predict_draw.ipynb

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   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from time import time\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import set_matplotlib_formats\n",
    "set_matplotlib_formats('svg')\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "from features.data_provider import get_train_test_wc_dataset, get_feature_columns, get_whole_dataset\n",
    "from models.grid_search import run_custom_grid_search\n",
    "from models.helpers import get_best_params, get_feature_importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, y_train, X_test, y_test, X_wc, y_wc = get_train_test_wc_dataset(\"home_win\")\n",
    "y_train.loc[y_train != 0] = 1\n",
    "y_test.loc[y_test != 0] = 1\n",
    "y_wc.loc[y_wc != 0] = 1"
   ]
  },
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   ],
   "source": [
    "def get_labeled_df(s):\n",
    "    df = pd.DataFrame(s)\n",
    "    df[df[\"home_win\"] == 1] = \"Win/Lose\"\n",
    "    df[df[\"home_win\"] == 0] = \"Draw\"\n",
    "    return df\n",
    "\n",
    "plt.figure(figsize=(20, 6))\n",
    "fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(12, 4))\n",
    "pd.value_counts(get_labeled_df(y_train)[\"home_win\"]).plot.bar(ax=axes[0])\n",
    "pd.value_counts(get_labeled_df(y_test)[\"home_win\"]).plot.bar(ax=axes[1])\n",
    "pd.value_counts(get_labeled_df(y_wc)[\"home_win\"]).plot.bar(ax=axes[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parameter estimation took:  1020.7429320812225\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'max_depth': 3.0, 'max_features': 'sqrt', 'min_samples_leaf': 1}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = {\"oob_score\":True, \"bootstrap\":True, \"n_jobs\":-1, \"n_estimators\": 5000} \n",
    "results = run_custom_grid_search(params, X_train, y_train, X_test, y_test, X_wc, y_wc, classifier=True)\n",
    "get_best_params(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "      <th>max_depth</th>\n",
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       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>15</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>15</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>1</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.754865</td>\n",
       "      <td>0.245135</td>\n",
       "      <td>0.245135</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>8.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.754508</td>\n",
       "      <td>0.245492</td>\n",
       "      <td>0.245492</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>3</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.751473</td>\n",
       "      <td>0.248527</td>\n",
       "      <td>0.248527</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>8.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.751473</td>\n",
       "      <td>0.248527</td>\n",
       "      <td>0.248527</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>8.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>5</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.750223</td>\n",
       "      <td>0.249777</td>\n",
       "      <td>0.249777</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>8.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>8.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>10</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>8.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>15</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>8.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>15</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>12.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>1</td>\n",
       "      <td>0.744186</td>\n",
       "      <td>0.255814</td>\n",
       "      <td>0.255814</td>\n",
       "      <td>0.795751</td>\n",
       "      <td>0.204249</td>\n",
       "      <td>0.204249</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.517624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>12.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.744186</td>\n",
       "      <td>0.255814</td>\n",
       "      <td>0.255814</td>\n",
       "      <td>0.795394</td>\n",
       "      <td>0.204606</td>\n",
       "      <td>0.204606</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.517624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>12.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>3</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.768613</td>\n",
       "      <td>0.231387</td>\n",
       "      <td>0.231387</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>12.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.768256</td>\n",
       "      <td>0.231744</td>\n",
       "      <td>0.231744</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>12.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>5</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.759329</td>\n",
       "      <td>0.240671</td>\n",
       "      <td>0.240671</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>12.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.757900</td>\n",
       "      <td>0.242100</td>\n",
       "      <td>0.242100</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>12.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>10</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.751294</td>\n",
       "      <td>0.248706</td>\n",
       "      <td>0.248706</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>12.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.750937</td>\n",
       "      <td>0.249063</td>\n",
       "      <td>0.249063</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>12.0</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>15</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>12.0</td>\n",
       "      <td>log2</td>\n",
       "      <td>15</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.749688</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.250312</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>NaN</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>1</td>\n",
       "      <td>0.726512</td>\n",
       "      <td>0.273488</td>\n",
       "      <td>0.273488</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.765625</td>\n",
       "      <td>0.234375</td>\n",
       "      <td>0.234375</td>\n",
       "      <td>1.492137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>NaN</td>\n",
       "      <td>log2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.726512</td>\n",
       "      <td>0.273488</td>\n",
       "      <td>0.273488</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.499949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>NaN</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733023</td>\n",
       "      <td>0.266977</td>\n",
       "      <td>0.266977</td>\n",
       "      <td>0.978754</td>\n",
       "      <td>0.021246</td>\n",
       "      <td>0.021246</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.506461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>NaN</td>\n",
       "      <td>log2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733023</td>\n",
       "      <td>0.266977</td>\n",
       "      <td>0.266977</td>\n",
       "      <td>0.977147</td>\n",
       "      <td>0.022853</td>\n",
       "      <td>0.022853</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.506461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>NaN</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>5</td>\n",
       "      <td>0.738605</td>\n",
       "      <td>0.261395</td>\n",
       "      <td>0.261395</td>\n",
       "      <td>0.902696</td>\n",
       "      <td>0.097304</td>\n",
       "      <td>0.097304</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.512042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>NaN</td>\n",
       "      <td>log2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.739535</td>\n",
       "      <td>0.260465</td>\n",
       "      <td>0.260465</td>\n",
       "      <td>0.892341</td>\n",
       "      <td>0.107659</td>\n",
       "      <td>0.107659</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.512972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>NaN</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>10</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.762899</td>\n",
       "      <td>0.237101</td>\n",
       "      <td>0.237101</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>NaN</td>\n",
       "      <td>log2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.758972</td>\n",
       "      <td>0.241028</td>\n",
       "      <td>0.241028</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>NaN</td>\n",
       "      <td>sqrt</td>\n",
       "      <td>15</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.752009</td>\n",
       "      <td>0.247991</td>\n",
       "      <td>0.247991</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>NaN</td>\n",
       "      <td>log2</td>\n",
       "      <td>15</td>\n",
       "      <td>0.745116</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.254884</td>\n",
       "      <td>0.751830</td>\n",
       "      <td>0.248170</td>\n",
       "      <td>0.248170</td>\n",
       "      <td>0.773438</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>0.226562</td>\n",
       "      <td>1.518554</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    max_depth max_features  min_samples_leaf  test_acc  test_mae  test_mse  \\\n",
       "0         3.0         sqrt                 1  0.745116  0.254884  0.254884   \n",
       "1         3.0         log2                 1  0.745116  0.254884  0.254884   \n",
       "2         3.0         sqrt                 3  0.745116  0.254884  0.254884   \n",
       "3         3.0         log2                 3  0.745116  0.254884  0.254884   \n",
       "4         3.0         sqrt                 5  0.745116  0.254884  0.254884   \n",
       "5         3.0         log2                 5  0.745116  0.254884  0.254884   \n",
       "6         3.0         sqrt                10  0.745116  0.254884  0.254884   \n",
       "7         3.0         log2                10  0.745116  0.254884  0.254884   \n",
       "8         3.0         sqrt                15  0.745116  0.254884  0.254884   \n",
       "9         3.0         log2                15  0.745116  0.254884  0.254884   \n",
       "10        5.0         sqrt                 1  0.745116  0.254884  0.254884   \n",
       "11        5.0         log2                 1  0.745116  0.254884  0.254884   \n",
       "12        5.0         sqrt                 3  0.745116  0.254884  0.254884   \n",
       "13        5.0         log2                 3  0.745116  0.254884  0.254884   \n",
       "14        5.0         sqrt                 5  0.745116  0.254884  0.254884   \n",
       "15        5.0         log2                 5  0.745116  0.254884  0.254884   \n",
       "16        5.0         sqrt                10  0.745116  0.254884  0.254884   \n",
       "17        5.0         log2                10  0.745116  0.254884  0.254884   \n",
       "18        5.0         sqrt                15  0.745116  0.254884  0.254884   \n",
       "19        5.0         log2                15  0.745116  0.254884  0.254884   \n",
       "20        8.0         sqrt                 1  0.745116  0.254884  0.254884   \n",
       "21        8.0         log2                 1  0.745116  0.254884  0.254884   \n",
       "22        8.0         sqrt                 3  0.745116  0.254884  0.254884   \n",
       "23        8.0         log2                 3  0.745116  0.254884  0.254884   \n",
       "24        8.0         sqrt                 5  0.745116  0.254884  0.254884   \n",
       "25        8.0         log2                 5  0.745116  0.254884  0.254884   \n",
       "26        8.0         sqrt                10  0.745116  0.254884  0.254884   \n",
       "27        8.0         log2                10  0.745116  0.254884  0.254884   \n",
       "28        8.0         sqrt                15  0.745116  0.254884  0.254884   \n",
       "29        8.0         log2                15  0.745116  0.254884  0.254884   \n",
       "30       12.0         sqrt                 1  0.744186  0.255814  0.255814   \n",
       "31       12.0         log2                 1  0.744186  0.255814  0.255814   \n",
       "32       12.0         sqrt                 3  0.745116  0.254884  0.254884   \n",
       "33       12.0         log2                 3  0.745116  0.254884  0.254884   \n",
       "34       12.0         sqrt                 5  0.745116  0.254884  0.254884   \n",
       "35       12.0         log2                 5  0.745116  0.254884  0.254884   \n",
       "36       12.0         sqrt                10  0.745116  0.254884  0.254884   \n",
       "37       12.0         log2                10  0.745116  0.254884  0.254884   \n",
       "38       12.0         sqrt                15  0.745116  0.254884  0.254884   \n",
       "39       12.0         log2                15  0.745116  0.254884  0.254884   \n",
       "40        NaN         sqrt                 1  0.726512  0.273488  0.273488   \n",
       "41        NaN         log2                 1  0.726512  0.273488  0.273488   \n",
       "42        NaN         sqrt                 3  0.733023  0.266977  0.266977   \n",
       "43        NaN         log2                 3  0.733023  0.266977  0.266977   \n",
       "44        NaN         sqrt                 5  0.738605  0.261395  0.261395   \n",
       "45        NaN         log2                 5  0.739535  0.260465  0.260465   \n",
       "46        NaN         sqrt                10  0.745116  0.254884  0.254884   \n",
       "47        NaN         log2                10  0.745116  0.254884  0.254884   \n",
       "48        NaN         sqrt                15  0.745116  0.254884  0.254884   \n",
       "49        NaN         log2                15  0.745116  0.254884  0.254884   \n",
       "\n",
       "    train_acc  train_mae  train_mse    wc_acc    wc_mae    wc_mse  best_combo  \n",
       "0    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "1    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "2    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "3    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "4    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "5    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "6    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "7    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "8    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "9    0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "10   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "11   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "12   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "13   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "14   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "15   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "16   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "17   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "18   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "19   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "20   0.754865   0.245135   0.245135  0.773438  0.226562  0.226562    1.518554  \n",
       "21   0.754508   0.245492   0.245492  0.773438  0.226562  0.226562    1.518554  \n",
       "22   0.751473   0.248527   0.248527  0.773438  0.226562  0.226562    1.518554  \n",
       "23   0.751473   0.248527   0.248527  0.773438  0.226562  0.226562    1.518554  \n",
       "24   0.750223   0.249777   0.249777  0.773438  0.226562  0.226562    1.518554  \n",
       "25   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "26   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "27   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "28   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "29   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "30   0.795751   0.204249   0.204249  0.773438  0.226562  0.226562    1.517624  \n",
       "31   0.795394   0.204606   0.204606  0.773438  0.226562  0.226562    1.517624  \n",
       "32   0.768613   0.231387   0.231387  0.773438  0.226562  0.226562    1.518554  \n",
       "33   0.768256   0.231744   0.231744  0.773438  0.226562  0.226562    1.518554  \n",
       "34   0.759329   0.240671   0.240671  0.773438  0.226562  0.226562    1.518554  \n",
       "35   0.757900   0.242100   0.242100  0.773438  0.226562  0.226562    1.518554  \n",
       "36   0.751294   0.248706   0.248706  0.773438  0.226562  0.226562    1.518554  \n",
       "37   0.750937   0.249063   0.249063  0.773438  0.226562  0.226562    1.518554  \n",
       "38   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "39   0.749688   0.250312   0.250312  0.773438  0.226562  0.226562    1.518554  \n",
       "40   1.000000   0.000000   0.000000  0.765625  0.234375  0.234375    1.492137  \n",
       "41   1.000000   0.000000   0.000000  0.773438  0.226562  0.226562    1.499949  \n",
       "42   0.978754   0.021246   0.021246  0.773438  0.226562  0.226562    1.506461  \n",
       "43   0.977147   0.022853   0.022853  0.773438  0.226562  0.226562    1.506461  \n",
       "44   0.902696   0.097304   0.097304  0.773438  0.226562  0.226562    1.512042  \n",
       "45   0.892341   0.107659   0.107659  0.773438  0.226562  0.226562    1.512972  \n",
       "46   0.762899   0.237101   0.237101  0.773438  0.226562  0.226562    1.518554  \n",
       "47   0.758972   0.241028   0.241028  0.773438  0.226562  0.226562    1.518554  \n",
       "48   0.752009   0.247991   0.247991  0.773438  0.226562  0.226562    1.518554  \n",
       "49   0.751830   0.248170   0.248170  0.773438  0.226562  0.226562    1.518554  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X, y = get_whole_dataset(\"home_win\")\n",
    "y.loc[y != 0] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight={0: 3.5},\n",
       "            criterion='gini', max_depth=3.0, max_features='sqrt',\n",
       "            max_leaf_nodes=None, min_impurity_decrease=0.0,\n",
       "            min_impurity_split=None, min_samples_leaf=1,\n",
       "            min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "            n_estimators=500, n_jobs=-1, oob_score=True, random_state=None,\n",
       "            verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = {\n",
    "    \"oob_score\":True,\n",
    "    \"bootstrap\":True,\n",
    "    \"n_jobs\":-1,\n",
    "    \"n_estimators\": 500,\n",
    "    'max_depth': 3.0,\n",
    "    'max_features': 'sqrt',\n",
    "    'min_samples_leaf': 1,\n",
    "    'class_weight': {0: 3.5}\n",
    "} \n",
    "clf = RandomForestClassifier(**params)\n",
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.57292117  0.42707883]\n",
      "[ 0.57028358  0.42971642]\n",
      "[ 0.52328857  0.47671143]\n",
      "[ 0.57348548  0.42651452]\n",
      "[ 0.52177248  0.47822752]\n",
      "[ 0.57337496  0.42662504]\n",
      "[ 0.57288908  0.42711092]\n",
      "[ 0.55241755  0.44758245]\n",
      "[ 0.56800737  0.43199263]\n",
      "[ 0.57347822  0.42652178]\n",
      "[ 0.50342285  0.49657715]\n",
      "[ 0.50344256  0.49655744]\n",
      "[ 0.54906874  0.45093126]\n",
      "[ 0.5749022  0.4250978]\n",
      "[ 0.5712889  0.4287111]\n",
      "[ 0.54614444  0.45385556]\n",
      "[ 0.57137777  0.42862223]\n",
      "[ 0.571533  0.428467]\n",
      "[ 0.5659184  0.4340816]\n",
      "[ 0.54058609  0.45941391]\n",
      "[ 0.5717136  0.4282864]\n",
      "[ 0.55287509  0.44712491]\n",
      "[ 0.56603394  0.43396606]\n",
      "[ 0.51619125  0.48380875]\n",
      "[ 0.56407043  0.43592957]\n",
      "[ 0.51194574  0.48805426]\n",
      "[ 0.56542587  0.43457413]\n",
      "[ 0.53116939  0.46883061]\n",
      "[ 0.57035025  0.42964975]\n",
      "[ 0.55335202  0.44664798]\n",
      "[ 0.53468652  0.46531348]\n",
      "[ 0.57283235  0.42716765]\n",
      "[ 0.53705054  0.46294946]\n",
      "[ 0.55594418  0.44405582]\n",
      "[ 0.57283423  0.42716577]\n",
      "[ 0.53287451  0.46712549]\n",
      "[ 0.57073924  0.42926076]\n",
      "[ 0.56722832  0.43277168]\n",
      "[ 0.56382962  0.43617038]\n",
      "[ 0.57269436  0.42730564]\n",
      "[ 0.55943495  0.44056505]\n",
      "[ 0.55328348  0.44671652]\n",
      "[ 0.56007229  0.43992771]\n",
      "[ 0.57176911  0.42823089]\n",
      "[ 0.57231152  0.42768848]\n",
      "[ 0.57319763  0.42680237]\n",
      "[ 0.52611013  0.47388987]\n",
      "[ 0.56093363  0.43906637]\n",
      "[ 0.54949177  0.45050823]\n",
      "[ 0.5751286  0.4248714]\n",
      "[ 0.57315029  0.42684971]\n",
      "[ 0.54133228  0.45866772]\n",
      "[ 0.57377838  0.42622162]\n",
      "[ 0.53748462  0.46251538]\n",
      "[ 0.56471498  0.43528502]\n",
      "[ 0.53004027  0.46995973]\n",
      "[ 0.57277791  0.42722209]\n",
      "[ 0.56984122  0.43015878]\n",
      "[ 0.57027763  0.42972237]\n",
      "[ 0.57080781  0.42919219]\n",
      "[ 0.56990255  0.43009745]\n",
      "[ 0.51659136  0.48340864]\n",
      "[ 0.56652805  0.43347195]\n",
      "[ 0.57136026  0.42863974]\n",
      "[ 0.5610461  0.4389539]\n",
      "[ 0.57308508  0.42691492]\n",
      "[ 0.56571437  0.43428563]\n",
      "[ 0.50241435  0.49758565]\n",
      "[ 0.57338427  0.42661573]\n",
      "[ 0.55137897  0.44862103]\n",
      "[ 0.56304184  0.43695816]\n",
      "[ 0.57131951  0.42868049]\n",
      "[ 0.56976877  0.43023123]\n",
      "[ 0.53353493  0.46646507]\n",
      "[ 0.55724  0.44276]\n",
      "[ 0.57077299  0.42922701]\n",
      "[ 0.54926002  0.45073998]\n",
      "[ 0.57149857  0.42850143]\n",
      "[ 0.56368347  0.43631653]\n",
      "[ 0.5543335  0.4456665]\n",
      "[ 0.55385413  0.44614587]\n",
      "[ 0.51970427  0.48029573]\n",
      "[ 0.5631469  0.4368531]\n",
      "[ 0.50279267  0.49720733]\n",
      "[ 0.56353474  0.43646526]\n",
      "[ 0.5648513  0.4351487]\n",
      "[ 0.55656288  0.44343712]\n",
      "[ 0.56382447  0.43617553]\n",
      "[ 0.54601414  0.45398586]\n",
      "[ 0.57178592  0.42821408]\n",
      "[ 0.53343387  0.46656613]\n",
      "[ 0.56654255  0.43345745]\n",
      "[ 0.56712112  0.43287888]\n",
      "[ 0.56960037  0.43039963]\n",
      "[ 0.56536952  0.43463048]\n",
      "[ 0.53764424  0.46235576]\n",
      "[ 0.56934333  0.43065667]\n",
      "[ 0.5412372  0.4587628]\n",
      "[ 0.5698849  0.4301151]\n",
      "[ 0.57168166  0.42831834]\n",
      "[ 0.56776399  0.43223601]\n",
      "[ 0.56873733  0.43126267]\n",
      "[ 0.5163805  0.4836195]\n",
      "[ 0.51675848  0.48324152]\n",
      "[ 0.57332742  0.42667258]\n",
      "[ 0.52296324  0.47703676]\n",
      "[ 0.57077628  0.42922372]\n",
      "[ 0.56951727  0.43048273]\n",
      "[ 0.57128912  0.42871088]\n",
      "[ 0.57007348  0.42992652]\n",
      "[ 0.53958212  0.46041788]\n",
      "[ 0.57096534  0.42903466]\n",
      "[ 0.56184922  0.43815078]\n",
      "[ 0.56780635  0.43219365]\n",
      "[ 0.53764851  0.46235149]\n",
      "[ 0.55886427  0.44113573]\n",
      "[ 0.5361883  0.4638117]\n",
      "[ 0.56298714  0.43701286]\n",
      "[ 0.56351285  0.43648715]\n",
      "[ 0.54767772  0.45232228]\n",
      "[ 0.56582699  0.43417301]\n",
      "[ 0.55903342  0.44096658]\n",
      "[ 0.51113968  0.48886032]\n",
      "[ 0.57022751  0.42977249]\n",
      "[ 0.57046691  0.42953309]\n",
      "[ 0.56433533  0.43566467]\n",
      "[ 0.55846657  0.44153343]\n",
      "[ 0.55261528  0.44738472]\n",
      "[ 0.56364663  0.43635337]\n",
      "[ 0.52363951  0.47636049]\n",
      "[ 0.57344482  0.42655518]\n",
      "[ 0.53087062  0.46912938]\n",
      "[ 0.56912178  0.43087822]\n",
      "[ 0.5694075  0.4305925]\n",
      "[ 0.57348409  0.42651591]\n",
      "[ 0.54575646  0.45424354]\n",
      "[ 0.54957987  0.45042013]\n",
      "[ 0.57260587  0.42739413]\n",
      "[ 0.55485147  0.44514853]\n",
      "[ 0.57265945  0.42734055]\n",
      "[ 0.57134382  0.42865618]\n",
      "[ 0.54893127  0.45106873]\n",
      "[ 0.52638437  0.47361563]\n",
      "[ 0.57194121  0.42805879]\n",
      "[ 0.57399262  0.42600738]\n",
      "[ 0.54383659  0.45616341]\n",
      "[ 0.54041914  0.45958086]\n",
      "[ 0.53677051  0.46322949]\n",
      "[ 0.54252734  0.45747266]\n",
      "[ 0.56755064  0.43244936]\n",
      "[ 0.55996932  0.44003068]\n",
      "[ 0.54164295  0.45835705]\n",
      "[ 0.56174697  0.43825303]\n",
      "[ 0.55992673  0.44007327]\n",
      "[ 0.52369494  0.47630506]\n",
      "[ 0.5481179  0.4518821]\n",
      "[ 0.55534695  0.44465305]\n",
      "[ 0.55657501  0.44342499]\n",
      "[ 0.56664898  0.43335102]\n",
      "[ 0.55532744  0.44467256]\n",
      "[ 0.57142218  0.42857782]\n",
      "[ 0.5408752  0.4591248]\n",
      "[ 0.5449797  0.4550203]\n",
      "[ 0.56127499  0.43872501]\n",
      "[ 0.57148691  0.42851309]\n",
      "[ 0.56841263  0.43158737]\n",
      "[ 0.5664147  0.4335853]\n",
      "[ 0.55830275  0.44169725]\n",
      "[ 0.51504443  0.48495557]\n",
      "[ 0.56838533  0.43161467]\n",
      "[ 0.54063872  0.45936128]\n",
      "[ 0.57292013  0.42707987]\n",
      "[ 0.57373457  0.42626543]\n",
      "[ 0.53132434  0.46867566]\n",
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      "[ 0.54085543  0.45914457]\n",
      "[ 0.5504301  0.4495699]\n",
      "[ 0.56620689  0.43379311]\n",
      "[ 0.57422622  0.42577378]\n",
      "[ 0.57056615  0.42943385]\n",
      "[ 0.57264686  0.42735314]\n",
      "[ 0.53518654  0.46481346]\n",
      "[ 0.56267721  0.43732279]\n",
      "[ 0.57099981  0.42900019]\n",
      "[ 0.57038061  0.42961939]\n",
      "[ 0.56015394  0.43984606]\n",
      "[ 0.53884151  0.46115849]\n",
      "[ 0.57325969  0.42674031]\n",
      "[ 0.57147296  0.42852704]\n",
      "[ 0.573166  0.426834]\n",
      "[ 0.53386238  0.46613762]\n",
      "[ 0.52262344  0.47737656]\n",
      "[ 0.57084786  0.42915214]\n",
      "[ 0.57364756  0.42635244]\n",
      "[ 0.56427249  0.43572751]\n",
      "[ 0.5701379  0.4298621]\n",
      "[ 0.57077039  0.42922961]\n",
      "[ 0.57337954  0.42662046]\n",
      "[ 0.57393615  0.42606385]\n",
      "[ 0.50015974  0.49984026]\n",
      "[ 0.51098971  0.48901029]\n",
      "[ 0.55820688  0.44179312]\n",
      "[ 0.57085547  0.42914453]\n",
      "[ 0.56824903  0.43175097]\n",
      "[ 0.57237648  0.42762352]\n",
      "[ 0.56755361  0.43244639]\n",
      "[ 0.57282162  0.42717838]\n",
      "[ 0.57027996  0.42972004]\n",
      "[ 0.56917604  0.43082396]\n",
      "[ 0.57387921  0.42612079]\n",
      "[ 0.55306176  0.44693824]\n",
      "[ 0.55267591  0.44732409]\n",
      "[ 0.57374886  0.42625114]\n",
      "[ 0.5677699  0.4322301]\n",
      "[ 0.57145638  0.42854362]\n",
      "[ 0.52792126  0.47207874]\n",
      "[ 0.56463548  0.43536452]\n",
      "[ 0.53803716  0.46196284]\n",
      "[ 0.5726808  0.4273192]\n",
      "[ 0.56177236  0.43822764]\n",
      "[ 0.56558447  0.43441553]\n",
      "[ 0.56063208  0.43936792]\n",
      "[ 0.57230603  0.42769397]\n",
      "[ 0.54730164  0.45269836]\n",
      "[ 0.57219324  0.42780676]\n",
      "[ 0.57208429  0.42791571]\n",
      "[ 0.5704853  0.4295147]\n",
      "[ 0.57270593  0.42729407]\n",
      "[ 0.54954753  0.45045247]\n",
      "[ 0.57419679  0.42580321]\n",
      "[ 0.57070556  0.42929444]\n",
      "[ 0.56541174  0.43458826]\n",
      "[ 0.57035608  0.42964392]\n",
      "[ 0.57019001  0.42980999]\n",
      "[ 0.57224543  0.42775457]\n",
      "[ 0.54047892  0.45952108]\n",
      "[ 0.52048829  0.47951171]\n",
      "[ 0.57013876  0.42986124]\n",
      "[ 0.57417512  0.42582488]\n",
      "[ 0.56093357  0.43906643]\n",
      "[ 0.56749268  0.43250732]\n",
      "[ 0.520175  0.479825]\n",
      "[ 0.57215082  0.42784918]\n",
      "[ 0.52428987  0.47571013]\n",
      "[ 0.57326754  0.42673246]\n",
      "[ 0.56829148  0.43170852]\n",
      "[ 0.511794  0.488206]\n",
      "[ 0.56230826  0.43769174]\n",
      "[ 0.55112844  0.44887156]\n",
      "[ 0.56477845  0.43522155]\n",
      "[ 0.56850566  0.43149434]\n",
      "[ 0.55964779  0.44035221]\n",
      "[ 0.56617483  0.43382517]\n",
      "[ 0.52546824  0.47453176]\n",
      "[ 0.56850594  0.43149406]\n",
      "[ 0.54113531  0.45886469]\n",
      "[ 0.50260681  0.49739319]\n",
      "[ 0.54952399  0.45047601]\n",
      "[ 0.57238142  0.42761858]\n",
      "[ 0.57465368  0.42534632]\n",
      "[ 0.56986713  0.43013287]\n",
      "[ 0.57412877  0.42587123]\n",
      "[ 0.56547087  0.43452913]\n",
      "[ 0.56832289  0.43167711]\n",
      "[ 0.56624412  0.43375588]\n",
      "[ 0.57554201  0.42445799]\n",
      "[ 0.56780011  0.43219989]\n",
      "[ 0.56224578  0.43775422]\n",
      "[ 0.57516098  0.42483902]\n",
      "[ 0.56050536  0.43949464]\n",
      "[ 0.55359756  0.44640244]\n",
      "[ 0.56611011  0.43388989]\n",
      "[ 0.5459526  0.4540474]\n",
      "[ 0.56945302  0.43054698]\n",
      "[ 0.5736429  0.4263571]\n",
      "[ 0.56124576  0.43875424]\n",
      "[ 0.53702435  0.46297565]\n",
      "[ 0.56609117  0.43390883]\n",
      "[ 0.52521878  0.47478122]\n",
      "[ 0.52975841  0.47024159]\n",
      "[ 0.53881277  0.46118723]\n",
      "[ 0.56449066  0.43550934]\n",
      "[ 0.56205783  0.43794217]\n",
      "[ 0.57113641  0.42886359]\n",
      "[ 0.53440765  0.46559235]\n",
      "[ 0.57003545  0.42996455]\n",
      "[ 0.52676688  0.47323312]\n",
      "[ 0.53133544  0.46866456]\n",
      "[ 0.54921916  0.45078084]\n",
      "[ 0.57267583  0.42732417]\n",
      "[ 0.57502731  0.42497269]\n",
      "[ 0.57427752  0.42572248]\n",
      "[ 0.55863071  0.44136929]\n",
      "[ 0.5346929  0.4653071]\n",
      "[ 0.54189921  0.45810079]\n",
      "[ 0.53370533  0.46629467]\n",
      "[ 0.55374029  0.44625971]\n",
      "[ 0.54441424  0.45558576]\n",
      "[ 0.55721245  0.44278755]\n",
      "[ 0.57185697  0.42814303]\n",
      "[ 0.55195271  0.44804729]\n",
      "[ 0.53868208  0.46131792]\n",
      "[ 0.57317477  0.42682523]\n",
      "[ 0.56550392  0.43449608]\n",
      "[ 0.54275085  0.45724915]\n",
      "[ 0.56691736  0.43308264]\n",
      "[ 0.5381432  0.4618568]\n",
      "[ 0.57012885  0.42987115]\n",
      "[ 0.57285205  0.42714795]\n",
      "[ 0.5635883  0.4364117]\n",
      "[ 0.56852463  0.43147537]\n",
      "[ 0.56356442  0.43643558]\n",
      "[ 0.57402213  0.42597787]\n",
      "[ 0.5267967  0.4732033]\n",
      "[ 0.5163513  0.4836487]\n",
      "[ 0.55942066  0.44057934]\n",
      "[ 0.57052098  0.42947902]\n",
      "[ 0.55756622  0.44243378]\n",
      "[ 0.5727342  0.4272658]\n",
      "[ 0.56753609  0.43246391]\n",
      "[ 0.57321012  0.42678988]\n",
      "[ 0.55481211  0.44518789]\n",
      "[ 0.56647227  0.43352773]\n",
      "[ 0.56752243  0.43247757]\n",
      "[ 0.5491203  0.4508797]\n",
      "[ 0.56415922  0.43584078]\n",
      "[ 0.56239709  0.43760291]\n",
      "[ 0.57281524  0.42718476]\n",
      "[ 0.56850745  0.43149255]\n",
      "[ 0.52571632  0.47428368]\n",
      "[ 0.54272337  0.45727663]\n",
      "[ 0.57162735  0.42837265]\n",
      "[ 0.50231372  0.49768628]\n",
      "[ 0.52045646  0.47954354]\n",
      "[ 0.53014317  0.46985683]\n",
      "[ 0.52382834  0.47617166]\n",
      "[ 0.54056333  0.45943667]\n",
      "[ 0.53344253  0.46655747]\n",
      "[ 0.57075608  0.42924392]\n",
      "[ 0.52541987  0.47458013]\n",
      "[ 0.56543935  0.43456065]\n",
      "[ 0.55865058  0.44134942]\n",
      "[ 0.55294157  0.44705843]\n",
      "[ 0.56583625  0.43416375]\n",
      "[ 0.54834341  0.45165659]\n",
      "[ 0.535026  0.464974]\n",
      "[ 0.52411308  0.47588692]\n",
      "[ 0.56863979  0.43136021]\n",
      "[ 0.56523856  0.43476144]\n",
      "[ 0.56521898  0.43478102]\n",
      "[ 0.56107548  0.43892452]\n",
      "[ 0.57083485  0.42916515]\n",
      "[ 0.5735687  0.4264313]\n",
      "[ 0.56547466  0.43452534]\n",
      "[ 0.55656108  0.44343892]\n",
      "[ 0.56452466  0.43547534]\n",
      "[ 0.569107  0.430893]\n",
      "[ 0.56217241  0.43782759]\n",
      "[ 0.57265174  0.42734826]\n",
      "[ 0.55874779  0.44125221]\n",
      "[ 0.56762849  0.43237151]\n",
      "[ 0.56728297  0.43271703]\n",
      "[ 0.56784382  0.43215618]\n",
      "[ 0.5543833  0.4456167]\n",
      "[ 0.54222747  0.45777253]\n",
      "[ 0.56886319  0.43113681]\n",
      "[ 0.56126904  0.43873096]\n",
      "[ 0.5660499  0.4339501]\n",
      "[ 0.55874869  0.44125131]\n",
      "[ 0.55885198  0.44114802]\n",
      "[ 0.55296695  0.44703305]\n",
      "[ 0.56432373  0.43567627]\n",
      "[ 0.56497354  0.43502646]\n",
      "[ 0.57339226  0.42660774]\n",
      "[ 0.55339016  0.44660984]\n",
      "[ 0.57258354  0.42741646]\n",
      "[ 0.56392572  0.43607428]\n",
      "[ 0.56923783  0.43076217]\n",
      "[ 0.57349981  0.42650019]\n",
      "[ 0.5250128  0.4749872]\n",
      "[ 0.57266494  0.42733506]\n",
      "[ 0.52743302  0.47256698]\n",
      "[ 0.57222792  0.42777208]\n",
      "[ 0.57340182  0.42659818]\n",
      "[ 0.57207801  0.42792199]\n",
      "[ 0.57267812  0.42732188]\n",
      "[ 0.56183328  0.43816672]\n",
      "[ 0.51467683  0.48532317]\n",
      "[ 0.56745096  0.43254904]\n",
      "[ 0.56060879  0.43939121]\n",
      "[ 0.57223275  0.42776725]\n",
      "[ 0.55704136  0.44295864]\n",
      "[ 0.56160077  0.43839923]\n",
      "[ 0.56441473  0.43558527]\n",
      "[ 0.57132244  0.42867756]\n",
      "[ 0.56924056  0.43075944]\n",
      "[ 0.57275145  0.42724855]\n",
      "[ 0.57169857  0.42830143]\n",
      "[ 0.57162101  0.42837899]\n",
      "[ 0.55704215  0.44295785]\n",
      "[ 0.56756794  0.43243206]\n",
      "[ 0.55940044  0.44059956]\n",
      "[ 0.56619458  0.43380542]\n",
      "[ 0.57368384  0.42631616]\n",
      "[ 0.56169461  0.43830539]\n",
      "[ 0.54405312  0.45594688]\n",
      "[ 0.52968865  0.47031135]\n",
      "[ 0.56908321  0.43091679]\n",
      "[ 0.5652188  0.4347812]\n",
      "[ 0.55895562  0.44104438]\n",
      "[ 0.56990517  0.43009483]\n",
      "[ 0.56118259  0.43881741]\n",
      "[ 0.53622137  0.46377863]\n",
      "[ 0.56528658  0.43471342]\n",
      "[ 0.56403798  0.43596202]\n",
      "[ 0.56175007  0.43824993]\n",
      "[ 0.5601952  0.4398048]\n"
     ]
    }
   ],
   "source": [
    "probas = clf.predict_proba(X_test)\n",
    "\n",
    "for row in probas:\n",
    "    if row[0] > 0.5:\n",
    "        print(row)"
   ]
  }
 ],
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