6.1_Model_XGBoost.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# XGBoost model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "#from sklearn import cross_validation\n",
    "from sklearn.model_selection import cross_validate\n",
    "import xgboost as xgb\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.model_selection import validation_curve\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = (15, 6)\n",
    "plt.rcParams['figure.figsize'] = [20.0,8.0]\n",
    "plt.rcParams['figure.dpi']=80\n",
    "\n",
    "import modify_dataset as md"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Common error function to minimize: Root Mean Square Percentage Error\n",
    "#We will have to integrate our loss function with xgboost\n",
    "\n",
    "def ToWeight(y):\n",
    "    w = np.zeros(y.shape, dtype=float)\n",
    "    ind = y != 0\n",
    "    w[ind] = 1./(y[ind]**2)\n",
    "    return w\n",
    "\n",
    "\n",
    "def rmspe(yhat, y):\n",
    "    w = ToWeight(y)\n",
    "    rmspe = np.sqrt(np.mean( w * (y - yhat)**2 ))\n",
    "    return rmspe\n",
    "\n",
    "\n",
    "def rmspe_xg(yhat, y):\n",
    "    # y = y.values\n",
    "    y = y.get_label()\n",
    "    y = np.exp(y) - 1\n",
    "    yhat = np.exp(yhat) - 1\n",
    "    w = ToWeight(y)\n",
    "    rmspe = np.sqrt(np.mean(w * (y - yhat)**2))\n",
    "    return \"rmspe\", rmspe\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {
    "_cell_guid": "da09e07b-fdfc-30b1-dfff-ad7dc625d15a"
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"dataset/preprocessed_train_PCA.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [],
   "source": [
    "# removing all rows for which store is closed\n",
    "df = df[df.IsOpen == 1]\n",
    "\n",
    "df.drop(['NumberOfCustomers','Date'], axis=1, inplace=True)\n",
    "#df = df.drop(['Region','Events'], axis=1)\n",
    "# I could leave events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [],
   "source": [
    "#for now let's drop unusable categorical vars\n",
    "df.drop(['StoreType','AssortmentType','Events'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {
    "_cell_guid": "6872b7e5-8b37-6aa9-033c-a03dd5647974"
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoreID</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IsHoliday</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IsOpen</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HasPromotions</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NearestCompetitor</th>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberOfSales</th>\n",
       "      <td>5676.000000</td>\n",
       "      <td>8111.000000</td>\n",
       "      <td>8300.000000</td>\n",
       "      <td>7154.000000</td>\n",
       "      <td>10110.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_AreaKM2</th>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_GDP</th>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_PopulationK</th>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CloudCover</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_VisibilityKm</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Min_VisibilitykM</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WindDirDegrees</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>68.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_Day</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_DayOfYear</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>67.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_Month</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_Year</th>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_DayOfweek</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoreType_SuperMarket</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoreType_HyperMarket</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoreType_StandardMarket</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoreType_ShoppingCenter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AssortmentType_General</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AssortmentType_WithNFDept</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AssortmentType_WithFishDept</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MeanStoreSales</th>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MeanRegionSales</th>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_DayOfWeek_cos</th>\n",
       "      <td>0.623490</td>\n",
       "      <td>-0.222521</td>\n",
       "      <td>-0.900969</td>\n",
       "      <td>-0.222521</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_DayOfWeek_sin</th>\n",
       "      <td>0.781831</td>\n",
       "      <td>0.974928</td>\n",
       "      <td>-0.433884</td>\n",
       "      <td>-0.974928</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p1</th>\n",
       "      <td>0.003825</td>\n",
       "      <td>0.003804</td>\n",
       "      <td>0.002159</td>\n",
       "      <td>0.002931</td>\n",
       "      <td>0.002613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p2</th>\n",
       "      <td>0.001433</td>\n",
       "      <td>0.000904</td>\n",
       "      <td>-0.000102</td>\n",
       "      <td>-0.000539</td>\n",
       "      <td>-0.000531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p3</th>\n",
       "      <td>-0.000763</td>\n",
       "      <td>-0.000480</td>\n",
       "      <td>-0.000370</td>\n",
       "      <td>-0.000204</td>\n",
       "      <td>-0.000171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p4</th>\n",
       "      <td>-0.000913</td>\n",
       "      <td>-0.000547</td>\n",
       "      <td>-0.000560</td>\n",
       "      <td>-0.000258</td>\n",
       "      <td>-0.000311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p5</th>\n",
       "      <td>-0.002226</td>\n",
       "      <td>-0.002470</td>\n",
       "      <td>0.000554</td>\n",
       "      <td>0.000438</td>\n",
       "      <td>0.000404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p6</th>\n",
       "      <td>0.002242</td>\n",
       "      <td>0.002301</td>\n",
       "      <td>-0.001106</td>\n",
       "      <td>-0.001455</td>\n",
       "      <td>-0.001347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p7</th>\n",
       "      <td>-0.000720</td>\n",
       "      <td>0.001079</td>\n",
       "      <td>-0.000526</td>\n",
       "      <td>0.001392</td>\n",
       "      <td>0.001290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p8</th>\n",
       "      <td>-0.001161</td>\n",
       "      <td>-0.001190</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>-0.001173</td>\n",
       "      <td>-0.001128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p9</th>\n",
       "      <td>0.000247</td>\n",
       "      <td>0.000050</td>\n",
       "      <td>-0.000166</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p10</th>\n",
       "      <td>-0.000133</td>\n",
       "      <td>0.000141</td>\n",
       "      <td>-0.000515</td>\n",
       "      <td>-0.000551</td>\n",
       "      <td>-0.000353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p11</th>\n",
       "      <td>-0.000345</td>\n",
       "      <td>-0.000294</td>\n",
       "      <td>-0.000338</td>\n",
       "      <td>-0.000326</td>\n",
       "      <td>0.000050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p12</th>\n",
       "      <td>-0.000043</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>0.000414</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.000292</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        0             1             2  \\\n",
       "Unnamed: 0                       0.000000      1.000000      2.000000   \n",
       "StoreID                       1000.000000   1000.000000   1000.000000   \n",
       "IsHoliday                        0.000000      0.000000      0.000000   \n",
       "IsOpen                           1.000000      1.000000      1.000000   \n",
       "HasPromotions                    0.000000      0.000000      0.000000   \n",
       "NearestCompetitor              326.000000    326.000000    326.000000   \n",
       "Region                           7.000000      7.000000      7.000000   \n",
       "NumberOfSales                 5676.000000   8111.000000   8300.000000   \n",
       "Region_AreaKM2                9643.000000   9643.000000   9643.000000   \n",
       "Region_GDP                   17130.000000  17130.000000  17130.000000   \n",
       "Region_PopulationK            2770.000000   2770.000000   2770.000000   \n",
       "CloudCover                       8.000000      8.000000      8.000000   \n",
       "Max_VisibilityKm                 0.000000      1.000000      2.000000   \n",
       "Min_VisibilitykM                 0.000000      1.000000      2.000000   \n",
       "WindDirDegrees                  23.000000     56.000000     22.000000   \n",
       "D_Day                            1.000000      2.000000      4.000000   \n",
       "D_DayOfYear                     61.000000     62.000000     64.000000   \n",
       "D_Month                          3.000000      3.000000      3.000000   \n",
       "D_Year                        2016.000000   2016.000000   2016.000000   \n",
       "D_DayOfweek                      1.000000      2.000000      4.000000   \n",
       "StoreType_SuperMarket            0.000000      0.000000      0.000000   \n",
       "StoreType_HyperMarket            1.000000      1.000000      1.000000   \n",
       "StoreType_StandardMarket         0.000000      0.000000      0.000000   \n",
       "StoreType_ShoppingCenter         0.000000      0.000000      0.000000   \n",
       "AssortmentType_General           1.000000      1.000000      1.000000   \n",
       "AssortmentType_WithNFDept        0.000000      0.000000      0.000000   \n",
       "AssortmentType_WithFishDept      0.000000      0.000000      0.000000   \n",
       "MeanStoreSales                6296.182442   6296.182442   6296.182442   \n",
       "MeanRegionSales               3906.263994   3906.263994   3906.263994   \n",
       "D_DayOfWeek_cos                  0.623490     -0.222521     -0.900969   \n",
       "D_DayOfWeek_sin                  0.781831      0.974928     -0.433884   \n",
       "p1                               0.003825      0.003804      0.002159   \n",
       "p2                               0.001433      0.000904     -0.000102   \n",
       "p3                              -0.000763     -0.000480     -0.000370   \n",
       "p4                              -0.000913     -0.000547     -0.000560   \n",
       "p5                              -0.002226     -0.002470      0.000554   \n",
       "p6                               0.002242      0.002301     -0.001106   \n",
       "p7                              -0.000720      0.001079     -0.000526   \n",
       "p8                              -0.001161     -0.001190     -0.001300   \n",
       "p9                               0.000247      0.000050     -0.000166   \n",
       "p10                             -0.000133      0.000141     -0.000515   \n",
       "p11                             -0.000345     -0.000294     -0.000338   \n",
       "p12                             -0.000043      0.000167      0.000414   \n",
       "\n",
       "                                        3             5  \n",
       "Unnamed: 0                       3.000000      5.000000  \n",
       "StoreID                       1000.000000   1000.000000  \n",
       "IsHoliday                        0.000000      0.000000  \n",
       "IsOpen                           1.000000      1.000000  \n",
       "HasPromotions                    0.000000      1.000000  \n",
       "NearestCompetitor              326.000000    326.000000  \n",
       "Region                           7.000000      7.000000  \n",
       "NumberOfSales                 7154.000000  10110.000000  \n",
       "Region_AreaKM2                9643.000000   9643.000000  \n",
       "Region_GDP                   17130.000000  17130.000000  \n",
       "Region_PopulationK            2770.000000   2770.000000  \n",
       "CloudCover                       6.000000      0.000000  \n",
       "Max_VisibilityKm                 3.000000      5.000000  \n",
       "Min_VisibilitykM                 3.000000      5.000000  \n",
       "WindDirDegrees                 108.000000     68.000000  \n",
       "D_Day                            5.000000      7.000000  \n",
       "D_DayOfYear                     65.000000     67.000000  \n",
       "D_Month                          3.000000      3.000000  \n",
       "D_Year                        2016.000000   2016.000000  \n",
       "D_DayOfweek                      5.000000      0.000000  \n",
       "StoreType_SuperMarket            0.000000      0.000000  \n",
       "StoreType_HyperMarket            1.000000      1.000000  \n",
       "StoreType_StandardMarket         0.000000      0.000000  \n",
       "StoreType_ShoppingCenter         0.000000      0.000000  \n",
       "AssortmentType_General           1.000000      1.000000  \n",
       "AssortmentType_WithNFDept        0.000000      0.000000  \n",
       "AssortmentType_WithFishDept      0.000000      0.000000  \n",
       "MeanStoreSales                6296.182442   6296.182442  \n",
       "MeanRegionSales               3906.263994   3906.263994  \n",
       "D_DayOfWeek_cos                 -0.222521      1.000000  \n",
       "D_DayOfWeek_sin                 -0.974928      0.000000  \n",
       "p1                               0.002931      0.002613  \n",
       "p2                              -0.000539     -0.000531  \n",
       "p3                              -0.000204     -0.000171  \n",
       "p4                              -0.000258     -0.000311  \n",
       "p5                               0.000438      0.000404  \n",
       "p6                              -0.001455     -0.001347  \n",
       "p7                               0.001392      0.001290  \n",
       "p8                              -0.001173     -0.001128  \n",
       "p9                               0.000203      0.000372  \n",
       "p10                             -0.000551     -0.000353  \n",
       "p11                             -0.000326      0.000050  \n",
       "p12                              0.000250      0.000292  "
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(433958, 43)"
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_months = (3, 4)\n",
    "test_year = 2016\n",
    "\n",
    "train = md.get_fake_train(df, test_months, test_year)\n",
    "test = md.get_fake_test(df, test_months, test_year)\n",
    "\n",
    "print('df.shape    ', df.shape)\n",
    "print('train.shape ', train.shape)\n",
    "print('test.shape  ', test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(\"Load the training, test and store data using pandas\")\n",
    "#train = pd.read_csv(\"train.csv\",low_memory=False)\n",
    "#test = pd.read_csv(\"test.csv\")\n",
    "#store = pd.read_csv(\"store.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selecting predictive features "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>61</th>\n",
       "      <th>62</th>\n",
       "      <th>64</th>\n",
       "      <th>65</th>\n",
       "      <th>66</th>\n",
       "      <th>68</th>\n",
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       "      <th>70</th>\n",
       "      <th>72</th>\n",
       "      <th>73</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoreID</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IsHoliday</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>IsOpen</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HasPromotions</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</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>NearestCompetitor</th>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>326.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberOfSales</th>\n",
       "      <td>8749.000000</td>\n",
       "      <td>11503.000000</td>\n",
       "      <td>10315.000000</td>\n",
       "      <td>10059.000000</td>\n",
       "      <td>6967.000000</td>\n",
       "      <td>7308.000000</td>\n",
       "      <td>7378.000000</td>\n",
       "      <td>7616.000000</td>\n",
       "      <td>8342.000000</td>\n",
       "      <td>6530.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_AreaKM2</th>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "      <td>9643.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_GDP</th>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "      <td>17130.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_PopulationK</th>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CloudCover</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_Dew_PointC</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_Humidity</th>\n",
       "      <td>93.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_Sea_Level_PressurehPa</th>\n",
       "      <td>1021.000000</td>\n",
       "      <td>1024.000000</td>\n",
       "      <td>1020.000000</td>\n",
       "      <td>1019.000000</td>\n",
       "      <td>1021.000000</td>\n",
       "      <td>1022.000000</td>\n",
       "      <td>1016.000000</td>\n",
       "      <td>1015.000000</td>\n",
       "      <td>1018.000000</td>\n",
       "      <td>1019.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_TemperatureC</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_VisibilityKm</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max_Wind_SpeedKm_h</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>35.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_Dew_PointC</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_Humidity</th>\n",
       "      <td>66.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>67.000000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_Sea_Level_PressurehPa</th>\n",
       "      <td>1017.000000</td>\n",
       "      <td>1021.000000</td>\n",
       "      <td>1019.000000</td>\n",
       "      <td>1016.000000</td>\n",
       "      <td>1018.000000</td>\n",
       "      <td>1018.000000</td>\n",
       "      <td>1015.000000</td>\n",
       "      <td>1013.000000</td>\n",
       "      <td>1015.000000</td>\n",
       "      <td>1016.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_TemperatureC</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_VisibilityKm</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean_Wind_SpeedKm_h</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>13.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Min_Dew_PointC</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Min_Humidity</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>41.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Min_Sea_Level_PressurehPa</th>\n",
       "      <td>1016.000000</td>\n",
       "      <td>1020.000000</td>\n",
       "      <td>1018.000000</td>\n",
       "      <td>1014.000000</td>\n",
       "      <td>1016.000000</td>\n",
       "      <td>1015.000000</td>\n",
       "      <td>1013.000000</td>\n",
       "      <td>1011.000000</td>\n",
       "      <td>1013.000000</td>\n",
       "      <td>1014.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Min_TemperatureC</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Min_VisibilitykM</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Precipitationmm</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.030000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WindDirDegrees</th>\n",
       "      <td>207.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>201.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>204.000000</td>\n",
       "      <td>231.000000</td>\n",
       "      <td>214.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_Day</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_DayOfYear</th>\n",
       "      <td>123.000000</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>127.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>132.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>135.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_Month</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_Year</th>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_DayOfweek</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoreType_SuperMarket</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <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>StoreType_HyperMarket</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoreType_StandardMarket</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <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>StoreType_ShoppingCenter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <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>AssortmentType_General</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AssortmentType_WithNFDept</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <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>AssortmentType_WithFishDept</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <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>Events_Fog</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Events_Hail</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <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>Events_Rain</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Events_Snow</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <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>Events_Thunderstorm</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MeanStoreSales</th>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "      <td>6296.182442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MeanRegionSales</th>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "      <td>3906.263994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_DayOfWeek_cos</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.623490</td>\n",
       "      <td>-0.900969</td>\n",
       "      <td>-0.900969</td>\n",
       "      <td>-0.222521</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.623490</td>\n",
       "      <td>-0.222521</td>\n",
       "      <td>-0.900969</td>\n",
       "      <td>-0.222521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_DayOfWeek_sin</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.781831</td>\n",
       "      <td>0.433884</td>\n",
       "      <td>-0.433884</td>\n",
       "      <td>-0.974928</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.781831</td>\n",
       "      <td>0.974928</td>\n",
       "      <td>-0.433884</td>\n",
       "      <td>-0.974928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p1</th>\n",
       "      <td>0.003825</td>\n",
       "      <td>0.003804</td>\n",
       "      <td>0.002159</td>\n",
       "      <td>0.002931</td>\n",
       "      <td>0.002613</td>\n",
       "      <td>0.002367</td>\n",
       "      <td>0.001858</td>\n",
       "      <td>0.000473</td>\n",
       "      <td>-0.000417</td>\n",
       "      <td>-0.000215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p2</th>\n",
       "      <td>0.001433</td>\n",
       "      <td>0.000904</td>\n",
       "      <td>-0.000102</td>\n",
       "      <td>-0.000539</td>\n",
       "      <td>-0.000531</td>\n",
       "      <td>-0.000662</td>\n",
       "      <td>-0.000675</td>\n",
       "      <td>-0.000457</td>\n",
       "      <td>-0.000287</td>\n",
       "      <td>-0.000300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p3</th>\n",
       "      <td>-0.000763</td>\n",
       "      <td>-0.000480</td>\n",
       "      <td>-0.000370</td>\n",
       "      <td>-0.000204</td>\n",
       "      <td>-0.000171</td>\n",
       "      <td>-0.000085</td>\n",
       "      <td>-0.000023</td>\n",
       "      <td>-0.000015</td>\n",
       "      <td>-0.000018</td>\n",
       "      <td>-0.000019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p4</th>\n",
       "      <td>-0.000913</td>\n",
       "      <td>-0.000547</td>\n",
       "      <td>-0.000560</td>\n",
       "      <td>-0.000258</td>\n",
       "      <td>-0.000311</td>\n",
       "      <td>-0.000192</td>\n",
       "      <td>-0.000307</td>\n",
       "      <td>-0.000647</td>\n",
       "      <td>-0.000792</td>\n",
       "      <td>-0.000840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p5</th>\n",
       "      <td>-0.002226</td>\n",
       "      <td>-0.002470</td>\n",
       "      <td>0.000554</td>\n",
       "      <td>0.000438</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.000326</td>\n",
       "      <td>0.000255</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>0.000233</td>\n",
       "      <td>0.000170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p6</th>\n",
       "      <td>0.002242</td>\n",
       "      <td>0.002301</td>\n",
       "      <td>-0.001106</td>\n",
       "      <td>-0.001455</td>\n",
       "      <td>-0.001347</td>\n",
       "      <td>-0.001209</td>\n",
       "      <td>-0.001034</td>\n",
       "      <td>-0.000540</td>\n",
       "      <td>-0.000106</td>\n",
       "      <td>-0.000220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p7</th>\n",
       "      <td>-0.000720</td>\n",
       "      <td>0.001079</td>\n",
       "      <td>-0.000526</td>\n",
       "      <td>0.001392</td>\n",
       "      <td>0.001290</td>\n",
       "      <td>0.001487</td>\n",
       "      <td>0.001395</td>\n",
       "      <td>-0.000026</td>\n",
       "      <td>-0.000303</td>\n",
       "      <td>-0.000695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p8</th>\n",
       "      <td>-0.001161</td>\n",
       "      <td>-0.001190</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>-0.001173</td>\n",
       "      <td>-0.001128</td>\n",
       "      <td>-0.001246</td>\n",
       "      <td>-0.001193</td>\n",
       "      <td>-0.001330</td>\n",
       "      <td>-0.001289</td>\n",
       "      <td>-0.001245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p9</th>\n",
       "      <td>0.000247</td>\n",
       "      <td>0.000050</td>\n",
       "      <td>-0.000166</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000372</td>\n",
       "      <td>-0.000064</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>-0.000295</td>\n",
       "      <td>-0.000152</td>\n",
       "      <td>0.000023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p10</th>\n",
       "      <td>-0.000133</td>\n",
       "      <td>0.000141</td>\n",
       "      <td>-0.000515</td>\n",
       "      <td>-0.000551</td>\n",
       "      <td>-0.000353</td>\n",
       "      <td>-0.000653</td>\n",
       "      <td>-0.000469</td>\n",
       "      <td>-0.001379</td>\n",
       "      <td>-0.000605</td>\n",
       "      <td>-0.000104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p11</th>\n",
       "      <td>-0.000345</td>\n",
       "      <td>-0.000294</td>\n",
       "      <td>-0.000338</td>\n",
       "      <td>-0.000326</td>\n",
       "      <td>0.000050</td>\n",
       "      <td>-0.000044</td>\n",
       "      <td>0.000078</td>\n",
       "      <td>-0.000204</td>\n",
       "      <td>-0.000213</td>\n",
       "      <td>0.000305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p12</th>\n",
       "      <td>-0.000043</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>0.000414</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>-0.000106</td>\n",
       "      <td>-0.000048</td>\n",
       "      <td>-0.000168</td>\n",
       "      <td>0.000121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       61            62            64  \\\n",
       "StoreID                       1000.000000   1000.000000   1000.000000   \n",
       "IsHoliday                        0.000000      0.000000      0.000000   \n",
       "IsOpen                           1.000000      1.000000      1.000000   \n",
       "HasPromotions                    1.000000      1.000000      1.000000   \n",
       "NearestCompetitor              326.000000    326.000000    326.000000   \n",
       "Region                           7.000000      7.000000      7.000000   \n",
       "NumberOfSales                 8749.000000  11503.000000  10315.000000   \n",
       "Region_AreaKM2                9643.000000   9643.000000   9643.000000   \n",
       "Region_GDP                   17130.000000  17130.000000  17130.000000   \n",
       "Region_PopulationK            2770.000000   2770.000000   2770.000000   \n",
       "CloudCover                       6.000000      8.000000      4.000000   \n",
       "Max_Dew_PointC                   7.000000      9.000000      9.000000   \n",
       "Max_Humidity                    93.000000    100.000000     82.000000   \n",
       "Max_Sea_Level_PressurehPa     1021.000000   1024.000000   1020.000000   \n",
       "Max_TemperatureC                16.000000     13.000000     17.000000   \n",
       "Max_VisibilityKm                61.000000     62.000000     64.000000   \n",
       "Max_Wind_SpeedKm_h              23.000000     19.000000     27.000000   \n",
       "Mean_Dew_PointC                  5.000000      6.000000      9.000000   \n",
       "Mean_Humidity                   66.000000     71.000000     68.000000   \n",
       "Mean_Sea_Level_PressurehPa    1017.000000   1021.000000   1019.000000   \n",
       "Mean_TemperatureC               12.000000     10.000000     14.000000   \n",
       "Mean_VisibilityKm               61.000000     62.000000     64.000000   \n",
       "Mean_Wind_SpeedKm_h             10.000000     11.000000     13.000000   \n",
       "Min_Dew_PointC                   2.000000      3.000000      8.000000   \n",
       "Min_Humidity                    29.000000     43.000000     49.000000   \n",
       "Min_Sea_Level_PressurehPa     1016.000000   1020.000000   1018.000000   \n",
       "Min_TemperatureC                 8.000000      7.000000     11.000000   \n",
       "Min_VisibilitykM                61.000000     62.000000     64.000000   \n",
       "Precipitationmm                  0.000000      2.030000      0.000000   \n",
       "WindDirDegrees                 207.000000     28.000000     38.000000   \n",
       "D_Day                            2.000000      3.000000      5.000000   \n",
       "D_DayOfYear                    123.000000    124.000000    126.000000   \n",
       "D_Month                          5.000000      5.000000      5.000000   \n",
       "D_Year                        2016.000000   2016.000000   2016.000000   \n",
       "D_DayOfweek                      0.000000      1.000000      3.000000   \n",
       "StoreType_SuperMarket            0.000000      0.000000      0.000000   \n",
       "StoreType_HyperMarket            1.000000      1.000000      1.000000   \n",
       "StoreType_StandardMarket         0.000000      0.000000      0.000000   \n",
       "StoreType_ShoppingCenter         0.000000      0.000000      0.000000   \n",
       "AssortmentType_General           1.000000      1.000000      1.000000   \n",
       "AssortmentType_WithNFDept        0.000000      0.000000      0.000000   \n",
       "AssortmentType_WithFishDept      0.000000      0.000000      0.000000   \n",
       "Events_Fog                       0.000000      0.000000      0.000000   \n",
       "Events_Hail                      0.000000      0.000000      0.000000   \n",
       "Events_Rain                      0.000000      1.000000      1.000000   \n",
       "Events_Snow                      0.000000      0.000000      0.000000   \n",
       "Events_Thunderstorm              0.000000      0.000000      0.000000   \n",
       "MeanStoreSales                6296.182442   6296.182442   6296.182442   \n",
       "MeanRegionSales               3906.263994   3906.263994   3906.263994   \n",
       "D_DayOfWeek_cos                  1.000000      0.623490     -0.900969   \n",
       "D_DayOfWeek_sin                  0.000000      0.781831      0.433884   \n",
       "\n",
       "                                       65            66            68  \\\n",
       "StoreID                       1000.000000   1000.000000   1000.000000   \n",
       "IsHoliday                        0.000000      0.000000      0.000000   \n",
       "IsOpen                           1.000000      1.000000      1.000000   \n",
       "HasPromotions                    1.000000      0.000000      0.000000   \n",
       "NearestCompetitor              326.000000    326.000000    326.000000   \n",
       "Region                           7.000000      7.000000      7.000000   \n",
       "NumberOfSales                10059.000000   6967.000000   7308.000000   \n",
       "Region_AreaKM2                9643.000000   9643.000000   9643.000000   \n",
       "Region_GDP                   17130.000000  17130.000000  17130.000000   \n",
       "Region_PopulationK            2770.000000   2770.000000   2770.000000   \n",
       "CloudCover                       6.000000      6.000000      4.000000   \n",
       "Max_Dew_PointC                  11.000000     13.000000     11.000000   \n",
       "Max_Humidity                    94.000000    100.000000     93.000000   \n",
       "Max_Sea_Level_PressurehPa     1019.000000   1021.000000   1022.000000   \n",
       "Max_TemperatureC                18.000000     17.000000     23.000000   \n",
       "Max_VisibilityKm                65.000000     66.000000     68.000000   \n",
       "Max_Wind_SpeedKm_h              16.000000     21.000000     21.000000   \n",
       "Mean_Dew_PointC                  9.000000     11.000000      8.000000   \n",
       "Mean_Humidity                   67.000000     81.000000     58.000000   \n",
       "Mean_Sea_Level_PressurehPa    1016.000000   1018.000000   1018.000000   \n",
       "Mean_TemperatureC               14.000000     14.000000     16.000000   \n",
       "Mean_VisibilityKm               65.000000     66.000000     68.000000   \n",
       "Mean_Wind_SpeedKm_h             11.000000      8.000000     10.000000   \n",
       "Min_Dew_PointC                   8.000000      9.000000      7.000000   \n",
       "Min_Humidity                    41.000000     57.000000     27.000000   \n",
       "Min_Sea_Level_PressurehPa     1014.000000   1016.000000   1015.000000   \n",
       "Min_TemperatureC                 9.000000     11.000000      8.000000   \n",
       "Min_VisibilitykM                65.000000     66.000000     68.000000   \n",
       "Precipitationmm                  0.000000      0.250000      0.000000   \n",
       "WindDirDegrees                  35.000000    201.000000     34.000000   \n",
       "D_Day                            6.000000      7.000000      9.000000   \n",
       "D_DayOfYear                    127.000000    128.000000    130.000000   \n",
       "D_Month                          5.000000      5.000000      5.000000   \n",
       "D_Year                        2016.000000   2016.000000   2016.000000   \n",
       "D_DayOfweek                      4.000000      5.000000      0.000000   \n",
       "StoreType_SuperMarket            0.000000      0.000000      0.000000   \n",
       "StoreType_HyperMarket            1.000000      1.000000      1.000000   \n",
       "StoreType_StandardMarket         0.000000      0.000000      0.000000   \n",
       "StoreType_ShoppingCenter         0.000000      0.000000      0.000000   \n",
       "AssortmentType_General           1.000000      1.000000      1.000000   \n",
       "AssortmentType_WithNFDept        0.000000      0.000000      0.000000   \n",
       "AssortmentType_WithFishDept      0.000000      0.000000      0.000000   \n",
       "Events_Fog                       0.000000      1.000000      0.000000   \n",
       "Events_Hail                      0.000000      0.000000      0.000000   \n",
       "Events_Rain                      1.000000      1.000000      0.000000   \n",
       "Events_Snow                      0.000000      0.000000      0.000000   \n",
       "Events_Thunderstorm              0.000000      1.000000      0.000000   \n",
       "MeanStoreSales                6296.182442   6296.182442   6296.182442   \n",
       "MeanRegionSales               3906.263994   3906.263994   3906.263994   \n",
       "D_DayOfWeek_cos                 -0.900969     -0.222521      1.000000   \n",
       "D_DayOfWeek_sin                 -0.433884     -0.974928      0.000000   \n",
       "\n",
       "                                       69            70            72  \\\n",
       "StoreID                       1000.000000   1000.000000   1000.000000   \n",
       "IsHoliday                        0.000000      0.000000      0.000000   \n",
       "IsOpen                           1.000000      1.000000      1.000000   \n",
       "HasPromotions                    0.000000      0.000000      0.000000   \n",
       "NearestCompetitor              326.000000    326.000000    326.000000   \n",
       "Region                           7.000000      7.000000      7.000000   \n",
       "NumberOfSales                 7378.000000   7616.000000   8342.000000   \n",
       "Region_AreaKM2                9643.000000   9643.000000   9643.000000   \n",
       "Region_GDP                   17130.000000  17130.000000  17130.000000   \n",
       "Region_PopulationK            2770.000000   2770.000000   2770.000000   \n",
       "CloudCover                       5.000000      3.000000      6.000000   \n",
       "Max_Dew_PointC                  16.000000     13.000000     12.000000   \n",
       "Max_Humidity                   100.000000    100.000000     82.000000   \n",
       "Max_Sea_Level_PressurehPa     1016.000000   1015.000000   1018.000000   \n",
       "Max_TemperatureC                19.000000     23.000000     17.000000   \n",
       "Max_VisibilityKm                69.000000     70.000000     72.000000   \n",
       "Max_Wind_SpeedKm_h              14.000000     21.000000     29.000000   \n",
       "Mean_Dew_PointC                 12.000000     11.000000      7.000000   \n",
       "Mean_Humidity                   82.000000     69.000000     59.000000   \n",
       "Mean_Sea_Level_PressurehPa    1015.000000   1013.000000   1015.000000   \n",
       "Mean_TemperatureC               15.000000     16.000000     14.000000   \n",
       "Mean_VisibilityKm               69.000000     70.000000     72.000000   \n",
       "Mean_Wind_SpeedKm_h              6.000000      6.000000     16.000000   \n",
       "Min_Dew_PointC                  10.000000      9.000000      4.000000   \n",
       "Min_Humidity                    54.000000     33.000000     32.000000   \n",
       "Min_Sea_Level_PressurehPa     1013.000000   1011.000000   1013.000000   \n",
       "Min_TemperatureC                11.000000      9.000000     11.000000   \n",
       "Min_VisibilitykM                69.000000     70.000000     72.000000   \n",
       "Precipitationmm                  2.030000      0.250000      0.000000   \n",
       "WindDirDegrees                 144.000000    204.000000    231.000000   \n",
       "D_Day                           10.000000     11.000000     13.000000   \n",
       "D_DayOfYear                    131.000000    132.000000    134.000000   \n",
       "D_Month                          5.000000      5.000000      5.000000   \n",
       "D_Year                        2016.000000   2016.000000   2016.000000   \n",
       "D_DayOfweek                      1.000000      2.000000      4.000000   \n",
       "StoreType_SuperMarket            0.000000      0.000000      0.000000   \n",
       "StoreType_HyperMarket            1.000000      1.000000      1.000000   \n",
       "StoreType_StandardMarket         0.000000      0.000000      0.000000   \n",
       "StoreType_ShoppingCenter         0.000000      0.000000      0.000000   \n",
       "AssortmentType_General           1.000000      1.000000      1.000000   \n",
       "AssortmentType_WithNFDept        0.000000      0.000000      0.000000   \n",
       "AssortmentType_WithFishDept      0.000000      0.000000      0.000000   \n",
       "Events_Fog                       1.000000      1.000000      0.000000   \n",
       "Events_Hail                      0.000000      0.000000      0.000000   \n",
       "Events_Rain                      1.000000      1.000000      1.000000   \n",
       "Events_Snow                      0.000000      0.000000      0.000000   \n",
       "Events_Thunderstorm              0.000000      0.000000      0.000000   \n",
       "MeanStoreSales                6296.182442   6296.182442   6296.182442   \n",
       "MeanRegionSales               3906.263994   3906.263994   3906.263994   \n",
       "D_DayOfWeek_cos                  0.623490     -0.222521     -0.900969   \n",
       "D_DayOfWeek_sin                  0.781831      0.974928     -0.433884   \n",
       "\n",
       "                                       73  \n",
       "StoreID                       1000.000000  \n",
       "IsHoliday                        0.000000  \n",
       "IsOpen                           1.000000  \n",
       "HasPromotions                    0.000000  \n",
       "NearestCompetitor              326.000000  \n",
       "Region                           7.000000  \n",
       "NumberOfSales                 6530.000000  \n",
       "Region_AreaKM2                9643.000000  \n",
       "Region_GDP                   17130.000000  \n",
       "Region_PopulationK            2770.000000  \n",
       "CloudCover                       6.000000  \n",
       "Max_Dew_PointC                  12.000000  \n",
       "Max_Humidity                   100.000000  \n",
       "Max_Sea_Level_PressurehPa     1019.000000  \n",
       "Max_TemperatureC                17.000000  \n",
       "Max_VisibilityKm                73.000000  \n",
       "Max_Wind_SpeedKm_h              35.000000  \n",
       "Mean_Dew_PointC                  8.000000  \n",
       "Mean_Humidity                   73.000000  \n",
       "Mean_Sea_Level_PressurehPa    1016.000000  \n",
       "Mean_TemperatureC               14.000000  \n",
       "Mean_VisibilityKm               73.000000  \n",
       "Mean_Wind_SpeedKm_h             13.000000  \n",
       "Min_Dew_PointC                   5.000000  \n",
       "Min_Humidity                    41.000000  \n",
       "Min_Sea_Level_PressurehPa     1014.000000  \n",
       "Min_TemperatureC                11.000000  \n",
       "Min_VisibilitykM                73.000000  \n",
       "Precipitationmm                  2.030000  \n",
       "WindDirDegrees                 214.000000  \n",
       "D_Day                           14.000000  \n",
       "D_DayOfYear                    135.000000  \n",
       "D_Month                          5.000000  \n",
       "D_Year                        2016.000000  \n",
       "D_DayOfweek                      5.000000  \n",
       "StoreType_SuperMarket            0.000000  \n",
       "StoreType_HyperMarket            1.000000  \n",
       "StoreType_StandardMarket         0.000000  \n",
       "StoreType_ShoppingCenter         0.000000  \n",
       "AssortmentType_General           1.000000  \n",
       "AssortmentType_WithNFDept        0.000000  \n",
       "AssortmentType_WithFishDept      0.000000  \n",
       "MeanStoreSales                6296.182442  \n",
       "MeanRegionSales               3906.263994  \n",
       "D_DayOfWeek_cos                 -0.222521  \n",
       "D_DayOfWeek_sin                 -0.974928  \n",
       "p1                              -0.000215  \n",
       "p2                              -0.000300  \n",
       "p3                              -0.000019  \n",
       "p4                              -0.000840  \n",
       "p5                               0.000170  \n",
       "p6                              -0.000220  \n",
       "p7                              -0.000695  \n",
       "p8                              -0.001245  \n",
       "p9                               0.000023  \n",
       "p10                             -0.000104  \n",
       "p11                              0.000305  \n",
       "p12                              0.000121  "
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(10).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "features\n",
      "['Unnamed: 0',\n",
      " 'IsHoliday',\n",
      " 'HasPromotions',\n",
      " 'NearestCompetitor',\n",
      " 'Region',\n",
      " 'Region_AreaKM2',\n",
      " 'Region_GDP',\n",
      " 'Region_PopulationK',\n",
      " 'CloudCover',\n",
      " 'Max_Dew_PointC',\n",
      " 'Max_Sea_Level_PressurehPa',\n",
      " 'Max_TemperatureC',\n",
      " 'Mean_Dew_PointC',\n",
      " 'Mean_Humidity',\n",
      " 'Mean_Sea_Level_PressurehPa',\n",
      " 'Mean_TemperatureC',\n",
      " 'Mean_VisibilityKm',\n",
      " 'Mean_Wind_SpeedKm_h',\n",
      " 'Min_Humidity',\n",
      " 'Min_Sea_Level_PressurehPa',\n",
      " 'Min_TemperatureC',\n",
      " 'Min_VisibilitykM',\n",
      " 'WindDirDegrees',\n",
      " 'D_Day',\n",
      " 'D_DayOfYear',\n",
      " 'D_Month',\n",
      " 'D_Year',\n",
      " 'StoreType_SuperMarket',\n",
      " 'StoreType_HyperMarket',\n",
      " 'StoreType_StandardMarket',\n",
      " 'StoreType_ShoppingCenter',\n",
      " 'AssortmentType_General',\n",
      " 'AssortmentType_WithNFDept',\n",
      " 'AssortmentType_WithFishDept',\n",
      " 'Events_Rain',\n",
      " 'Events_Snow',\n",
      " 'MeanStoreSales',\n",
      " 'MeanRegionSales',\n",
      " 'D_DayOfWeek_cos',\n",
      " 'D_DayOfWeek_sin',\n",
      " 'p1',\n",
      " 'p2',\n",
      " 'p3',\n",
      " 'p4',\n",
      " 'p5',\n",
      " 'p6',\n",
      " 'p7',\n",
      " 'p8',\n",
      " 'p9',\n",
      " 'p10',\n",
      " 'p11',\n",
      " 'p12']\n"
     ]
    }
   ],
   "source": [
    "from pprint import pprint\n",
    "features = list(train.columns.values)\n",
    "features.remove('NumberOfSales')\n",
    "features.remove('StoreID')\n",
    "features.remove('IsOpen')\n",
    "features.remove('D_DayOfweek')\n",
    "#features.remove('Region')\n",
    "#features.remove('Region_GDP')\n",
    "features.remove('Max_Humidity')\n",
    "features.remove('Min_Dew_PointC')\n",
    "features.remove('Max_Wind_SpeedKm_h')\n",
    "features.remove('Max_VisibilityKm')\n",
    "#features.remove('Min_Sea_Level_PressurehPa')\n",
    "#features.remove('Precipitationmm')\n",
    "#features.remove('Mean_Dew_PointC')\n",
    "#features.remove('Mean_Wind_SpeedKm_h')\n",
    "features.remove('Events_Thunderstorm')\n",
    "features.remove('Events_Fog')\n",
    "#features.remove('Events_Snow') KEEP SNOW\n",
    "#features.remove('Events_Rain') KEEP RAIN\n",
    "features.remove('Events_Hail')\n",
    "\n",
    "\n",
    "print(\"features\")\n",
    "\n",
    "pprint(features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = {\n",
    "    \"objective\": \"reg:linear\",\n",
    "    \"eta\": 0.2,\n",
    "    \"max_depth\": 8,\n",
    "    \"subsample\": 1.0,\n",
    "    \"colsample_bytree\": 0.3, #0.3\n",
    "    \"silent\": 1,\n",
    "    \"nthread\":-1,\n",
    "    #added as a test\n",
    "    \"eval_metric\": \"rmse\",\n",
    "    #\"gamma\": 2  #added as a test\n",
    "}\n",
    "\n",
    "#reg_alpha \n",
    "#reg_lambda\n",
    "num_trees = 100 #400"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {},
   "outputs": [],
   "source": [
    "#split in train and test (not real test which is called test and is the fake test provided by md)\n",
    "X_train, X_test = train_test_split(train, test_size=0.05)\n",
    "#X_train, X_test = train.head(len(train) - val_size), train.tail(val_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtrain = xgb.DMatrix(X_train[features], np.log(X_train[\"NumberOfSales\"] + 1))\n",
    "dvalid = xgb.DMatrix(X_test[features], np.log(X_test[\"NumberOfSales\"] + 1))\n",
    "#dtest = xgb.DMatrix(test[features])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(376701, 51)"
      ]
     },
     "execution_count": 306,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19827, 51)"
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "metadata": {},
   "outputs": [],
   "source": [
    "#watchlist = [(dvalid, 'test'), (dtrain, 'train')]\n",
    "#gbm = xgb.train(params, dtrain, num_trees, evals=watchlist, early_stopping_rounds=20, feval=rmspe_xg, verbose_eval=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\ttest-rmse:6.3333\ttrain-rmse:6.33491\n",
      "Multiple eval metrics have been passed: 'train-rmse' will be used for early stopping.\n",
      "\n",
      "Will train until train-rmse hasn't improved in 20 rounds.\n",
      "[1]\ttest-rmse:5.06878\ttrain-rmse:5.0707\n",
      "[2]\ttest-rmse:4.05774\ttrain-rmse:4.06018\n",
      "[3]\ttest-rmse:3.25002\ttrain-rmse:3.25189\n",
      "[4]\ttest-rmse:2.60366\ttrain-rmse:2.60576\n",
      "[5]\ttest-rmse:2.08865\ttrain-rmse:2.0901\n",
      "[6]\ttest-rmse:1.67823\ttrain-rmse:1.67927\n",
      "[7]\ttest-rmse:1.3508\ttrain-rmse:1.35152\n",
      "[8]\ttest-rmse:1.09067\ttrain-rmse:1.09136\n",
      "[9]\ttest-rmse:0.882281\ttrain-rmse:0.883084\n",
      "[10]\ttest-rmse:0.719802\ttrain-rmse:0.720363\n",
      "[11]\ttest-rmse:0.588634\ttrain-rmse:0.588727\n",
      "[12]\ttest-rmse:0.483962\ttrain-rmse:0.483658\n",
      "[13]\ttest-rmse:0.405124\ttrain-rmse:0.404342\n",
      "[14]\ttest-rmse:0.345374\ttrain-rmse:0.344246\n",
      "[15]\ttest-rmse:0.299288\ttrain-rmse:0.297833\n",
      "[16]\ttest-rmse:0.263892\ttrain-rmse:0.261813\n",
      "[17]\ttest-rmse:0.240547\ttrain-rmse:0.237933\n",
      "[18]\ttest-rmse:0.221192\ttrain-rmse:0.218021\n",
      "[19]\ttest-rmse:0.209901\ttrain-rmse:0.206396\n",
      "[20]\ttest-rmse:0.201884\ttrain-rmse:0.197893\n",
      "[21]\ttest-rmse:0.19134\ttrain-rmse:0.187167\n",
      "[22]\ttest-rmse:0.186259\ttrain-rmse:0.181811\n",
      "[23]\ttest-rmse:0.179849\ttrain-rmse:0.174962\n",
      "[24]\ttest-rmse:0.177869\ttrain-rmse:0.172743\n",
      "[25]\ttest-rmse:0.175384\ttrain-rmse:0.169652\n",
      "[26]\ttest-rmse:0.172716\ttrain-rmse:0.166746\n",
      "[27]\ttest-rmse:0.170319\ttrain-rmse:0.164124\n",
      "[28]\ttest-rmse:0.16873\ttrain-rmse:0.162182\n",
      "[29]\ttest-rmse:0.167451\ttrain-rmse:0.160744\n",
      "[30]\ttest-rmse:0.165775\ttrain-rmse:0.158679\n",
      "[31]\ttest-rmse:0.164361\ttrain-rmse:0.156525\n",
      "[32]\ttest-rmse:0.163442\ttrain-rmse:0.155173\n",
      "[33]\ttest-rmse:0.162457\ttrain-rmse:0.154026\n",
      "[34]\ttest-rmse:0.16127\ttrain-rmse:0.152789\n",
      "[35]\ttest-rmse:0.160824\ttrain-rmse:0.152257\n",
      "[36]\ttest-rmse:0.158878\ttrain-rmse:0.150211\n",
      "[37]\ttest-rmse:0.15816\ttrain-rmse:0.149353\n",
      "[38]\ttest-rmse:0.157647\ttrain-rmse:0.14872\n",
      "[39]\ttest-rmse:0.157387\ttrain-rmse:0.148243\n",
      "[40]\ttest-rmse:0.156946\ttrain-rmse:0.147759\n",
      "[41]\ttest-rmse:0.156489\ttrain-rmse:0.1473\n",
      "[42]\ttest-rmse:0.156119\ttrain-rmse:0.146479\n",
      "[43]\ttest-rmse:0.155804\ttrain-rmse:0.146045\n",
      "[44]\ttest-rmse:0.155362\ttrain-rmse:0.145555\n",
      "[45]\ttest-rmse:0.154959\ttrain-rmse:0.144991\n",
      "[46]\ttest-rmse:0.154521\ttrain-rmse:0.14452\n",
      "[47]\ttest-rmse:0.154015\ttrain-rmse:0.143937\n",
      "[48]\ttest-rmse:0.153816\ttrain-rmse:0.143584\n",
      "[49]\ttest-rmse:0.153663\ttrain-rmse:0.143351\n",
      "[50]\ttest-rmse:0.153144\ttrain-rmse:0.142699\n",
      "[51]\ttest-rmse:0.152879\ttrain-rmse:0.142396\n",
      "[52]\ttest-rmse:0.152714\ttrain-rmse:0.142227\n",
      "[53]\ttest-rmse:0.152155\ttrain-rmse:0.141398\n",
      "[54]\ttest-rmse:0.152098\ttrain-rmse:0.141264\n",
      "[55]\ttest-rmse:0.15066\ttrain-rmse:0.139448\n",
      "[56]\ttest-rmse:0.150453\ttrain-rmse:0.139243\n",
      "[57]\ttest-rmse:0.150423\ttrain-rmse:0.139185\n",
      "[58]\ttest-rmse:0.150293\ttrain-rmse:0.138964\n",
      "[59]\ttest-rmse:0.149932\ttrain-rmse:0.138041\n",
      "[60]\ttest-rmse:0.149402\ttrain-rmse:0.137255\n",
      "[61]\ttest-rmse:0.149251\ttrain-rmse:0.1369\n",
      "[62]\ttest-rmse:0.149205\ttrain-rmse:0.136573\n",
      "[63]\ttest-rmse:0.149163\ttrain-rmse:0.136442\n",
      "[64]\ttest-rmse:0.14865\ttrain-rmse:0.135551\n",
      "[65]\ttest-rmse:0.147925\ttrain-rmse:0.134769\n",
      "[66]\ttest-rmse:0.147804\ttrain-rmse:0.134286\n",
      "[67]\ttest-rmse:0.147711\ttrain-rmse:0.133955\n",
      "[68]\ttest-rmse:0.147551\ttrain-rmse:0.13373\n",
      "[69]\ttest-rmse:0.147481\ttrain-rmse:0.13365\n",
      "[70]\ttest-rmse:0.14736\ttrain-rmse:0.133501\n",
      "[71]\ttest-rmse:0.147174\ttrain-rmse:0.133204\n",
      "[72]\ttest-rmse:0.14709\ttrain-rmse:0.132823\n",
      "[73]\ttest-rmse:0.14533\ttrain-rmse:0.13059\n",
      "[74]\ttest-rmse:0.145151\ttrain-rmse:0.130362\n",
      "[75]\ttest-rmse:0.145086\ttrain-rmse:0.130161\n",
      "[76]\ttest-rmse:0.144987\ttrain-rmse:0.130031\n",
      "[77]\ttest-rmse:0.144739\ttrain-rmse:0.129651\n",
      "[78]\ttest-rmse:0.144493\ttrain-rmse:0.12924\n",
      "[79]\ttest-rmse:0.14437\ttrain-rmse:0.129052\n",
      "[80]\ttest-rmse:0.144195\ttrain-rmse:0.128737\n",
      "[81]\ttest-rmse:0.14384\ttrain-rmse:0.128292\n",
      "[82]\ttest-rmse:0.142841\ttrain-rmse:0.127123\n",
      "[83]\ttest-rmse:0.142628\ttrain-rmse:0.126687\n",
      "[84]\ttest-rmse:0.142595\ttrain-rmse:0.126499\n",
      "[85]\ttest-rmse:0.142355\ttrain-rmse:0.126244\n",
      "[86]\ttest-rmse:0.142289\ttrain-rmse:0.126166\n",
      "[87]\ttest-rmse:0.14218\ttrain-rmse:0.125755\n",
      "[88]\ttest-rmse:0.142148\ttrain-rmse:0.125719\n",
      "[89]\ttest-rmse:0.142121\ttrain-rmse:0.125672\n",
      "[90]\ttest-rmse:0.141965\ttrain-rmse:0.125513\n",
      "[91]\ttest-rmse:0.141865\ttrain-rmse:0.124945\n",
      "[92]\ttest-rmse:0.14178\ttrain-rmse:0.124797\n",
      "[93]\ttest-rmse:0.140879\ttrain-rmse:0.123735\n",
      "[94]\ttest-rmse:0.140711\ttrain-rmse:0.123505\n",
      "[95]\ttest-rmse:0.14017\ttrain-rmse:0.122684\n",
      "[96]\ttest-rmse:0.140162\ttrain-rmse:0.122529\n",
      "[97]\ttest-rmse:0.140048\ttrain-rmse:0.122316\n",
      "[98]\ttest-rmse:0.139766\ttrain-rmse:0.121917\n",
      "[99]\ttest-rmse:0.139554\ttrain-rmse:0.121634\n"
     ]
    }
   ],
   "source": [
    "watchlist = [(dvalid, 'test'), (dtrain, 'train')]\n",
    "gbm = xgb.train(params, dtrain, num_trees, evals=watchlist, early_stopping_rounds=20, verbose_eval=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Validating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validating\n",
      "error 0.1182598473524923\n"
     ]
    }
   ],
   "source": [
    "print(\"Validating\")\n",
    "train_probs = gbm.predict(xgb.DMatrix(X_test[features]))\n",
    "indices = train_probs < 0\n",
    "train_probs[indices] = 0\n",
    "error = rmspe(np.exp(train_probs) - 1, X_test['NumberOfSales'].values)\n",
    "print('error', error)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x818b998f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = (15, 6)\n",
    "plt.rcParams['figure.figsize'] = [20.0,8.0]\n",
    "plt.rcParams['figure.dpi']=80\n",
    "\n",
    "\n",
    "\n",
    "# # Feature importance XGB for all features \n",
    "from xgboost import plot_importance\n",
    "plot_importance(gbm, importance_type=\"gain\")\n",
    "plt.title(\"XGBoost Feature Gain\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x8189145a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# # Feature importance XGB for all features \n",
    "from xgboost import plot_importance\n",
    "plot_importance(gbm, importance_type=\"weight\")\n",
    "plt.title(\"XGBoost Feature weight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x818c3d9780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# # Feature importance XGB for all features \n",
    "from xgboost import plot_importance\n",
    "plot_importance(gbm, importance_type=\"cover\")\n",
    "plt.title(\"XGBoost Feature cover\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predict on fake test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_probs = gbm.predict(xgb.DMatrix(test[features]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Mirko\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "test['_NumberOfSales'] = np.exp(gbm.predict(xgb.DMatrix(test[features])))-1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## BIP Error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of regions identified: 11\n",
      "BIP total error: 0.07517844687533849\n"
     ]
    }
   ],
   "source": [
    "from BIP import get_BIP_error\n",
    "error1 = get_BIP_error(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "diff=test['NumberOfSales']-test['_NumberOfSales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "diff.head(15).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "diff.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_probs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#test['predicted'] = pd.Series([train_probs], index=test.index)\n",
    "#test['predicted']=train_probs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "compare = test[['NumberOfSales','_NumberOfSales']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving TEST"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#test.to_csv('./dataset/XGB5_fake_test.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "error = rmspe(test['_NumberOfSales'].values, test['NumberOfSales'].values)\n",
    "print('error', error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "compare[1000:1100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "compare[1000:1100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#REAL\n",
    "start = 500\n",
    "end = 600\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "y = compare.iloc[start:end,0].values\n",
    "x_coordinate = [ 1 * i for i in range(len(y)) ]\n",
    "plt.plot(x_coordinate,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "yhat = compare.iloc[start:end:1].values\n",
    "x_coordinate = [ 1 * i for i in range(len(yhat)) ]\n",
    "plt.plot(x_coordinate,yhat)\n",
    "plt.legend(['Real', 'Predicted'], loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "#import matplotlib as mpl\n",
    "\n",
    "#mpl.style.use(\"default\")\n",
    "\n",
    "\n",
    "plt.plot(x_coordinate,y)\n",
    "plt.plot(x_coordinate,yhat)\n",
    "plt.legend(['Predicted', 'Real'], loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices = train_probs < 0\n",
    "train_probs[indices] = 0\n",
    "error = rmspe(np.exp(train_probs) - 1, X_test['NumberOfSales'].values)\n",
    "print('error', error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_probs = gbm.predict(xgb.DMatrix(test[features]))\n",
    "indices = test_probs < 0\n",
    "test_probs[indices] = 0\n",
    "submission = pd.DataFrame({\"Id\": test[\"Id\"], \"Sales\": np.exp(test_probs) - 1})\n",
    "submission.to_csv(\"xgboost_kscript_submission.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y = df.iloc[:, 3]"
   ]
  }
 ],
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