n",
       " ...]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_class1 = pred_class.tolist()\n",
    "pred_class1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  60,  159,  165,  166,  184,  235,  247,  248,  249,  250,  256,\n",
       "        385,  386,  390,  427,  428,  536,  810,  821,  835,  985,  987,\n",
       "       1000, 1072, 1073, 1075, 1168, 1285, 1749, 1767, 1768, 1772, 1781,\n",
       "       1783, 1866, 1871, 1884, 1888, 1891, 1918, 1937, 1965, 1975, 1976,\n",
       "       1997, 1998, 1999])"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 找到所有大涨趋势的时间点\n",
    "def find_all_index(arr,item):\n",
    "    return [i for i,a in enumerate(arr) if a==item]\n",
    "# pred_class1.find(0,0,1999)\n",
    "highraise_locate = find_all_index(pred_class,0)\n",
    "highraise_locate = np.array(highraise_locate)\n",
    "highraise_locate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_class[390]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 6,  2,  3,  2,  3, 17,  5,  4,  3,  2, 18,  8,  7,  3,  3,  2,  3,\n",
       "        3,  2, 12, 19, 17,  4,  9,  8,  6,  2,  5,  4, 21, 20, 16,  7,  5,\n",
       "        2,  2,  2,  8,  5,  2,  5,  1, 11, 10])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 统计每个大涨趋势后30分钟（趋势一般不会超过30分钟）的趋势，如果不下跌就一直累加，直到下一分钟为下跌趋势为止。\n",
    "# 这就代表了每个大涨趋势的涨持时间\n",
    "# 很明显最后三个数据点的预测值和实际值相差很大，这很可能是与最后几个独立点难以构成时间序列有关，因此将最后三个数据点去除\n",
    "count_highraise = []\n",
    "num_highraise = 1\n",
    "for i  in highraise_locate[:-3]:\n",
    "    num_highraise = 1\n",
    "    for j in range(30):\n",
    "#     while pred_class[i+j+1] < 2000:\n",
    "        if pred_class[i+j+1] == 0 or pred_class[i+j+1] == 1 or pred_class[i+j+1] == 2:\n",
    "            num_highraise += 1\n",
    "        else:\n",
    "            break\n",
    "    count_highraise.append(num_highraise)\n",
    "count_highraise = np.array(count_highraise)\n",
    "count_highraise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(44,)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_highraise.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "预测大涨持续时间：\n",
      "第 60 分钟为大涨趋势，直到 6 分钟后开始下跌\n",
      "第 159 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 165 分钟为大涨趋势，直到 3 分钟后开始下跌\n",
      "第 166 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 184 分钟为大涨趋势，直到 3 分钟后开始下跌\n",
      "第 235 分钟为大涨趋势，直到 17 分钟后开始下跌\n",
      "第 247 分钟为大涨趋势，直到 5 分钟后开始下跌\n",
      "第 248 分钟为大涨趋势，直到 4 分钟后开始下跌\n",
      "第 249 分钟为大涨趋势，直到 3 分钟后开始下跌\n",
      "第 250 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 256 分钟为大涨趋势，直到 18 分钟后开始下跌\n",
      "第 385 分钟为大涨趋势，直到 8 分钟后开始下跌\n",
      "第 386 分钟为大涨趋势，直到 7 分钟后开始下跌\n",
      "第 390 分钟为大涨趋势，直到 3 分钟后开始下跌\n",
      "第 427 分钟为大涨趋势，直到 3 分钟后开始下跌\n",
      "第 428 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 536 分钟为大涨趋势，直到 3 分钟后开始下跌\n",
      "第 810 分钟为大涨趋势，直到 3 分钟后开始下跌\n",
      "第 821 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 835 分钟为大涨趋势，直到 12 分钟后开始下跌\n",
      "第 985 分钟为大涨趋势，直到 19 分钟后开始下跌\n",
      "第 987 分钟为大涨趋势，直到 17 分钟后开始下跌\n",
      "第 1000 分钟为大涨趋势，直到 4 分钟后开始下跌\n",
      "第 1072 分钟为大涨趋势，直到 9 分钟后开始下跌\n",
      "第 1073 分钟为大涨趋势，直到 8 分钟后开始下跌\n",
      "第 1075 分钟为大涨趋势，直到 6 分钟后开始下跌\n",
      "第 1168 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 1285 分钟为大涨趋势，直到 5 分钟后开始下跌\n",
      "第 1749 分钟为大涨趋势，直到 4 分钟后开始下跌\n",
      "第 1767 分钟为大涨趋势，直到 21 分钟后开始下跌\n",
      "第 1768 分钟为大涨趋势，直到 20 分钟后开始下跌\n",
      "第 1772 分钟为大涨趋势，直到 16 分钟后开始下跌\n",
      "第 1781 分钟为大涨趋势，直到 7 分钟后开始下跌\n",
      "第 1783 分钟为大涨趋势，直到 5 分钟后开始下跌\n",
      "第 1866 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 1871 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 1884 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 1888 分钟为大涨趋势，直到 8 分钟后开始下跌\n",
      "第 1891 分钟为大涨趋势，直到 5 分钟后开始下跌\n",
      "第 1918 分钟为大涨趋势，直到 2 分钟后开始下跌\n",
      "第 1937 分钟为大涨趋势，直到 5 分钟后开始下跌\n",
      "第 1965 分钟为大涨趋势，直到 1 分钟后开始下跌\n",
      "第 1975 分钟为大涨趋势，直到 11 分钟后开始下跌\n",
      "第 1976 分钟为大涨趋势，直到 10 分钟后开始下跌\n"
     ]
    }
   ],
   "source": [
    "# 输出预测结果\n",
    "j = 0\n",
    "print u'预测大涨持续时间：'\n",
    "for i  in highraise_locate[:-3]:\n",
    "    print \"第\", i,\"分钟为大涨趋势，直到\",count_highraise[j],\"分钟后开始下跌\"\n",
    "    j += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuary: 0.318181818182\n"
     ]
    }
   ],
   "source": [
    "# 计算大涨情况下持续时间的准确率\n",
    "# 因为我们预测的大涨起始时间点本来就有一定错误差，如果严格对比实际值的持续时间长短，准确率会特别低\n",
    "# 所以选择如下评定准确率方法：在我们预测的涨持时间段内，只要实际值不出现下跌时间点，就判定为该时间段预测正确。\n",
    "# 准确率就是预测准确的时间段与预测的全部大涨时间段的比值。\n",
    "j = 0\n",
    "highraise_acc = 0.\n",
    "for i in highraise_locate[:-3]:\n",
    "    j += 1\n",
    "    isTrue = 1\n",
    "    for k in range(count_highraise[j-1]):\n",
    "        if real_class[i+k] == 3 or real_class[i+k] == 4:\n",
    "            isTrue = 0\n",
    "            break\n",
    "    if isTrue == 1:\n",
    "        highraise_acc += 1./(len(highraise_locate) - 3) \n",
    "print \"accuary:\", highraise_acc\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.出现大跌趋势时，持续时间（出现下一个上涨趋势之前的时间）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[19,\n",
       " 121,\n",
       " 126,\n",
       " 131,\n",
       " 187,\n",
       " 632,\n",
       " 673,\n",
       " 783,\n",
       " 957,\n",
       " 1188,\n",
       " 1377,\n",
       " 1466,\n",
       " 1526,\n",
       " 1546,\n",
       " 1699,\n",
       " 1913,\n",
       " 1914,\n",
       " 1915]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 找到所有大跌趋势的时间点\n",
    "def find_all_index(arr,item):\n",
    "    return [i for i,a in enumerate(arr) if a==item]\n",
    "# pred_class1.find(0,0,1999)\n",
    "highdown_locate = find_all_index(pred_class,4)\n",
    "highdown_locate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_class[957]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3, 1, 4, 2, 1, 3, 1, 2, 3, 2, 1, 2, 2, 2, 1, 3, 2, 1])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 统计每个大跌趋势后30分钟（趋势一般不会超过30分钟）的趋势，如果不上涨就一直累加，直到下一分钟为上涨趋势为止。\n",
    "# 这就代表了每个大跌趋势的跌持时间\n",
    "count_highdown = []\n",
    "num_highdown = 1\n",
    "for i  in highdown_locate:\n",
    "    num_highdown = 1\n",
    "    for j in range(30):\n",
    "#     while pred_class[i+j+1] < 2000:\n",
    "        if pred_class[i+j+1] == 0 or pred_class[i+j+1] == 3 or pred_class[i+j+1] == 4:\n",
    "            num_highdown += 1\n",
    "        else:\n",
    "            break\n",
    "    count_highdown.append(num_highdown)\n",
    "count_highdown = np.array(count_highdown)\n",
    "count_highdown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18,)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_highdown.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "预测大跌持续时间：\n",
      "第 19 分钟为大跌趋势，直到 3 分钟后开始上涨\n",
      "第 121 分钟为大跌趋势，直到 1 分钟后开始上涨\n",
      "第 126 分钟为大跌趋势，直到 4 分钟后开始上涨\n",
      "第 131 分钟为大跌趋势，直到 2 分钟后开始上涨\n",
      "第 187 分钟为大跌趋势，直到 1 分钟后开始上涨\n",
      "第 632 分钟为大跌趋势，直到 3 分钟后开始上涨\n",
      "第 673 分钟为大跌趋势，直到 1 分钟后开始上涨\n",
      "第 783 分钟为大跌趋势，直到 2 分钟后开始上涨\n",
      "第 957 分钟为大跌趋势，直到 3 分钟后开始上涨\n",
      "第 1188 分钟为大跌趋势，直到 2 分钟后开始上涨\n",
      "第 1377 分钟为大跌趋势，直到 1 分钟后开始上涨\n",
      "第 1466 分钟为大跌趋势，直到 2 分钟后开始上涨\n",
      "第 1526 分钟为大跌趋势，直到 2 分钟后开始上涨\n",
      "第 1546 分钟为大跌趋势，直到 2 分钟后开始上涨\n",
      "第 1699 分钟为大跌趋势，直到 1 分钟后开始上涨\n",
      "第 1913 分钟为大跌趋势，直到 3 分钟后开始上涨\n",
      "第 1914 分钟为大跌趋势，直到 2 分钟后开始上涨\n",
      "第 1915 分钟为大跌趋势，直到 1 分钟后开始上涨\n"
     ]
    }
   ],
   "source": [
    "j = 0\n",
    "print u'预测大跌持续时间：'\n",
    "for i  in highdown_locate:\n",
    "    print \"第\", i,\"分钟为大跌趋势，直到\",count_highdown[j],\"分钟后开始上涨\"\n",
    "    j += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuary: 0.833333333333\n"
     ]
    }
   ],
   "source": [
    "# 计算大跌情况下持续时间的准确率\n",
    "# 计算方法与大涨情况相同\n",
    "j = 0\n",
    "highdown_acc = 0.\n",
    "for i in highdown_locate:\n",
    "    j += 1\n",
    "    isTrue = 1\n",
    "    for k in range(count_highdown[j-1]):\n",
    "        if real_class[i+k] == 0 or real_class[i+k] == 1 :\n",
    "            isTrue = 0\n",
    "            break\n",
    "    if isTrue == 1:\n",
    "        highdown_acc += 1./(len(highdown_locate)) \n",
    "print \"accuary:\", highdown_acc\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2857142857142857"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2./7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 进行最高价的分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20000, 5, 32)"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train1_data = seq_5[2000:22000]\n",
    "train1_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20000, 10)"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = data[2000:22000]\n",
    "train1_label = []\n",
    "for i in data3['MaxPrice']:\n",
    "    if i < 3100:\n",
    "        train1_label.append([1,0,0,0,0,0,0,0,0,0])   # 最高价 < 2800\n",
    "    elif i < 3110:\n",
    "        train1_label.append([0,1,0,0,0,0,0,0,0,0])   # 最高价 2800~2900\n",
    "    elif i < 3120: \n",
    "        train1_label.append([0,0,1,0,0,0,0,0,0,0])   # 最高价 2900~3000\n",
    "    elif i < 3130:\n",
    "        train1_label.append([0,0,0,1,0,0,0,0,0,0])   # 最高价 3000~3100\n",
    "    elif i < 3140:\n",
    "        train1_label.append([0,0,0,0,1,0,0,0,0,0])   # 最高价 3100~3200\n",
    "    elif i < 3150:\n",
    "        train1_label.append([0,0,0,0,0,1,0,0,0,0])   # 最高价 3200~3300\n",
    "    elif i < 3160:\n",
    "        train1_label.append([0,0,0,0,0,0,1,0,0,0])   # 最高价 3300~3400\n",
    "    elif i < 3170:\n",
    "        train1_label.append([0,0,0,0,0,0,0,1,0,0])   # 最高价 3400~3500\n",
    "    elif i < 3180:\n",
    "        train1_label.append([0,0,0,0,0,0,0,0,1,0])   # 最高价 3500~3600\n",
    "    else:\n",
    "        train1_label.append([0,0,0,0,0,0,0,0,0,1])   # 最高价 > 3600\n",
    "    \n",
    "train1_label = np.array(train1_label)\n",
    "train1_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11615\n",
      "267\n",
      "421\n",
      "655\n",
      "1086\n",
      "598\n",
      "403\n",
      "400\n",
      "587\n",
      "3968\n"
     ]
    }
   ],
   "source": [
    "train1_label_list = train1_label.tolist()\n",
    "print train1_label_list.count([1,0,0,0,0,0,0,0,0,0])  \n",
    "print train1_label_list.count([0,1,0,0,0,0,0,0,0,0]) \n",
    "print train1_label_list.count([0,0,1,0,0,0,0,0,0,0]) \n",
    "print train1_label_list.count([0,0,0,1,0,0,0,0,0,0])\n",
    "print train1_label_list.count([0,0,0,0,1,0,0,0,0,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,1,0,0,0,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,0,1,0,0,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,0,0,1,0,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,0,0,0,1,0]) \n",
    "print train1_label_list.count([0,0,0,0,0,0,0,0,0,1]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 5, 32)"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test1_data = seq_5[22000:23000]\n",
    "test1_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 10)"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data4 = data[22000:23000]\n",
    "test1_label = []\n",
    "for i in data4['MaxPrice']:\n",
    "    if i < 3100:\n",
    "        test1_label.append([1,0,0,0,0,0,0,0,0,0])   # 最高价 < 2800\n",
    "    elif i < 3110:\n",
    "        test1_label.append([0,1,0,0,0,0,0,0,0,0])   # 最高价 2800~2900\n",
    "    elif i < 3120: \n",
    "        test1_label.append([0,0,1,0,0,0,0,0,0,0])   # 最高价 2900~3000\n",
    "    elif i < 3130:\n",
    "        test1_label.append([0,0,0,1,0,0,0,0,0,0])   # 最高价 3000~3100\n",
    "    elif i < 3140:\n",
    "        test1_label.append([0,0,0,0,1,0,0,0,0,0])   # 最高价 3100~3200\n",
    "    elif i < 3150:\n",
    "        test1_label.append([0,0,0,0,0,1,0,0,0,0])   # 最高价 3200~3300\n",
    "    elif i < 3160:\n",
    "        test1_label.append([0,0,0,0,0,0,1,0,0,0])   # 最高价 3300~3400\n",
    "    elif i < 3170:\n",
    "        test1_label.append([0,0,0,0,0,0,0,1,0,0])   # 最高价 3400~3500\n",
    "    elif i < 3180:\n",
    "        test1_label.append([0,0,0,0,0,0,0,0,1,0])   # 最高价 3500~3600\n",
    "    else:\n",
    "        test1_label.append([0,0,0,0,0,0,0,0,0,1])   # 最高价 > 3600\n",
    "    \n",
    "test1_label = np.array(test1_label)\n",
    "test1_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3182.8000000000002, 3043.8000000000002)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(data4['MaxPrice']),min(data4['MaxPrice'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "0\n",
      "5\n",
      "7\n",
      "234\n",
      "162\n",
      "386\n",
      "157\n",
      "42\n",
      "7\n"
     ]
    }
   ],
   "source": [
    "test1_label_list = test1_label.tolist()\n",
    "# 测试集五类样本的数量\n",
    "print test1_label_list.count([1,0,0,0,0,0,0,0,0,0])  \n",
    "print test1_label_list.count([0,1,0,0,0,0,0,0,0,0]) \n",
    "print test1_label_list.count([0,0,1,0,0,0,0,0,0,0]) \n",
    "print test1_label_list.count([0,0,0,1,0,0,0,0,0,0])\n",
    "print test1_label_list.count([0,0,0,0,1,0,0,0,0,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,1,0,0,0,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,0,1,0,0,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,0,0,1,0,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,0,0,0,1,0]) \n",
    "print test1_label_list.count([0,0,0,0,0,0,0,0,0,1]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "learning_rate = 0.001 # 学习速率\n",
    "training_iters = 20000  # 训练总步长\n",
    "batch_size = 200  # 每小段步长\n",
    "display_step = 10  # 每隔十小段显示输出\n",
    "\n",
    "# 参数设置\n",
    "n_input = 32 # 特征数量\n",
    "n_steps = 5 # 时间序列长度\n",
    "n_hidden = 500 # 隐藏层神经元个数\n",
    "n_classes = 10 # 分类数量\n",
    "\n",
    "tf.reset_default_graph()  # 重置流图\n",
    "# 设置输入输出格式大小\n",
    "xtr = tf.placeholder(\"float\", [None, n_steps, n_input])\n",
    "ytr = tf.placeholder(\"float\", [None,n_classes])\n",
    "# xte = tf.placeholder(\"float\", [None, n_steps, n_input])\n",
    "# yte = tf.placeholder(\"float\", [None,n_classes])\n",
    "xtr1 = tf.placeholder(\"float\", [None, n_input*n_steps])  \n",
    "xte1 = tf.placeholder(\"float\", [n_input*n_steps])  \n",
    "# 定义权重和偏移量\n",
    "weights = {\n",
    "    'out': tf.Variable(tf.random_normal([n_hidden, n_classes]))\n",
    "}\n",
    "biases = {\n",
    "    'out': tf.Variable(tf.random_normal([n_classes]))\n",
    "}\n",
    "\n",
    "# def pred():\n",
    "    \n",
    "def RNN(x, weights, biases):\n",
    "\n",
    "    # 更改数据集的格式，使其满足RNN网络的输入需求\n",
    "    # 现在输入格式: (batch_size, n_steps, n_input)\n",
    "    # 需要的格式: 'n_steps' 个tensor，每个的格式为 (batch_size, n_input)\n",
    "\n",
    "    # 变换batch_size 和 n_steps的位置\n",
    "    x = tf.transpose(x, [1, 0, 2])\n",
    "    # 重新调整格式 (n_steps*batch_size, n_input)\n",
    "    x = tf.reshape(x, [-1, n_input])\n",
    "    # 分割成一系列的 'n_steps' 个tensors，每个的格式为 (batch_size, n_input)\n",
    "    x = tf.split(0, n_steps, x)\n",
    "\n",
    "    # 定义LSTM神经网络结构\n",
    "    lstm_cell = rnn_cell.BasicLSTMCell(n_hidden, forget_bias=1.0)\n",
    "    # 获取输出和状态\n",
    "    outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)\n",
    "    # 返回输出\n",
    "    return tf.matmul(outputs[-1], weights['out']) + biases['out']\n",
    "# 获取预测值\n",
    "pred = RNN(xtr, weights, biases)\n",
    "# train_label = tf.split(0, batch_size, train_label)\n",
    "# 取下一小段的输入\n",
    "def next_batch_tr(step, batch_size):\n",
    "    return train1_data[(step-1)*batch_size:step*batch_size], train1_label[(step-1)*batch_size:step*batch_size]\n",
    "def next_batch_te(step, batch_size):\n",
    "    return test1_data[(step-1)*batch_size:step*batch_size], test1_label[(step-1)*batch_size:step*batch_size]\n",
    "\n",
    "Xtr1 = np.reshape(train1_data, newshape=(-1, n_input*n_steps))  \n",
    "Xte1 = np.reshape(test1_data, newshape=(-1, n_input*n_steps)) \n",
    "Xtr2 = map(map, [float, float], Xtr1)\n",
    "Xte2 = map(map, [float, float], Xte1)\n",
    "Xtr3 = np.array(Xtr2)\n",
    "Xte3 = np.array(Xte2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception AssertionError: AssertionError() in <bound method InteractiveSession.__del__ of <tensorflow.python.client.session.InteractiveSession object at 0x7f7b282ed710>> ignored\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization Finished!\n",
      "Test 0 Prediction: 4 True Class: 4\n",
      "Test 1 Prediction: 4 True Class: 4\n",
      "Test 2 Prediction: 4 True Class: 4\n",
      "Test 3 Prediction: 4 True Class: 4\n",
      "Test 4 Prediction: 4 True Class: 4\n",
      "Test 5 Prediction: 4 True Class: 4\n",
      "Test 6 Prediction: 4 True Class: 4\n",
      "Test 7 Prediction: 4 True Class: 4\n",
      "Test 8 Prediction: 4 True Class: 4\n",
      "Test 9 Prediction: 4 True Class: 4\n",
      "Test 10 Prediction: 4 True Class: 4\n",
      "Test 11 Prediction: 4 True Class: 4\n",
      "Test 12 Prediction: 4 True Class: 4\n",
      "Test 13 Prediction: 4 True Class: 4\n",
      "Test 14 Prediction: 4 True Class: 4\n",
      "Test 15 Prediction: 4 True Class: 4\n",
      "Test 16 Prediction: 4 True Class: 4\n",
      "Test 17 Prediction: 5 True Class: 4\n",
      "Test 18 Prediction: 4 True Class: 4\n",
      "Test 19 Prediction: 4 True Class: 4\n",
      "Test 20 Prediction: 4 True Class: 4\n",
      "Test 21 Prediction: 4 True Class: 4\n",
      "Test 22 Prediction: 4 True Class: 4\n",
      "Test 23 Prediction: 4 True Class: 4\n",
      "Test 24 Prediction: 4 True Class: 4\n",
      "Test 25 Prediction: 4 True Class: 4\n",
      "Test 26 Prediction: 4 True Class: 4\n",
      "Test 27 Prediction: 4 True Class: 4\n",
      "Test 28 Prediction: 4 True Class: 4\n",
      "Test 29 Prediction: 4 True Class: 4\n",
      "Test 30 Prediction: 4 True Class: 4\n",
      "Test 31 Prediction: 4 True Class: 4\n",
      "Test 32 Prediction: 4 True Class: 4\n",
      "Test 33 Prediction: 5 True Class: 4\n",
      "Test 34 Prediction: 4 True Class: 4\n",
      "Test 35 Prediction: 4 True Class: 4\n",
      "Test 36 Prediction: 4 True Class: 4\n",
      "Test 37 Prediction: 4 True Class: 4\n",
      "Test 38 Prediction: 4 True Class: 4\n",
      "Test 39 Prediction: 4 True Class: 4\n",
      "Test 40 Prediction: 4 True Class: 4\n",
      "Test 41 Prediction: 4 True Class: 4\n",
      "Test 42 Prediction: 4 True Class: 4\n",
      "Test 43 Prediction: 4 True Class: 4\n",
      "Test 44 Prediction: 4 True Class: 4\n",
      "Test 45 Prediction: 4 True Class: 4\n",
      "Test 46 Prediction: 3 True Class: 4\n",
      "Test 47 Prediction: 4 True Class: 4\n",
      "Test 48 Prediction: 4 True Class: 4\n",
      "Test 49 Prediction: 4 True Class: 4\n",
      "Test 50 Prediction: 4 True Class: 4\n",
      "Test 51 Prediction: 4 True Class: 4\n",
      "Test 52 Prediction: 4 True Class: 4\n",
      "Test 53 Prediction: 4 True Class: 4\n",
      "Test 54 Prediction: 4 True Class: 4\n",
      "Test 55 Prediction: 4 True Class: 4\n",
      "Test 56 Prediction: 4 True Class: 4\n",
      "Test 57 Prediction: 4 True Class: 4\n",
      "Test 58 Prediction: 4 True Class: 4\n",
      "Test 59 Prediction: 4 True Class: 4\n",
      "Test 60 Prediction: 4 True Class: 4\n",
      "Test 61 Prediction: 4 True Class: 4\n",
      "Test 62 Prediction: 4 True Class: 4\n",
      "Test 63 Prediction: 4 True Class: 4\n",
      "Test 64 Prediction: 4 True Class: 4\n",
      "Test 65 Prediction: 4 True Class: 4\n",
      "Test 66 Prediction: 4 True Class: 4\n",
      "Test 67 Prediction: 4 True Class: 4\n",
      "Test 68 Prediction: 4 True Class: 4\n",
      "Test 69 Prediction: 4 True Class: 4\n",
      "Test 70 Prediction: 4 True Class: 4\n",
      "Test 71 Prediction: 4 True Class: 4\n",
      "Test 72 Prediction: 4 True Class: 4\n",
      "Test 73 Prediction: 4 True Class: 4\n",
      "Test 74 Prediction: 4 True Class: 4\n",
      "Test 75 Prediction: 4 True Class: 4\n",
      "Test 76 Prediction: 4 True Class: 4\n",
      "Test 77 Prediction: 4 True Class: 4\n",
      "Test 78 Prediction: 4 True Class: 4\n",
      "Test 79 Prediction: 4 True Class: 4\n",
      "Test 80 Prediction: 4 True Class: 4\n",
      "Test 81 Prediction: 4 True Class: 4\n",
      "Test 82 Prediction: 4 True Class: 4\n",
      "Test 83 Prediction: 4 True Class: 4\n",
      "Test 84 Prediction: 4 True Class: 4\n",
      "Test 85 Prediction: 4 True Class: 4\n",
      "Test 86 Prediction: 4 True Class: 4\n",
      "Test 87 Prediction: 4 True Class: 4\n",
      "Test 88 Prediction: 4 True Class: 4\n",
      "Test 89 Prediction: 4 True Class: 4\n",
      "Test 90 Prediction: 4 True Class: 4\n",
      "Test 91 Prediction: 4 True Class: 4\n",
      "Test 92 Prediction: 4 True Class: 3\n",
      "Test 93 Prediction: 4 True Class: 3\n",
      "Test 94 Prediction: 4 True Class: 3\n",
      "Test 95 Prediction: 4 True Class: 3\n",
      "Test 96 Prediction: 4 True Class: 3\n",
      "Test 97 Prediction: 4 True Class: 4\n",
      "Test 98 Prediction: 4 True Class: 4\n",
      "Test 99 Prediction: 4 True Class: 4\n",
      "Test 100 Prediction: 4 True Class: 4\n",
      "Test 101 Prediction: 4 True Class: 4\n",
      "Test 102 Prediction: 4 True Class: 4\n",
      "Test 103 Prediction: 4 True Class: 4\n",
      "Test 104 Prediction: 4 True Class: 4\n",
      "Test 105 Prediction: 4 True Class: 4\n",
      "Test 106 Prediction: 4 True Class: 4\n",
      "Test 107 Prediction: 4 True Class: 4\n",
      "Test 108 Prediction: 4 True Class: 4\n",
      "Test 109 Prediction: 4 True Class: 4\n",
      "Test 110 Prediction: 4 True Class: 4\n",
      "Test 111 Prediction: 5 True Class: 4\n",
      "Test 112 Prediction: 4 True Class: 4\n",
      "Test 113 Prediction: 6 True Class: 4\n",
      "Test 114 Prediction: 6 True Class: 5\n",
      "Test 115 Prediction: 5 True Class: 5\n",
      "Test 116 Prediction: 5 True Class: 5\n",
      "Test 117 Prediction: 5 True Class: 5\n",
      "Test 118 Prediction: 5 True Class: 5\n",
      "Test 119 Prediction: 5 True Class: 5\n",
      "Test 120 Prediction: 6 True Class: 5\n",
      "Test 121 Prediction: 5 True Class: 5\n",
      "Test 122 Prediction: 5 True Class: 5\n",
      "Test 123 Prediction: 5 True Class: 5\n",
      "Test 124 Prediction: 5 True Class: 4\n",
      "Test 125 Prediction: 5 True Class: 4\n",
      "Test 126 Prediction: 5 True Class: 4\n",
      "Test 127 Prediction: 5 True Class: 4\n",
      "Test 128 Prediction: 4 True Class: 4\n",
      "Test 129 Prediction: 4 True Class: 4\n",
      "Test 130 Prediction: 4 True Class: 4\n",
      "Test 131 Prediction: 4 True Class: 4\n",
      "Test 132 Prediction: 4 True Class: 4\n",
      "Test 133 Prediction: 4 True Class: 4\n",
      "Test 134 Prediction: 4 True Class: 4\n",
      "Test 135 Prediction: 4 True Class: 4\n",
      "Test 136 Prediction: 4 True Class: 4\n",
      "Test 137 Prediction: 4 True Class: 4\n",
      "Test 138 Prediction: 5 True Class: 4\n",
      "Test 139 Prediction: 5 True Class: 5\n",
      "Test 140 Prediction: 4 True Class: 4\n",
      "Test 141 Prediction: 4 True Class: 5\n",
      "Test 142 Prediction: 4 True Class: 5\n",
      "Test 143 Prediction: 4 True Class: 5\n",
      "Test 144 Prediction: 5 True Class: 5\n",
      "Test 145 Prediction: 5 True Class: 5\n",
      "Test 146 Prediction: 5 True Class: 5\n",
      "Test 147 Prediction: 5 True Class: 5\n",
      "Test 148 Prediction: 5 True Class: 5\n",
      "Test 149 Prediction: 4 True Class: 5\n",
      "Test 150 Prediction: 4 True Class: 5\n",
      "Test 151 Prediction: 4 True Class: 5\n",
      "Test 152 Prediction: 5 True Class: 5\n",
      "Test 153 Prediction: 4 True Class: 4\n",
      "Test 154 Prediction: 5 True Class: 5\n",
      "Test 155 Prediction: 5 True Class: 5\n",
      "Test 156 Prediction: 5 True Class: 5\n",
      "Test 157 Prediction: 4 True Class: 4\n",
      "Test 158 Prediction: 4 True Class: 4\n",
      "Test 159 Prediction: 4 True Class: 4\n",
      "Test 160 Prediction: 4 True Class: 4\n",
      "Test 161 Prediction: 4 True Class: 4\n",
      "Test 162 Prediction: 4 True Class: 4\n",
      "Test 163 Prediction: 5 True Class: 4\n",
      "Test 164 Prediction: 4 True Class: 4\n",
      "Test 165 Prediction: 5 True Class: 5\n",
      "Test 166 Prediction: 4 True Class: 5\n",
      "Test 167 Prediction: 4 True Class: 5\n",
      "Test 168 Prediction: 4 True Class: 5\n",
      "Test 169 Prediction: 4 True Class: 5\n",
      "Test 170 Prediction: 4 True Class: 5\n",
      "Test 171 Prediction: 4 True Class: 5\n",
      "Test 172 Prediction: 4 True Class: 5\n",
      "Test 173 Prediction: 4 True Class: 5\n",
      "Test 174 Prediction: 4 True Class: 5\n",
      "Test 175 Prediction: 4 True Class: 5\n",
      "Test 176 Prediction: 5 True Class: 5\n",
      "Test 177 Prediction: 4 True Class: 5\n",
      "Test 178 Prediction: 5 True Class: 5\n",
      "Test 179 Prediction: 5 True Class: 5\n",
      "Test 180 Prediction: 5 True Class: 5\n",
      "Test 181 Prediction: 5 True Class: 5\n",
      "Test 182 Prediction: 5 True Class: 5\n",
      "Test 183 Prediction: 5 True Class: 5\n",
      "Test 184 Prediction: 5 True Class: 5\n",
      "Test 185 Prediction: 5 True Class: 5\n",
      "Test 186 Prediction: 4 True Class: 5\n",
      "Test 187 Prediction: 5 True Class: 5\n",
      "Test 188 Prediction: 5 True Class: 5\n",
      "Test 189 Prediction: 4 True Class: 5\n",
      "Test 190 Prediction: 5 True Class: 5\n",
      "Test 191 Prediction: 5 True Class: 5\n",
      "Test 192 Prediction: 4 True Class: 5\n",
      "Test 193 Prediction: 4 True Class: 5\n",
      "Test 194 Prediction: 4 True Class: 5\n",
      "Test 195 Prediction: 4 True Class: 5\n",
      "Test 196 Prediction: 4 True Class: 5\n",
      "Test 197 Prediction: 5 True Class: 5\n",
      "Test 198 Prediction: 5 True Class: 5\n",
      "Test 199 Prediction: 4 True Class: 5\n",
      "Test 200 Prediction: 4 True Class: 5\n",
      "Test 201 Prediction: 4 True Class: 5\n",
      "Test 202 Prediction: 4 True Class: 5\n",
      "Test 203 Prediction: 5 True Class: 5\n",
      "Test 204 Prediction: 5 True Class: 4\n",
      "Test 205 Prediction: 5 True Class: 4\n",
      "Test 206 Prediction: 5 True Class: 4\n",
      "Test 207 Prediction: 5 True Class: 5\n",
      "Test 208 Prediction: 5 True Class: 4\n",
      "Test 209 Prediction: 5 True Class: 4\n",
      "Test 210 Prediction: 5 True Class: 4\n",
      "Test 211 Prediction: 5 True Class: 4\n",
      "Test 212 Prediction: 5 True Class: 4\n",
      "Test 213 Prediction: 5 True Class: 4\n",
      "Test 214 Prediction: 5 True Class: 4\n",
      "Test 215 Prediction: 5 True Class: 4\n",
      "Test 216 Prediction: 5 True Class: 4\n",
      "Test 217 Prediction: 5 True Class: 5\n",
      "Test 218 Prediction: 5 True Class: 5\n",
      "Test 219 Prediction: 5 True Class: 5\n",
      "Test 220 Prediction: 5 True Class: 5\n",
      "Test 221 Prediction: 4 True Class: 5\n",
      "Test 222 Prediction: 4 True Class: 5\n",
      "Test 223 Prediction: 4 True Class: 5\n",
      "Test 224 Prediction: 5 True Class: 5\n",
      "Test 225 Prediction: 4 True Class: 5\n",
      "Test 226 Prediction: 5 True Class: 5\n",
      "Test 227 Prediction: 5 True Class: 5\n",
      "Test 228 Prediction: 5 True Class: 5\n",
      "Test 229 Prediction: 5 True Class: 5\n",
      "Test 230 Prediction: 5 True Class: 5\n",
      "Test 231 Prediction: 5 True Class: 5\n",
      "Test 232 Prediction: 5 True Class: 5\n",
      "Test 233 Prediction: 5 True Class: 5\n",
      "Test 234 Prediction: 5 True Class: 5\n",
      "Test 235 Prediction: 6 True Class: 6\n",
      "Test 236 Prediction: 7 True Class: 8\n",
      "Test 237 Prediction: 7 True Class: 7\n",
      "Test 238 Prediction: 7 True Class: 7\n",
      "Test 239 Prediction: 7 True Class: 7\n",
      "Test 240 Prediction: 7 True Class: 7\n",
      "Test 241 Prediction: 7 True Class: 7\n",
      "Test 242 Prediction: 7 True Class: 6\n",
      "Test 243 Prediction: 7 True Class: 6\n",
      "Test 244 Prediction: 7 True Class: 6\n",
      "Test 245 Prediction: 7 True Class: 6\n",
      "Test 246 Prediction: 6 True Class: 6\n",
      "Test 247 Prediction: 6 True Class: 6\n",
      "Test 248 Prediction: 6 True Class: 6\n",
      "Test 249 Prediction: 7 True Class: 6\n",
      "Test 250 Prediction: 7 True Class: 6\n",
      "Test 251 Prediction: 7 True Class: 6\n",
      "Test 252 Prediction: 7 True Class: 6\n",
      "Test 253 Prediction: 7 True Class: 6\n",
      "Test 254 Prediction: 6 True Class: 6\n",
      "Test 255 Prediction: 6 True Class: 6\n",
      "Test 256 Prediction: 6 True Class: 6\n",
      "Test 257 Prediction: 7 True Class: 6\n",
      "Test 258 Prediction: 7 True Class: 6\n",
      "Test 259 Prediction: 7 True Class: 6\n",
      "Test 260 Prediction: 6 True Class: 6\n",
      "Test 261 Prediction: 6 True Class: 6\n",
      "Test 262 Prediction: 7 True Class: 6\n",
      "Test 263 Prediction: 6 True Class: 6\n",
      "Test 264 Prediction: 6 True Class: 6\n",
      "Test 265 Prediction: 6 True Class: 6\n",
      "Test 266 Prediction: 6 True Class: 6\n",
      "Test 267 Prediction: 7 True Class: 6\n",
      "Test 268 Prediction: 7 True Class: 6\n",
      "Test 269 Prediction: 7 True Class: 7\n",
      "Test 270 Prediction: 7 True Class: 7\n",
      "Test 271 Prediction: 7 True Class: 7\n",
      "Test 272 Prediction: 7 True Class: 7\n",
      "Test 273 Prediction: 6 True Class: 7\n",
      "Test 274 Prediction: 6 True Class: 7\n",
      "Test 275 Prediction: 7 True Class: 7\n",
      "Test 276 Prediction: 7 True Class: 7\n",
      "Test 277 Prediction: 7 True Class: 6\n",
      "Test 278 Prediction: 7 True Class: 7\n",
      "Test 279 Prediction: 7 True Class: 6\n",
      "Test 280 Prediction: 6 True Class: 6\n",
      "Test 281 Prediction: 7 True Class: 6\n",
      "Test 282 Prediction: 6 True Class: 6\n",
      "Test 283 Prediction: 6 True Class: 6\n",
      "Test 284 Prediction: 7 True Class: 7\n",
      "Test 285 Prediction: 7 True Class: 7\n",
      "Test 286 Prediction: 8 True Class: 8\n",
      "Test 287 Prediction: 9 True Class: 8\n",
      "Test 288 Prediction: 8 True Class: 8\n",
      "Test 289 Prediction: 9 True Class: 8\n",
      "Test 290 Prediction: 8 True Class: 8\n",
      "Test 291 Prediction: 9 True Class: 8\n",
      "Test 292 Prediction: 9 True Class: 8\n",
      "Test 293 Prediction: 9 True Class: 8\n",
      "Test 294 Prediction: 9 True Class: 8\n",
      "Test 295 Prediction: 9 True Class: 9\n",
      "Test 296 Prediction: 9 True Class: 8\n",
      "Test 297 Prediction: 9 True Class: 8\n",
      "Test 298 Prediction: 9 True Class: 9\n",
      "Test 299 Prediction: 9 True Class: 9\n",
      "Test 300 Prediction: 9 True Class: 9\n",
      "Test 301 Prediction: 9 True Class: 9\n",
      "Test 302 Prediction: 9 True Class: 9\n",
      "Test 303 Prediction: 9 True Class: 9\n",
      "Test 304 Prediction: 7 True Class: 8\n",
      "Test 305 Prediction: 7 True Class: 8\n",
      "Test 306 Prediction: 7 True Class: 8\n",
      "Test 307 Prediction: 7 True Class: 8\n",
      "Test 308 Prediction: 7 True Class: 8\n",
      "Test 309 Prediction: 7 True Class: 8\n",
      "Test 310 Prediction: 7 True Class: 7\n",
      "Test 311 Prediction: 7 True Class: 7\n",
      "Test 312 Prediction: 7 True Class: 7\n",
      "Test 313 Prediction: 7 True Class: 7\n",
      "Test 314 Prediction: 7 True Class: 7\n",
      "Test 315 Prediction: 7 True Class: 7\n",
      "Test 316 Prediction: 8 True Class: 7\n",
      "Test 317 Prediction: 8 True Class: 7\n",
      "Test 318 Prediction: 8 True Class: 7\n",
      "Test 319 Prediction: 7 True Class: 7\n",
      "Test 320 Prediction: 8 True Class: 7\n",
      "Test 321 Prediction: 8 True Class: 7\n",
      "Test 322 Prediction: 8 True Class: 7\n",
      "Test 323 Prediction: 8 True Class: 8\n",
      "Test 324 Prediction: 8 True Class: 8\n",
      "Test 325 Prediction: 9 True Class: 8\n",
      "Test 326 Prediction: 9 True Class: 8\n",
      "Test 327 Prediction: 8 True Class: 8\n",
      "Test 328 Prediction: 8 True Class: 8\n",
      "Test 329 Prediction: 9 True Class: 8\n",
      "Test 330 Prediction: 7 True Class: 8\n",
      "Test 331 Prediction: 6 True Class: 8\n",
      "Test 332 Prediction: 6 True Class: 8\n",
      "Test 333 Prediction: 9 True Class: 8\n",
      "Test 334 Prediction: 9 True Class: 8\n",
      "Test 335 Prediction: 9 True Class: 8\n",
      "Test 336 Prediction: 9 True Class: 8\n",
      "Test 337 Prediction: 9 True Class: 8\n",
      "Test 338 Prediction: 9 True Class: 8\n",
      "Test 339 Prediction: 7 True Class: 8\n",
      "Test 340 Prediction: 7 True Class: 8\n",
      "Test 341 Prediction: 7 True Class: 8\n",
      "Test 342 Prediction: 8 True Class: 8\n",
      "Test 343 Prediction: 8 True Class: 8\n",
      "Test 344 Prediction: 8 True Class: 8\n",
      "Test 345 Prediction: 8 True Class: 8\n",
      "Test 346 Prediction: 7 True Class: 7\n",
      "Test 347 Prediction: 7 True Class: 8\n",
      "Test 348 Prediction: 7 True Class: 7\n",
      "Test 349 Prediction: 7 True Class: 7\n",
      "Test 350 Prediction: 7 True Class: 7\n",
      "Test 351 Prediction: 7 True Class: 7\n",
      "Test 352 Prediction: 7 True Class: 7\n",
      "Test 353 Prediction: 7 True Class: 7\n",
      "Test 354 Prediction: 7 True Class: 7\n",
      "Test 355 Prediction: 7 True Class: 7\n",
      "Test 356 Prediction: 7 True Class: 7\n",
      "Test 357 Prediction: 7 True Class: 7\n",
      "Test 358 Prediction: 7 True Class: 7\n",
      "Test 359 Prediction: 7 True Class: 7\n",
      "Test 360 Prediction: 7 True Class: 7\n",
      "Test 361 Prediction: 6 True Class: 7\n",
      "Test 362 Prediction: 6 True Class: 7\n",
      "Test 363 Prediction: 7 True Class: 7\n",
      "Test 364 Prediction: 6 True Class: 7\n",
      "Test 365 Prediction: 6 True Class: 7\n",
      "Test 366 Prediction: 7 True Class: 7\n",
      "Test 367 Prediction: 7 True Class: 7\n",
      "Test 368 Prediction: 7 True Class: 7\n",
      "Test 369 Prediction: 7 True Class: 7\n",
      "Test 370 Prediction: 7 True Class: 7\n",
      "Test 371 Prediction: 7 True Class: 7\n",
      "Test 372 Prediction: 7 True Class: 7\n",
      "Test 373 Prediction: 7 True Class: 7\n",
      "Test 374 Prediction: 7 True Class: 7\n",
      "Test 375 Prediction: 7 True Class: 7\n",
      "Test 376 Prediction: 7 True Class: 7\n",
      "Test 377 Prediction: 7 True Class: 7\n",
      "Test 378 Prediction: 7 True Class: 7\n",
      "Test 379 Prediction: 7 True Class: 7\n",
      "Test 380 Prediction: 7 True Class: 7\n",
      "Test 381 Prediction: 7 True Class: 7\n",
      "Test 382 Prediction: 7 True Class: 6\n",
      "Test 383 Prediction: 7 True Class: 7\n",
      "Test 384 Prediction: 7 True Class: 7\n",
      "Test 385 Prediction: 7 True Class: 7\n",
      "Test 386 Prediction: 7 True Class: 7\n",
      "Test 387 Prediction: 7 True Class: 7\n",
      "Test 388 Prediction: 7 True Class: 7\n",
      "Test 389 Prediction: 7 True Class: 7\n",
      "Test 390 Prediction: 7 True Class: 7\n",
      "Test 391 Prediction: 7 True Class: 7\n",
      "Test 392 Prediction: 7 True Class: 7\n",
      "Test 393 Prediction: 7 True Class: 7\n",
      "Test 394 Prediction: 6 True Class: 7\n",
      "Test 395 Prediction: 6 True Class: 6\n",
      "Test 396 Prediction: 6 True Class: 6\n",
      "Test 397 Prediction: 6 True Class: 6\n",
      "Test 398 Prediction: 6 True Class: 6\n",
      "Test 399 Prediction: 6 True Class: 6\n",
      "Test 400 Prediction: 6 True Class: 6\n",
      "Test 401 Prediction: 6 True Class: 6\n",
      "Test 402 Prediction: 6 True Class: 6\n",
      "Test 403 Prediction: 6 True Class: 6\n",
      "Test 404 Prediction: 6 True Class: 6\n",
      "Test 405 Prediction: 6 True Class: 6\n",
      "Test 406 Prediction: 6 True Class: 6\n",
      "Test 407 Prediction: 6 True Class: 6\n",
      "Test 408 Prediction: 7 True Class: 6\n",
      "Test 409 Prediction: 7 True Class: 6\n",
      "Test 410 Prediction: 6 True Class: 6\n",
      "Test 411 Prediction: 6 True Class: 6\n",
      "Test 412 Prediction: 6 True Class: 7\n",
      "Test 413 Prediction: 6 True Class: 7\n",
      "Test 414 Prediction: 6 True Class: 6\n",
      "Test 415 Prediction: 6 True Class: 6\n",
      "Test 416 Prediction: 6 True Class: 6\n",
      "Test 417 Prediction: 6 True Class: 7\n",
      "Test 418 Prediction: 6 True Class: 6\n",
      "Test 419 Prediction: 6 True Class: 7\n",
      "Test 420 Prediction: 6 True Class: 7\n",
      "Test 421 Prediction: 7 True Class: 7\n",
      "Test 422 Prediction: 7 True Class: 6\n",
      "Test 423 Prediction: 7 True Class: 6\n",
      "Test 424 Prediction: 6 True Class: 6\n",
      "Test 425 Prediction: 6 True Class: 7\n",
      "Test 426 Prediction: 7 True Class: 7\n",
      "Test 427 Prediction: 7 True Class: 7\n",
      "Test 428 Prediction: 7 True Class: 7\n",
      "Test 429 Prediction: 7 True Class: 7\n",
      "Test 430 Prediction: 7 True Class: 7\n",
      "Test 431 Prediction: 6 True Class: 7\n",
      "Test 432 Prediction: 6 True Class: 7\n",
      "Test 433 Prediction: 6 True Class: 7\n",
      "Test 434 Prediction: 6 True Class: 7\n",
      "Test 435 Prediction: 6 True Class: 7\n",
      "Test 436 Prediction: 7 True Class: 7\n",
      "Test 437 Prediction: 7 True Class: 7\n",
      "Test 438 Prediction: 7 True Class: 7\n",
      "Test 439 Prediction: 7 True Class: 7\n",
      "Test 440 Prediction: 7 True Class: 7\n",
      "Test 441 Prediction: 7 True Class: 7\n",
      "Test 442 Prediction: 6 True Class: 7\n",
      "Test 443 Prediction: 6 True Class: 6\n",
      "Test 444 Prediction: 6 True Class: 7\n",
      "Test 445 Prediction: 6 True Class: 7\n",
      "Test 446 Prediction: 6 True Class: 7\n",
      "Test 447 Prediction: 6 True Class: 7\n",
      "Test 448 Prediction: 6 True Class: 6\n",
      "Test 449 Prediction: 6 True Class: 6\n",
      "Test 450 Prediction: 7 True Class: 6\n",
      "Test 451 Prediction: 7 True Class: 6\n",
      "Test 452 Prediction: 7 True Class: 6\n",
      "Test 453 Prediction: 6 True Class: 6\n",
      "Test 454 Prediction: 6 True Class: 6\n",
      "Test 455 Prediction: 6 True Class: 6\n",
      "Test 456 Prediction: 6 True Class: 6\n",
      "Test 457 Prediction: 6 True Class: 6\n",
      "Test 458 Prediction: 6 True Class: 6\n",
      "Test 459 Prediction: 6 True Class: 6\n",
      "Test 460 Prediction: 6 True Class: 6\n",
      "Test 461 Prediction: 7 True Class: 6\n",
      "Test 462 Prediction: 6 True Class: 6\n",
      "Test 463 Prediction: 6 True Class: 6\n",
      "Test 464 Prediction: 5 True Class: 6\n",
      "Test 465 Prediction: 5 True Class: 6\n",
      "Test 466 Prediction: 5 True Class: 6\n",
      "Test 467 Prediction: 5 True Class: 6\n",
      "Test 468 Prediction: 5 True Class: 6\n",
      "Test 469 Prediction: 6 True Class: 6\n",
      "Test 470 Prediction: 4 True Class: 6\n",
      "Test 471 Prediction: 4 True Class: 6\n",
      "Test 472 Prediction: 6 True Class: 6\n",
      "Test 473 Prediction: 6 True Class: 6\n",
      "Test 474 Prediction: 6 True Class: 6\n",
      "Test 475 Prediction: 6 True Class: 6\n",
      "Test 476 Prediction: 6 True Class: 6\n",
      "Test 477 Prediction: 6 True Class: 6\n",
      "Test 478 Prediction: 6 True Class: 6\n",
      "Test 479 Prediction: 6 True Class: 6\n",
      "Test 480 Prediction: 6 True Class: 6\n",
      "Test 481 Prediction: 6 True Class: 6\n",
      "Test 482 Prediction: 6 True Class: 6\n",
      "Test 483 Prediction: 6 True Class: 6\n",
      "Test 484 Prediction: 6 True Class: 6\n",
      "Test 485 Prediction: 7 True Class: 6\n",
      "Test 486 Prediction: 6 True Class: 6\n",
      "Test 487 Prediction: 7 True Class: 6\n",
      "Test 488 Prediction: 7 True Class: 6\n",
      "Test 489 Prediction: 6 True Class: 6\n",
      "Test 490 Prediction: 6 True Class: 6\n",
      "Test 491 Prediction: 6 True Class: 6\n",
      "Test 492 Prediction: 6 True Class: 6\n",
      "Test 493 Prediction: 6 True Class: 6\n",
      "Test 494 Prediction: 6 True Class: 6\n",
      "Test 495 Prediction: 6 True Class: 6\n",
      "Test 496 Prediction: 6 True Class: 6\n",
      "Test 497 Prediction: 6 True Class: 6\n",
      "Test 498 Prediction: 5 True Class: 6\n",
      "Test 499 Prediction: 5 True Class: 6\n",
      "Test 500 Prediction: 7 True Class: 6\n",
      "Test 501 Prediction: 6 True Class: 6\n",
      "Test 502 Prediction: 5 True Class: 6\n",
      "Test 503 Prediction: 5 True Class: 6\n",
      "Test 504 Prediction: 5 True Class: 6\n",
      "Test 505 Prediction: 5 True Class: 6\n",
      "Test 506 Prediction: 5 True Class: 6\n",
      "Test 507 Prediction: 5 True Class: 6\n",
      "Test 508 Prediction: 5 True Class: 6\n",
      "Test 509 Prediction: 5 True Class: 6\n",
      "Test 510 Prediction: 5 True Class: 6\n",
      "Test 511 Prediction: 5 True Class: 6\n",
      "Test 512 Prediction: 5 True Class: 6\n",
      "Test 513 Prediction: 6 True Class: 6\n",
      "Test 514 Prediction: 6 True Class: 6\n",
      "Test 515 Prediction: 6 True Class: 6\n",
      "Test 516 Prediction: 6 True Class: 6\n",
      "Test 517 Prediction: 6 True Class: 6\n",
      "Test 518 Prediction: 6 True Class: 6\n",
      "Test 519 Prediction: 6 True Class: 6\n",
      "Test 520 Prediction: 6 True Class: 6\n",
      "Test 521 Prediction: 6 True Class: 6\n",
      "Test 522 Prediction: 6 True Class: 6\n",
      "Test 523 Prediction: 6 True Class: 6\n",
      "Test 524 Prediction: 6 True Class: 6\n",
      "Test 525 Prediction: 5 True Class: 6\n",
      "Test 526 Prediction: 5 True Class: 6\n",
      "Test 527 Prediction: 5 True Class: 6\n",
      "Test 528 Prediction: 7 True Class: 6\n",
      "Test 529 Prediction: 7 True Class: 6\n",
      "Test 530 Prediction: 7 True Class: 6\n",
      "Test 531 Prediction: 6 True Class: 6\n",
      "Test 532 Prediction: 6 True Class: 6\n",
      "Test 533 Prediction: 6 True Class: 6\n",
      "Test 534 Prediction: 6 True Class: 6\n",
      "Test 535 Prediction: 6 True Class: 6\n",
      "Test 536 Prediction: 6 True Class: 6\n",
      "Test 537 Prediction: 6 True Class: 6\n",
      "Test 538 Prediction: 6 True Class: 6\n",
      "Test 539 Prediction: 6 True Class: 6\n",
      "Test 540 Prediction: 6 True Class: 6\n",
      "Test 541 Prediction: 6 True Class: 6\n",
      "Test 542 Prediction: 7 True Class: 6\n",
      "Test 543 Prediction: 6 True Class: 6\n",
      "Test 544 Prediction: 6 True Class: 6\n",
      "Test 545 Prediction: 6 True Class: 6\n",
      "Test 546 Prediction: 7 True Class: 6\n",
      "Test 547 Prediction: 6 True Class: 6\n",
      "Test 548 Prediction: 6 True Class: 6\n",
      "Test 549 Prediction: 6 True Class: 6\n",
      "Test 550 Prediction: 7 True Class: 6\n",
      "Test 551 Prediction: 6 True Class: 6\n",
      "Test 552 Prediction: 7 True Class: 7\n",
      "Test 553 Prediction: 7 True Class: 7\n",
      "Test 554 Prediction: 7 True Class: 7\n",
      "Test 555 Prediction: 7 True Class: 7\n",
      "Test 556 Prediction: 7 True Class: 7\n",
      "Test 557 Prediction: 7 True Class: 7\n",
      "Test 558 Prediction: 7 True Class: 7\n",
      "Test 559 Prediction: 6 True Class: 6\n",
      "Test 560 Prediction: 6 True Class: 6\n",
      "Test 561 Prediction: 6 True Class: 6\n",
      "Test 562 Prediction: 6 True Class: 6\n",
      "Test 563 Prediction: 6 True Class: 6\n",
      "Test 564 Prediction: 6 True Class: 6\n",
      "Test 565 Prediction: 6 True Class: 6\n",
      "Test 566 Prediction: 6 True Class: 6\n",
      "Test 567 Prediction: 6 True Class: 6\n",
      "Test 568 Prediction: 6 True Class: 6\n",
      "Test 569 Prediction: 6 True Class: 6\n",
      "Test 570 Prediction: 6 True Class: 6\n",
      "Test 571 Prediction: 6 True Class: 6\n",
      "Test 572 Prediction: 6 True Class: 6\n",
      "Test 573 Prediction: 6 True Class: 6\n",
      "Test 574 Prediction: 6 True Class: 6\n",
      "Test 575 Prediction: 7 True Class: 6\n",
      "Test 576 Prediction: 6 True Class: 6\n",
      "Test 577 Prediction: 7 True Class: 6\n",
      "Test 578 Prediction: 7 True Class: 6\n",
      "Test 579 Prediction: 7 True Class: 6\n",
      "Test 580 Prediction: 7 True Class: 6\n",
      "Test 581 Prediction: 7 True Class: 6\n",
      "Test 582 Prediction: 7 True Class: 6\n",
      "Test 583 Prediction: 7 True Class: 6\n",
      "Test 584 Prediction: 6 True Class: 6\n",
      "Test 585 Prediction: 6 True Class: 6\n",
      "Test 586 Prediction: 6 True Class: 6\n",
      "Test 587 Prediction: 6 True Class: 6\n",
      "Test 588 Prediction: 6 True Class: 6\n",
      "Test 589 Prediction: 6 True Class: 6\n",
      "Test 590 Prediction: 6 True Class: 6\n",
      "Test 591 Prediction: 7 True Class: 6\n",
      "Test 592 Prediction: 6 True Class: 6\n",
      "Test 593 Prediction: 7 True Class: 6\n",
      "Test 594 Prediction: 6 True Class: 6\n",
      "Test 595 Prediction: 7 True Class: 6\n",
      "Test 596 Prediction: 6 True Class: 6\n",
      "Test 597 Prediction: 6 True Class: 6\n",
      "Test 598 Prediction: 6 True Class: 6\n",
      "Test 599 Prediction: 6 True Class: 6\n",
      "Test 600 Prediction: 6 True Class: 6\n",
      "Test 601 Prediction: 6 True Class: 6\n",
      "Test 602 Prediction: 6 True Class: 6\n",
      "Test 603 Prediction: 7 True Class: 7\n",
      "Test 604 Prediction: 6 True Class: 7\n",
      "Test 605 Prediction: 6 True Class: 7\n",
      "Test 606 Prediction: 6 True Class: 7\n",
      "Test 607 Prediction: 6 True Class: 7\n",
      "Test 608 Prediction: 7 True Class: 7\n",
      "Test 609 Prediction: 7 True Class: 7\n",
      "Test 610 Prediction: 6 True Class: 6\n",
      "Test 611 Prediction: 6 True Class: 6\n",
      "Test 612 Prediction: 6 True Class: 6\n",
      "Test 613 Prediction: 6 True Class: 6\n",
      "Test 614 Prediction: 6 True Class: 6\n",
      "Test 615 Prediction: 6 True Class: 6\n",
      "Test 616 Prediction: 7 True Class: 6\n",
      "Test 617 Prediction: 6 True Class: 6\n",
      "Test 618 Prediction: 6 True Class: 6\n",
      "Test 619 Prediction: 6 True Class: 7\n",
      "Test 620 Prediction: 6 True Class: 6\n",
      "Test 621 Prediction: 6 True Class: 6\n",
      "Test 622 Prediction: 6 True Class: 6\n",
      "Test 623 Prediction: 6 True Class: 6\n",
      "Test 624 Prediction: 6 True Class: 6\n",
      "Test 625 Prediction: 6 True Class: 6\n",
      "Test 626 Prediction: 6 True Class: 6\n",
      "Test 627 Prediction: 6 True Class: 6\n",
      "Test 628 Prediction: 6 True Class: 6\n",
      "Test 629 Prediction: 6 True Class: 6\n",
      "Test 630 Prediction: 6 True Class: 6\n",
      "Test 631 Prediction: 4 True Class: 6\n",
      "Test 632 Prediction: 6 True Class: 6\n",
      "Test 633 Prediction: 6 True Class: 6\n",
      "Test 634 Prediction: 6 True Class: 6\n",
      "Test 635 Prediction: 6 True Class: 6\n",
      "Test 636 Prediction: 6 True Class: 6\n",
      "Test 637 Prediction: 6 True Class: 6\n",
      "Test 638 Prediction: 6 True Class: 6\n",
      "Test 639 Prediction: 6 True Class: 6\n",
      "Test 640 Prediction: 6 True Class: 6\n",
      "Test 641 Prediction: 6 True Class: 6\n",
      "Test 642 Prediction: 6 True Class: 6\n",
      "Test 643 Prediction: 6 True Class: 6\n",
      "Test 644 Prediction: 6 True Class: 6\n",
      "Test 645 Prediction: 6 True Class: 6\n",
      "Test 646 Prediction: 5 True Class: 6\n",
      "Test 647 Prediction: 5 True Class: 6\n",
      "Test 648 Prediction: 5 True Class: 6\n",
      "Test 649 Prediction: 6 True Class: 6\n",
      "Test 650 Prediction: 6 True Class: 6\n",
      "Test 651 Prediction: 6 True Class: 6\n",
      "Test 652 Prediction: 6 True Class: 6\n",
      "Test 653 Prediction: 6 True Class: 6\n",
      "Test 654 Prediction: 6 True Class: 6\n",
      "Test 655 Prediction: 7 True Class: 6\n",
      "Test 656 Prediction: 6 True Class: 6\n",
      "Test 657 Prediction: 6 True Class: 6\n",
      "Test 658 Prediction: 6 True Class: 6\n",
      "Test 659 Prediction: 6 True Class: 6\n",
      "Test 660 Prediction: 6 True Class: 6\n",
      "Test 661 Prediction: 6 True Class: 6\n",
      "Test 662 Prediction: 6 True Class: 6\n",
      "Test 663 Prediction: 6 True Class: 6\n",
      "Test 664 Prediction: 6 True Class: 6\n",
      "Test 665 Prediction: 6 True Class: 7\n",
      "Test 666 Prediction: 4 True Class: 6\n",
      "Test 667 Prediction: 4 True Class: 6\n",
      "Test 668 Prediction: 5 True Class: 6\n",
      "Test 669 Prediction: 5 True Class: 6\n",
      "Test 670 Prediction: 5 True Class: 6\n",
      "Test 671 Prediction: 5 True Class: 6\n",
      "Test 672 Prediction: 5 True Class: 6\n",
      "Test 673 Prediction: 5 True Class: 6\n",
      "Test 674 Prediction: 5 True Class: 6\n",
      "Test 675 Prediction: 5 True Class: 6\n",
      "Test 676 Prediction: 5 True Class: 6\n",
      "Test 677 Prediction: 6 True Class: 6\n",
      "Test 678 Prediction: 7 True Class: 6\n",
      "Test 679 Prediction: 7 True Class: 6\n",
      "Test 680 Prediction: 7 True Class: 7\n",
      "Test 681 Prediction: 7 True Class: 7\n",
      "Test 682 Prediction: 7 True Class: 7\n",
      "Test 683 Prediction: 7 True Class: 7\n",
      "Test 684 Prediction: 7 True Class: 7\n",
      "Test 685 Prediction: 7 True Class: 7\n",
      "Test 686 Prediction: 6 True Class: 7\n",
      "Test 687 Prediction: 6 True Class: 7\n",
      "Test 688 Prediction: 6 True Class: 7\n",
      "Test 689 Prediction: 8 True Class: 7\n",
      "Test 690 Prediction: 6 True Class: 7\n",
      "Test 691 Prediction: 8 True Class: 7\n",
      "Test 692 Prediction: 6 True Class: 7\n",
      "Test 693 Prediction: 8 True Class: 7\n",
      "Test 694 Prediction: 6 True Class: 7\n",
      "Test 695 Prediction: 6 True Class: 7\n",
      "Test 696 Prediction: 7 True Class: 7\n",
      "Test 697 Prediction: 7 True Class: 7\n",
      "Test 698 Prediction: 8 True Class: 7\n",
      "Test 699 Prediction: 6 True Class: 7\n",
      "Test 700 Prediction: 6 True Class: 7\n",
      "Test 701 Prediction: 6 True Class: 7\n",
      "Test 702 Prediction: 6 True Class: 7\n",
      "Test 703 Prediction: 6 True Class: 7\n",
      "Test 704 Prediction: 6 True Class: 6\n",
      "Test 705 Prediction: 6 True Class: 6\n",
      "Test 706 Prediction: 4 True Class: 6\n",
      "Test 707 Prediction: 8 True Class: 6\n",
      "Test 708 Prediction: 8 True Class: 6\n",
      "Test 709 Prediction: 8 True Class: 6\n",
      "Test 710 Prediction: 8 True Class: 6\n",
      "Test 711 Prediction: 8 True Class: 6\n",
      "Test 712 Prediction: 8 True Class: 6\n",
      "Test 713 Prediction: 8 True Class: 6\n",
      "Test 714 Prediction: 8 True Class: 6\n",
      "Test 715 Prediction: 8 True Class: 6\n",
      "Test 716 Prediction: 8 True Class: 6\n",
      "Test 717 Prediction: 8 True Class: 6\n",
      "Test 718 Prediction: 8 True Class: 6\n",
      "Test 719 Prediction: 7 True Class: 7\n",
      "Test 720 Prediction: 6 True Class: 7\n",
      "Test 721 Prediction: 7 True Class: 7\n",
      "Test 722 Prediction: 7 True Class: 7\n",
      "Test 723 Prediction: 7 True Class: 7\n",
      "Test 724 Prediction: 6 True Class: 7\n",
      "Test 725 Prediction: 6 True Class: 7\n",
      "Test 726 Prediction: 6 True Class: 6\n",
      "Test 727 Prediction: 6 True Class: 7\n",
      "Test 728 Prediction: 7 True Class: 6\n",
      "Test 729 Prediction: 7 True Class: 6\n",
      "Test 730 Prediction: 6 True Class: 6\n",
      "Test 731 Prediction: 6 True Class: 6\n",
      "Test 732 Prediction: 6 True Class: 6\n",
      "Test 733 Prediction: 6 True Class: 6\n",
      "Test 734 Prediction: 6 True Class: 6\n",
      "Test 735 Prediction: 6 True Class: 6\n",
      "Test 736 Prediction: 6 True Class: 6\n",
      "Test 737 Prediction: 6 True Class: 6\n",
      "Test 738 Prediction: 6 True Class: 6\n",
      "Test 739 Prediction: 6 True Class: 6\n",
      "Test 740 Prediction: 6 True Class: 6\n",
      "Test 741 Prediction: 7 True Class: 6\n",
      "Test 742 Prediction: 7 True Class: 6\n",
      "Test 743 Prediction: 6 True Class: 6\n",
      "Test 744 Prediction: 6 True Class: 6\n",
      "Test 745 Prediction: 6 True Class: 6\n",
      "Test 746 Prediction: 6 True Class: 6\n",
      "Test 747 Prediction: 6 True Class: 6\n",
      "Test 748 Prediction: 7 True Class: 6\n",
      "Test 749 Prediction: 7 True Class: 6\n",
      "Test 750 Prediction: 6 True Class: 6\n",
      "Test 751 Prediction: 6 True Class: 6\n",
      "Test 752 Prediction: 7 True Class: 6\n",
      "Test 753 Prediction: 7 True Class: 6\n",
      "Test 754 Prediction: 7 True Class: 6\n",
      "Test 755 Prediction: 7 True Class: 7\n",
      "Test 756 Prediction: 7 True Class: 7\n",
      "Test 757 Prediction: 7 True Class: 7\n",
      "Test 758 Prediction: 7 True Class: 7\n",
      "Test 759 Prediction: 6 True Class: 7\n",
      "Test 760 Prediction: 6 True Class: 6\n",
      "Test 761 Prediction: 6 True Class: 6\n",
      "Test 762 Prediction: 6 True Class: 6\n",
      "Test 763 Prediction: 6 True Class: 6\n",
      "Test 764 Prediction: 6 True Class: 6\n",
      "Test 765 Prediction: 6 True Class: 6\n",
      "Test 766 Prediction: 6 True Class: 6\n",
      "Test 767 Prediction: 6 True Class: 6\n",
      "Test 768 Prediction: 7 True Class: 6\n",
      "Test 769 Prediction: 7 True Class: 6\n",
      "Test 770 Prediction: 6 True Class: 6\n",
      "Test 771 Prediction: 6 True Class: 6\n",
      "Test 772 Prediction: 6 True Class: 6\n",
      "Test 773 Prediction: 6 True Class: 5\n",
      "Test 774 Prediction: 6 True Class: 5\n",
      "Test 775 Prediction: 6 True Class: 5\n",
      "Test 776 Prediction: 6 True Class: 5\n",
      "Test 777 Prediction: 7 True Class: 5\n",
      "Test 778 Prediction: 7 True Class: 5\n",
      "Test 779 Prediction: 6 True Class: 5\n",
      "Test 780 Prediction: 5 True Class: 5\n",
      "Test 781 Prediction: 5 True Class: 5\n",
      "Test 782 Prediction: 5 True Class: 5\n",
      "Test 783 Prediction: 5 True Class: 5\n",
      "Test 784 Prediction: 5 True Class: 5\n",
      "Test 785 Prediction: 5 True Class: 5\n",
      "Test 786 Prediction: 5 True Class: 4\n",
      "Test 787 Prediction: 5 True Class: 4\n",
      "Test 788 Prediction: 5 True Class: 4\n",
      "Test 789 Prediction: 5 True Class: 4\n",
      "Test 790 Prediction: 5 True Class: 4\n",
      "Test 791 Prediction: 4 True Class: 4\n",
      "Test 792 Prediction: 2 True Class: 4\n",
      "Test 793 Prediction: 2 True Class: 4\n",
      "Test 794 Prediction: 5 True Class: 4\n",
      "Test 795 Prediction: 4 True Class: 4\n",
      "Test 796 Prediction: 4 True Class: 4\n",
      "Test 797 Prediction: 4 True Class: 4\n",
      "Test 798 Prediction: 4 True Class: 4\n",
      "Test 799 Prediction: 4 True Class: 4\n",
      "Test 800 Prediction: 4 True Class: 4\n",
      "Test 801 Prediction: 4 True Class: 4\n",
      "Test 802 Prediction: 4 True Class: 4\n",
      "Test 803 Prediction: 4 True Class: 4\n",
      "Test 804 Prediction: 4 True Class: 4\n",
      "Test 805 Prediction: 5 True Class: 4\n",
      "Test 806 Prediction: 5 True Class: 4\n",
      "Test 807 Prediction: 5 True Class: 4\n",
      "Test 808 Prediction: 5 True Class: 4\n",
      "Test 809 Prediction: 4 True Class: 4\n",
      "Test 810 Prediction: 4 True Class: 4\n",
      "Test 811 Prediction: 4 True Class: 5\n",
      "Test 812 Prediction: 4 True Class: 5\n",
      "Test 813 Prediction: 4 True Class: 4\n",
      "Test 814 Prediction: 5 True Class: 4\n",
      "Test 815 Prediction: 4 True Class: 4\n",
      "Test 816 Prediction: 4 True Class: 4\n",
      "Test 817 Prediction: 4 True Class: 4\n",
      "Test 818 Prediction: 4 True Class: 4\n",
      "Test 819 Prediction: 3 True Class: 4\n",
      "Test 820 Prediction: 3 True Class: 4\n",
      "Test 821 Prediction: 3 True Class: 4\n",
      "Test 822 Prediction: 3 True Class: 4\n",
      "Test 823 Prediction: 3 True Class: 4\n",
      "Test 824 Prediction: 3 True Class: 4\n",
      "Test 825 Prediction: 3 True Class: 4\n",
      "Test 826 Prediction: 3 True Class: 4\n",
      "Test 827 Prediction: 4 True Class: 4\n",
      "Test 828 Prediction: 4 True Class: 4\n",
      "Test 829 Prediction: 4 True Class: 4\n",
      "Test 830 Prediction: 4 True Class: 4\n",
      "Test 831 Prediction: 4 True Class: 4\n",
      "Test 832 Prediction: 4 True Class: 4\n",
      "Test 833 Prediction: 4 True Class: 4\n",
      "Test 834 Prediction: 4 True Class: 4\n",
      "Test 835 Prediction: 4 True Class: 4\n",
      "Test 836 Prediction: 4 True Class: 4\n",
      "Test 837 Prediction: 4 True Class: 4\n",
      "Test 838 Prediction: 4 True Class: 4\n",
      "Test 839 Prediction: 4 True Class: 4\n",
      "Test 840 Prediction: 4 True Class: 4\n",
      "Test 841 Prediction: 4 True Class: 4\n",
      "Test 842 Prediction: 5 True Class: 4\n",
      "Test 843 Prediction: 4 True Class: 4\n",
      "Test 844 Prediction: 4 True Class: 4\n",
      "Test 845 Prediction: 4 True Class: 4\n",
      "Test 846 Prediction: 4 True Class: 4\n",
      "Test 847 Prediction: 4 True Class: 4\n",
      "Test 848 Prediction: 4 True Class: 4\n",
      "Test 849 Prediction: 4 True Class: 4\n",
      "Test 850 Prediction: 4 True Class: 4\n",
      "Test 851 Prediction: 4 True Class: 4\n",
      "Test 852 Prediction: 4 True Class: 4\n",
      "Test 853 Prediction: 4 True Class: 4\n",
      "Test 854 Prediction: 4 True Class: 4\n",
      "Test 855 Prediction: 4 True Class: 4\n",
      "Test 856 Prediction: 4 True Class: 4\n",
      "Test 857 Prediction: 4 True Class: 4\n",
      "Test 858 Prediction: 4 True Class: 4\n",
      "Test 859 Prediction: 4 True Class: 4\n",
      "Test 860 Prediction: 4 True Class: 4\n",
      "Test 861 Prediction: 4 True Class: 4\n",
      "Test 862 Prediction: 4 True Class: 4\n",
      "Test 863 Prediction: 4 True Class: 4\n",
      "Test 864 Prediction: 4 True Class: 4\n",
      "Test 865 Prediction: 4 True Class: 4\n",
      "Test 866 Prediction: 4 True Class: 4\n",
      "Test 867 Prediction: 4 True Class: 4\n",
      "Test 868 Prediction: 4 True Class: 4\n",
      "Test 869 Prediction: 4 True Class: 4\n",
      "Test 870 Prediction: 5 True Class: 4\n",
      "Test 871 Prediction: 5 True Class: 4\n",
      "Test 872 Prediction: 5 True Class: 4\n",
      "Test 873 Prediction: 5 True Class: 5\n",
      "Test 874 Prediction: 5 True Class: 4\n",
      "Test 875 Prediction: 4 True Class: 4\n",
      "Test 876 Prediction: 4 True Class: 4\n",
      "Test 877 Prediction: 5 True Class: 5\n",
      "Test 878 Prediction: 5 True Class: 5\n",
      "Test 879 Prediction: 6 True Class: 5\n",
      "Test 880 Prediction: 5 True Class: 5\n",
      "Test 881 Prediction: 5 True Class: 5\n",
      "Test 882 Prediction: 5 True Class: 5\n",
      "Test 883 Prediction: 5 True Class: 5\n",
      "Test 884 Prediction: 5 True Class: 5\n",
      "Test 885 Prediction: 5 True Class: 5\n",
      "Test 886 Prediction: 5 True Class: 5\n",
      "Test 887 Prediction: 5 True Class: 5\n",
      "Test 888 Prediction: 5 True Class: 5\n",
      "Test 889 Prediction: 5 True Class: 5\n",
      "Test 890 Prediction: 5 True Class: 5\n",
      "Test 891 Prediction: 5 True Class: 5\n",
      "Test 892 Prediction: 5 True Class: 5\n",
      "Test 893 Prediction: 5 True Class: 5\n",
      "Test 894 Prediction: 4 True Class: 5\n",
      "Test 895 Prediction: 5 True Class: 5\n",
      "Test 896 Prediction: 4 True Class: 5\n",
      "Test 897 Prediction: 4 True Class: 5\n",
      "Test 898 Prediction: 5 True Class: 5\n",
      "Test 899 Prediction: 4 True Class: 5\n",
      "Test 900 Prediction: 4 True Class: 5\n",
      "Test 901 Prediction: 5 True Class: 5\n",
      "Test 902 Prediction: 4 True Class: 5\n",
      "Test 903 Prediction: 5 True Class: 5\n",
      "Test 904 Prediction: 4 True Class: 5\n",
      "Test 905 Prediction: 4 True Class: 5\n",
      "Test 906 Prediction: 4 True Class: 5\n",
      "Test 907 Prediction: 4 True Class: 5\n",
      "Test 908 Prediction: 5 True Class: 5\n",
      "Test 909 Prediction: 5 True Class: 5\n",
      "Test 910 Prediction: 4 True Class: 5\n",
      "Test 911 Prediction: 4 True Class: 5\n",
      "Test 912 Prediction: 5 True Class: 5\n",
      "Test 913 Prediction: 5 True Class: 5\n",
      "Test 914 Prediction: 5 True Class: 5\n",
      "Test 915 Prediction: 5 True Class: 5\n",
      "Test 916 Prediction: 5 True Class: 5\n",
      "Test 917 Prediction: 5 True Class: 5\n",
      "Test 918 Prediction: 4 True Class: 5\n",
      "Test 919 Prediction: 5 True Class: 5\n",
      "Test 920 Prediction: 5 True Class: 5\n",
      "Test 921 Prediction: 5 True Class: 5\n",
      "Test 922 Prediction: 5 True Class: 5\n",
      "Test 923 Prediction: 5 True Class: 5\n",
      "Test 924 Prediction: 5 True Class: 5\n",
      "Test 925 Prediction: 5 True Class: 5\n",
      "Test 926 Prediction: 5 True Class: 5\n",
      "Test 927 Prediction: 4 True Class: 5\n",
      "Test 928 Prediction: 5 True Class: 5\n",
      "Test 929 Prediction: 5 True Class: 5\n",
      "Test 930 Prediction: 4 True Class: 5\n",
      "Test 931 Prediction: 6 True Class: 5\n",
      "Test 932 Prediction: 6 True Class: 5\n",
      "Test 933 Prediction: 6 True Class: 6\n",
      "Test 934 Prediction: 6 True Class: 6\n",
      "Test 935 Prediction: 6 True Class: 6\n",
      "Test 936 Prediction: 6 True Class: 6\n",
      "Test 937 Prediction: 7 True Class: 6\n",
      "Test 938 Prediction: 7 True Class: 6\n",
      "Test 939 Prediction: 5 True Class: 6\n",
      "Test 940 Prediction: 6 True Class: 6\n",
      "Test 941 Prediction: 6 True Class: 6\n",
      "Test 942 Prediction: 6 True Class: 6\n",
      "Test 943 Prediction: 6 True Class: 6\n",
      "Test 944 Prediction: 6 True Class: 6\n",
      "Test 945 Prediction: 6 True Class: 6\n",
      "Test 946 Prediction: 6 True Class: 6\n",
      "Test 947 Prediction: 6 True Class: 6\n",
      "Test 948 Prediction: 6 True Class: 6\n",
      "Test 949 Prediction: 6 True Class: 6\n",
      "Test 950 Prediction: 5 True Class: 6\n",
      "Test 951 Prediction: 6 True Class: 6\n",
      "Test 952 Prediction: 5 True Class: 5\n",
      "Test 953 Prediction: 5 True Class: 6\n",
      "Test 954 Prediction: 5 True Class: 5\n",
      "Test 955 Prediction: 5 True Class: 5\n",
      "Test 956 Prediction: 5 True Class: 6\n",
      "Test 957 Prediction: 5 True Class: 6\n",
      "Test 958 Prediction: 5 True Class: 6\n",
      "Test 959 Prediction: 5 True Class: 5\n",
      "Test 960 Prediction: 4 True Class: 5\n",
      "Test 961 Prediction: 4 True Class: 6\n",
      "Test 962 Prediction: 4 True Class: 6\n",
      "Test 963 Prediction: 4 True Class: 6\n",
      "Test 964 Prediction: 5 True Class: 6\n",
      "Test 965 Prediction: 5 True Class: 6\n",
      "Test 966 Prediction: 5 True Class: 6\n",
      "Test 967 Prediction: 4 True Class: 6\n",
      "Test 968 Prediction: 5 True Class: 5\n",
      "Test 969 Prediction: 5 True Class: 6\n",
      "Test 970 Prediction: 4 True Class: 6\n",
      "Test 971 Prediction: 6 True Class: 6\n",
      "Test 972 Prediction: 5 True Class: 6\n",
      "Test 973 Prediction: 5 True Class: 6\n",
      "Test 974 Prediction: 5 True Class: 6\n",
      "Test 975 Prediction: 5 True Class: 6\n",
      "Test 976 Prediction: 5 True Class: 6\n",
      "Test 977 Prediction: 5 True Class: 6\n",
      "Test 978 Prediction: 5 True Class: 6\n",
      "Test 979 Prediction: 5 True Class: 6\n",
      "Test 980 Prediction: 6 True Class: 6\n",
      "Test 981 Prediction: 6 True Class: 6\n",
      "Test 982 Prediction: 6 True Class: 6\n",
      "Test 983 Prediction: 6 True Class: 6\n",
      "Test 984 Prediction: 6 True Class: 6\n",
      "Test 985 Prediction: 6 True Class: 6\n",
      "Test 986 Prediction: 6 True Class: 6\n",
      "Test 987 Prediction: 6 True Class: 6\n",
      "Test 988 Prediction: 6 True Class: 6\n",
      "Test 989 Prediction: 6 True Class: 6\n",
      "Test 990 Prediction: 6 True Class: 6\n",
      "Test 991 Prediction: 4 True Class: 6\n",
      "Test 992 Prediction: 4 True Class: 6\n",
      "Test 993 Prediction: 3 True Class: 2\n",
      "Test 994 Prediction: 4 True Class: 2\n",
      "Test 995 Prediction: 3 True Class: 2\n",
      "Test 996 Prediction: 3 True Class: 2\n",
      "Test 997 Prediction: 3 True Class: 3\n",
      "Test 998 Prediction: 2 True Class: 3\n",
      "Test 999 Prediction: 3 True Class: 2\n",
      "Done!\n",
      "Accuracy: 0.65\n"
     ]
    }
   ],
   "source": [
    "# 定义代价函数和最优化方法\n",
    "cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(pred, ytr))\n",
    "optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(cost)\n",
    "\n",
    "# 评估模型准确率\n",
    "correct_pred = tf.equal(tf.argmax(pred, 1), tf.argmax(ytr, 1))\n",
    "accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32))\n",
    "\n",
    "# 定义相似度，即预测值与训练值的距离\n",
    "distance = tf.reduce_sum(tf.abs(tf.add(xtr1, tf.neg(xte1))), reduction_indices=1)  \n",
    "# 预测值: 获取相似度最高的训练标签，作为预测标签\n",
    "pred1 = tf.arg_min(distance, 0)  \n",
    "accuracy1 = 0.  \n",
    "# 变量初始化\n",
    "init = tf.initialize_all_variables()\n",
    "\n",
    "# 创建会话\n",
    "sess = tf.InteractiveSession()\n",
    "sess.run(init)\n",
    "step = 1\n",
    "    # 一直迭代，直到最大步长\n",
    "while step * batch_size < training_iters:\n",
    "    batch_x, batch_y = next_batch_tr(step, batch_size)\n",
    "    batch_x = batch_x.reshape((batch_size, n_steps, n_input))\n",
    "        # 利用最优化方法调整权值\n",
    "    sess.run(optimizer, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "    if step % display_step == 0:\n",
    "            # 计算准确率和损失函数\n",
    "        acc = sess.run(accuracy, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "        loss = sess.run(cost, feed_dict={xtr: batch_x, ytr: batch_y})\n",
    "        # 每隔一定步长显示训练准确率和损失率\n",
    "#         print(\"Iter \" + str(step * batch_size) + \", Minibatch Loss= \" +\n",
    "#                 \"{:.6f}\".format(loss) + \", Training Accuracy= \" +\n",
    "#                 \"{:.5f}\".format(acc))\n",
    "    step += 1\n",
    "print(\"Optimization Finished!\")\n",
    "\n",
    "    # 计算n个预测值的预测准确率\n",
    "test_len = 1000\n",
    "test1_data = test1_data[:test_len].reshape((-1, n_steps, n_input))\n",
    "test1_label = test1_label[:test_len]\n",
    "# print(\"Testing Accuracy:\",\n",
    "#         sess.run(accuracy, feed_dict={xtr: test1_data, ytr: test1_label}))\n",
    "\n",
    "for i in range(test_len):  \n",
    "        # 索引即为相似度最大的标签值\n",
    "    nn_index = sess.run(pred1, feed_dict={xtr1: Xtr3, xte1: Xte3[i,:]})  \n",
    "        # 打印出对应的预测标签和实际标签\n",
    "    print \"Test\", i, \"Prediction:\", np.argmax(train1_label[nn_index]), \"True Class:\", np.argmax(test1_label[i])  \n",
    "      \n",
    "    if np.argmax(train1_label[nn_index]) == np.argmax(test1_label[i]):  \n",
    "        accuracy1 += 1./test_len \n",
    "print \"Done!\"  \n",
    "print \"Accuracy:\", accuracy1  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f7b21350150>"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7b21e05350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhUAAAGHCAYAAAAHoqCrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7b3d0ffd10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#!/usr/bin/env python\n",
    "# -*- coding: utf-8 -*-  \n",
    "# 画出对比图，绿色表示实际值，红色表示预测值\n",
    "import numpy as np    \n",
    "import matplotlib.mlab as mlab    \n",
    "import matplotlib.pyplot as plt    \n",
    "# import ch\n",
    "%matplotlib inline\n",
    "\n",
    "# from pylab import *\n",
    "\n",
    "# mpl.rcParams['font.sans-serif'] = ['SimHei']\n",
    "# mpl.rcParams['axes.unicode_minus'] = False\n",
    "Y1=[]\n",
    "for i in range(60,100):\n",
    "    nn_index = sess.run(pred1, feed_dict={xtr1: Xtr3, xte1: Xte3[i,:]})  \n",
    "    Y1.append(np.argmax(train1_label[nn_index]))\n",
    "Y2=[]\n",
    "for i in range(60,100):\n",
    "    Y2.append(np.argmax(test1_label[i]))\n",
    "\n",
    "Y3 = pd.concat([Series(Y1),Series(Y2)],axis=1)\n",
    "# set_ch()\n",
    "Y3.columns = ['Predict','Real']\n",
    "X=range(60,100) \n",
    "fig = plt.figure()  \n",
    "Y3.plot(color=['red','green'],kind='line',use_index=False)  \n",
    "#plt.bar(X,Y2,0.4,color=\"red\")  \n",
    "plt.xlabel(\"time/min\")  \n",
    "plt.ylabel(\"Class\")  \n",
    "plt.title(\"Contrast\")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}