lgbm-solution-to-amex-competition.ipynb

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    "## Importing Libraries and Listing Input Files\n",
    "\n",
    "Purpose:\n",
    "This cell imports necessary libraries and lists the input files available in the Kaggle environment.\n",
    "\n",
    "## Steps:\n",
    "1. Import numpy, pandas, os, gc, seaborn, matplotlib.pyplot libraries.\n",
    "2. Import LGBMClassifier, early_stopping, log_evaluation from lightgbm.\n",
    "3. Import RandomForestClassifier from sklearn.ensemble, and StandardScaler, LabelEncoder from sklearn.preprocessing.\n",
    "4. Import make_pipeline from sklearn.pipeline.\n",
    "5. Set pandas option to display all columns."
   ]
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     "text": [
      "/kaggle/input/amex-data-integer-dtypes-parquet-format/train.parquet\n",
      "/kaggle/input/amex-data-integer-dtypes-parquet-format/test.parquet\n",
      "/kaggle/input/amex-default-prediction/sample_submission.csv\n",
      "/kaggle/input/amex-default-prediction/train_data.csv\n",
      "/kaggle/input/amex-default-prediction/test_data.csv\n",
      "/kaggle/input/amex-default-prediction/train_labels.csv\n"
     ]
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   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os\n",
    "import gc\n",
    "from sklearn.metrics import roc_auc_score, roc_curve, auc\n",
    "from lightgbm import LGBMClassifier, early_stopping, log_evaluation\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.ensemble import RandomForestClassifier \n",
    "from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
    "from sklearn.pipeline import make_pipeline\n",
    "pd.set_option(\"display.max_columns\", None)\n",
    "\n",
    "# This code prints the input files in my current Kaggle input\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))"
   ]
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    "# Loading and Preprocessing Training Data\n",
    "\n",
    "Purpose:\n",
    "The data given by the competition hosts are too large to fit in the memory, so I am using the dataset of Feather & Parquet files by @RADDAR. This step is to load the data, reading two records per each customer tail, selects the latest two statement dates for each customer, sets the customer_ID as the index, and sorts the data by customer_ID.\n",
    "\n",
    "## Steps:\n",
    "1. Read the training data from the Parquet file using `pd.read_parquet`.\n",
    "2. Group the data by 'customer_ID'.\n",
    "3. Select the last two rows (latest two statement dates) for each customer using `groupby('customer_ID').tail(2)`.\n",
    "4. Set 'customer_ID' as the index of the DataFrame and drop it from the columns using `set_index('customer_ID', drop=True)`.\n",
    "5. Sort the DataFrame by 'customer_ID' using `sort_index()`."
   ]
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a</th>\n",
       "      <td>2018-03-13</td>\n",
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       "      <td>-1</td>\n",
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       "    <tr>\n",
       "      <th>00000fd6641609c6ece5454664794f0340ad84dddce9a267a310b5ae68e9d8e5</th>\n",
       "      <td>2018-02-06</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ffff9984b999fccb2b6127635ed0736dda94e544e67e026eee4d20f680639ff6</th>\n",
       "      <td>2018-03-07</td>\n",
       "      <td>0.800522</td>\n",
       "      <td>9</td>\n",
       "      <td>0.020563</td>\n",
       "      <td>1.007023</td>\n",
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       "      <td>0.967367</td>\n",
       "      <td>0.972686</td>\n",
       "      <td>0.009946</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.368022</td>\n",
       "      <td>0.366133</td>\n",
       "      <td>0</td>\n",
       "      <td>0.415203</td>\n",
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       "      <td>5</td>\n",
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       "      <td>2</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.004513</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0.000340</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145b2c3d01967fcce461</th>\n",
       "      <td>2018-02-15</td>\n",
       "      <td>0.754452</td>\n",
       "      <td>0</td>\n",
       "      <td>0.025988</td>\n",
       "      <td>0.206945</td>\n",
       "      <td>0.009382</td>\n",
       "      <td>0.425783</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.087275</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.049964</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>0.073401</td>\n",
       "      <td>0.006512</td>\n",
       "      <td>0</td>\n",
       "      <td>0.536283</td>\n",
       "      <td>0.584406</td>\n",
       "      <td>0.273714</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.018960</td>\n",
       "      <td>0.351198</td>\n",
       "      <td>1.006122</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.017730</td>\n",
       "      <td>0</td>\n",
       "      <td>0.142634</td>\n",
       "      <td>0.459376</td>\n",
       "      <td>0.030386</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.025984</td>\n",
       "      <td>0.013087</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>0.346183</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0.362383</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.005980</td>\n",
       "      <td>27</td>\n",
       "      <td>0.025840</td>\n",
       "      <td>0.560365</td>\n",
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       "      <td>0.006569</td>\n",
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       "      <td>0.915870</td>\n",
       "      <td>0.972694</td>\n",
       "      <td>0.000891</td>\n",
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       "      <td>0.012991</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.056757</td>\n",
       "      <td>0.055291</td>\n",
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       "      <td>0.719930</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
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       "      <td>2</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1.005598</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.008586</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0.941114</td>\n",
       "      <td>0.434979</td>\n",
       "      <td>1</td>\n",
       "      <td>0.004325</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145b2c3d01967fcce461</th>\n",
       "      <td>2018-03-23</td>\n",
       "      <td>0.754129</td>\n",
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       "      <td>0.015838</td>\n",
       "      <td>0.714486</td>\n",
       "      <td>0.000993</td>\n",
       "      <td>0.408849</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.046125</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>0.070383</td>\n",
       "      <td>0.020531</td>\n",
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       "      <td>0.524507</td>\n",
       "      <td>0.591774</td>\n",
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       "      <td>0.302527</td>\n",
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       "      <td>14</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eaba8b115f71cab04681</th>\n",
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       "      <th>fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eaba8b115f71cab04681</th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>912706 rows × 189 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                           S_2       P_2  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  2018-02-21  0.937349   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  2018-03-13  0.934745   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  2018-02-06  0.878856   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  2018-03-25  0.880519   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  2018-02-09  0.866342   \n",
       "...                                                        ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  2018-03-07  0.800522   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  2018-02-15  0.754452   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  2018-03-23  0.754129   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  2018-02-06  0.969861   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  2018-03-14  0.982175   \n",
       "\n",
       "                                                    D_39       B_1       B_2  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0  0.019837  1.008307   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0  0.009382  1.007647   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    18  0.034558  1.005419   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     6  0.034684  1.004028   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0  0.008318  0.818953   \n",
       "...                                                  ...       ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     9  0.020563  1.007023   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0  0.025988  0.206945   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0  0.015838  0.714486   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    15  0.009855  1.003541   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0  0.000077  0.992880   \n",
       "\n",
       "                                                         R_1       S_3  D_41  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000607  0.102985   0.0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.006104  0.135021   0.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007248  0.159486   0.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.006911  0.165509   0.0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.006756       NaN   0.0   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000957  0.066648   0.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009382  0.425783   0.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.000993  0.408849   0.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.005117  0.101802   0.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000809  0.119165   0.0   \n",
       "\n",
       "                                                         B_3  D_42      D_43  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.007454   NaN       NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.007174   NaN       NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.008733   NaN  0.062028   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.005068   NaN  0.060646   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.004373   NaN       NaN   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.006314   NaN  0.049778   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.087275   NaN  0.049964   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.050048   NaN  0.046125   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.008578   NaN  0.014235   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.014092   NaN  0.013455   \n",
       "\n",
       "                                                    D_44  B_4      D_45  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0    6  0.740062   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0    5  0.740102   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0    1  0.263736   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0    1  0.266275   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0    4  0.245516   \n",
       "...                                                  ...  ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0    6  0.133731   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     1   17  0.073401   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     1   18  0.070383   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0    0  0.748190   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0    1  0.750784   \n",
       "\n",
       "                                                         B_5  R_2      D_46  \\\n",
       "customer_ID                                                                   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.132626    0  0.425848   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.231717    0  0.420521   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.010155    0  0.470223   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.027000    0  0.438828   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000215    0  0.486917   \n",
       "...                                                      ...  ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.019537    0  0.511473   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.006512    0  0.536283   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.020531    0  0.524507   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.019532    0  0.434467   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.006617    0  0.459745   \n",
       "\n",
       "                                                        D_47      D_48  D_49  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.538275  0.237232    -1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.539715  0.192376    -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.398607  0.010117    -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.402195  0.014696    -1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.339566  0.140314    -1   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.325767  0.114409    -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.584406  0.273714    -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.591774  0.349058    -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.531355  0.021576    -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.531610  0.018577    -1   \n",
       "\n",
       "                                                         B_6       B_7  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.150155  0.060502   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.149564  0.058425   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.211673  0.033179   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.167634  0.028411   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.178068  0.042980   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.190044  0.048510   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.018960  0.351198   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.018122  0.302527   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.161841  0.014798   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.233117  0.028185   \n",
       "\n",
       "                                                         B_8      D_50  D_51  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000  0.149338     2   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000  0.153461     2   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN     1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN     1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000000       NaN     1   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  1.001786  0.173703     1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  1.006122       NaN     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  1.005036       NaN     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000  0.099241     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000  0.088608     0   \n",
       "\n",
       "                                                         B_9  R_3      D_52  \\\n",
       "customer_ID                                                                   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.001064    0  0.207560   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.009535    0  0.203524   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.011734    1  0.239160   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.012926    1  0.242366   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000422    0  0.196135   \n",
       "...                                                      ...  ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.046456    0  0.184781   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.017730    0  0.142634   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.016491    0  0.137826   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.006628    0  0.286614   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.001976    0  0.281229   \n",
       "\n",
       "                                                         P_3      B_10  D_53  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.647352  0.325464   NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.629392  0.326101   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.517843  0.301616   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.570898  0.297130   NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.587117  0.302024   NaN   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.616007  0.302660   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.459376  0.030386   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.486135  0.035461   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.643626  0.298447   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.611945  0.291345   NaN   \n",
       "\n",
       "                                                         S_5      B_11  S_6  \\\n",
       "customer_ID                                                                   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.050146  0.007260    0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.034643  0.010260    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.006361  0.015018    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.043929  0.014570    0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.004721  0.007528    1   \n",
       "...                                                      ...       ...  ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.026269  0.010725    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.025984  0.013087    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009775  0.002506    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.004883  0.007431    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.004580  0.005654    0   \n",
       "\n",
       "                                                    D_54  R_4       S_7  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   1.0    0  0.077352   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   1.0    0  0.105671   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   1.0    0  0.136180   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   1.0    0  0.208516   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...   1.0    0       NaN   \n",
       "...                                                  ...  ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...   1.0    0  0.041017   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   1.0    0  0.346183   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   1.0    0  0.366362   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   1.0    0  0.057164   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   1.0    0  0.065466   \n",
       "\n",
       "                                                        B_12   S_8      D_55  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.111060  2380  0.196520   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.112294  1544  0.187285   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.022597   996  0.047516   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.019050  1284  0.036112   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.006100     0  0.099230   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.048887  2694  0.107152   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.005856  1021  0.293754   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009679     0  0.297427   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.048886  1021  0.019721   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.028086     0  0.025615   \n",
       "\n",
       "                                                        D_56      B_13  R_5  \\\n",
       "customer_ID                                                                   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.166448  0.092181    0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.166636  0.100107    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.695723  0.008499    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.748383  0.017684    0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.211538  0.002143    0   \n",
       "...                                                      ...       ...  ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.324822  0.036302    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...       NaN  0.008065    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...       NaN  0.007170    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.144218  0.050585    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.142516  0.048498    0   \n",
       "\n",
       "                                                        D_58       S_9  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.005720  0.013617   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.007174  0.007397   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.008624       NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.009756  0.127805   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.009205       NaN   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.008282  0.016771   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.362383       NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.258592       NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.006473  0.017040   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.016710  0.005854   \n",
       "\n",
       "                                                        B_14  D_59      D_60  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.029953     8  0.141639   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.010239     8  0.258461   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.023292    16  0.524772   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.018667    15  0.411989   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.002675    16  0.007859   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.017568    21  0.080830   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.005980    27  0.025840   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.011746    28  0.028532   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.003760    19  0.114578   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.008614    19  0.023136   \n",
       "\n",
       "                                                        D_61      B_15  S_11  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.228128  0.042265    19   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.227637  0.014553    15   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.103022  0.003985    16   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.048978  0.009538    14   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.077148  0.003512    12   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.136243  0.007996    19   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.560365  0.004531    17   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.806194  0.002916    14   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.032205  0.009884    29   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab... -0.003556  0.003001    12   \n",
       "\n",
       "                                                        D_62  D_63  D_64  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.453934     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.446568     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.238523     3     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.233980     3     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.440894     3     2   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.223305     3     3   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.066431     3     2   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.312812     3     3   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.330719     4     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.078830     4     0   \n",
       "\n",
       "                                                    D_65  B_16      B_17  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0       NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0       NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0       NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0       NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     0       NaN   \n",
       "...                                                  ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     2  0.228352   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     5  0.772459   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     6  0.737364   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     8  0.007352   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     7  0.003771   \n",
       "\n",
       "                                                        B_18  B_19  D_66  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  1.000000     0    -1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  1.000000     0    -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  1.000000     0    -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  1.000000     0    -1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  1.000000     0    -1   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  1.000000     0    -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.420515     0    -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.465034     0    -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  1.000000     0    -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.689411     0    -1   \n",
       "\n",
       "                                                    B_20  D_68      S_12  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     6  0.187413   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     6  0.184036   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     6  0.188421   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     6  0.192371   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     6  0.187889   \n",
       "...                                                  ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     5  0.398060   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     2     3  0.194077   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     3     3  0.192291   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     5  0.187689   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     5  0.191495   \n",
       "\n",
       "                                                         R_6  S_13      B_21  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.004807   872  0.003347   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.003945   702  0.005375   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.002118   290  0.008382   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007744   290  0.006190   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000800     0  0.006931   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.003065   544  0.005223   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.003570     0  0.006569   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.003013     0  0.004579   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.009942     0  0.002421   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.009614     0  0.007091   \n",
       "\n",
       "                                                        D_69  B_22  D_70  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.007434     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.005469     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.005944     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007636     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000701     0     0   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000635     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.003829     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009296     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.008220     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.004388     0     1   \n",
       "\n",
       "                                                        D_71  D_72  S_15  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.312937     0     5   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.377991     0     6   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.010515     0     7   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007636     0     6   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.013982     0     8   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.007770     0     4   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.008872     0     6   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.010404     0     8   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.011653     0     5   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.013747     0     8   \n",
       "\n",
       "                                                        B_23  D_73  P_4  D_74  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.044315   NaN  0.0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.040367   NaN  0.0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.014946   NaN  0.0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.014705   NaN  0.0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.028005   NaN  0.0     0   \n",
       "...                                                      ...   ...  ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.037423   NaN  0.0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.298082   NaN  0.0     2   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.263867   NaN  0.0     1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.001800   NaN  0.0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.017935   NaN  0.0     1   \n",
       "\n",
       "                                                    D_75  D_76      B_24  R_7  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0   NaN  0.008714  0.0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0   NaN  0.002230  0.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0   NaN  0.009167  0.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0   NaN  0.002383  0.0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0   NaN  0.003384  0.0   \n",
       "...                                                  ...   ...       ...  ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0   NaN  0.009894  0.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     3   NaN  0.001009  0.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     2   NaN  0.003682  0.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0   NaN  0.000018  0.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1   NaN  0.005930  0.0   \n",
       "\n",
       "                                                        D_77      B_25  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.417256  0.009573   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.421334  0.006475   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.224252  0.033150   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.227755  0.021153   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.401722  0.001164   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.205878  0.032258   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...       NaN  0.018268   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.289284  0.009083   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.305354  0.002338   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.077725  0.002918   \n",
       "\n",
       "                                                        B_26  D_78  D_79  R_8  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000013     0     0    0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.001068     0     0    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007601     0     0    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000182     0     0    0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.003570     0     0    0   \n",
       "...                                                      ...   ...   ...  ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.007317     0     0    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009251     0     0    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.007682     0     0    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000952     0     0    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000045     0     0    0   \n",
       "\n",
       "                                                    R_9      S_16  D_80  R_10  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   -1  0.005027     1     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   -1  0.000026     1     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   -1  0.000067     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   -1  0.006931     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...   -1  0.001470     0     0   \n",
       "...                                                 ...       ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...   -1  0.003681     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   -1  0.004430     1     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   -1  0.003716     3     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   -1  0.002804     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   -1  0.007231     0     0   \n",
       "\n",
       "                                                    R_11      B_27  D_81  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0  0.002737     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0  0.007236     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0  0.000015     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0  0.005375     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0  0.005929     0   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0  0.000885     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0  0.005650     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0  0.006036     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0  0.006227     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0  0.002365     0   \n",
       "\n",
       "                                                    D_82      S_17  R_12  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1  0.007090   1.0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1  0.006550   1.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1  0.003619   1.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1  0.005414   1.0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...    -1  0.006845   1.0   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...    -1  0.003084   1.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1  0.008156   1.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1  0.008445   1.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1  0.001121   1.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1  0.002432   1.0   \n",
       "\n",
       "                                                        B_28  R_13  D_83  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.098844     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.084745     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.014986     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.019672     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.050830     0     0   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.092877     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.099078     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.104037     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.009635     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.016145     0     0   \n",
       "\n",
       "                                                    R_14  R_15  D_84  R_16  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   0.0     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   0.0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   0.0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   0.0     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...   0.0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...   0.0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   0.0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   0.0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   0.0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   0.0     0     0     0   \n",
       "\n",
       "                                                    B_29  B_30  S_18  D_86  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   NaN     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   NaN     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   NaN     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   NaN     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...   NaN     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...   NaN     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   NaN     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   NaN     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   NaN     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   NaN     0     0     0   \n",
       "\n",
       "                                                    D_87  R_17  R_18  D_88  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...    -1     0     0   NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...    -1     0     0   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1     0     0   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1     0     0   NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...    -1     0     0   NaN   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...    -1     0     0   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1     0     0   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1     0     0   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    -1     0     0   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    -1     0     0   NaN   \n",
       "\n",
       "                                                    B_31      S_19  R_19  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1  0.000869     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1  0.003511     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     1  0.009282     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     1  0.005091     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     1  0.008780     0   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     1  0.005291     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     1  0.006292     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     1  0.007877     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1  0.005462     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1  0.006033     0   \n",
       "\n",
       "                                                    B_32  S_20  R_20  R_21  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0     0   \n",
       "\n",
       "                                                    B_33  D_89  R_22  R_23  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     1     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     1     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     1     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     1     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1     0     0     0   \n",
       "\n",
       "                                                    D_91  D_92  D_93  D_94  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     2     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     2     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0     0   \n",
       "\n",
       "                                                    R_24  R_25  D_96  \\\n",
       "customer_ID                                                            \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     0     0   \n",
       "...                                                  ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0   \n",
       "\n",
       "                                                        S_22      S_23  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.933347  0.136322   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.917811  0.131801   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.994174  0.140244   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.920889  0.132865   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.301959  0.134361   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.986411  0.140671   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.910204  0.133297   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.902168  0.131798   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.872319  0.132014   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.295251  0.131636   \n",
       "\n",
       "                                                        S_24      S_25  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.950119  0.979136   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.936067  0.971994   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  1.011297  0.975712   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.930629  0.977674   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.086216  0.973470   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.967367  0.972686   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.915870  0.972694   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.906399  0.978855   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.886145  0.975976   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.080514  0.974690   \n",
       "\n",
       "                                                        S_26     D_102  D_103  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.003096  0.922532      1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.001281  0.943340      1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.002006  0.001432      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.003213  0.001621      0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.006987  0.004414      0   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.009946  0.146940      1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.000891  0.138213      1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.001122  0.137860      1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.001877  0.008161      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.005346  0.003459      0   \n",
       "\n",
       "                                                       D_104     D_105  D_106  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  1.015417  1.067105     -1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  1.014510  1.073985     -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN     -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN     -1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000000       NaN     -1   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.962636  0.117951     -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.957152  0.106634     -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.956527  0.120209     -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000       NaN     -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000       NaN     -1   \n",
       "\n",
       "                                                    D_107      B_36      B_37  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      2  0.009383  0.018704   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      2  0.007441  0.008676   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0  0.004645  0.030284   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0  0.007457  0.032899   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0  0.006159  0.009954   \n",
       "...                                                   ...       ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      1  0.004254  0.020096   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      1  0.007858  0.033349   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      1  0.003532  0.020679   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0  0.006566  0.008063   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0  0.007781  0.008004   \n",
       "\n",
       "                                                    R_26      R_27  B_38  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...    -1  1.003859     2   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...    -1  1.006130     2   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1  1.009403     2   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1  1.007599     2   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...    -1  1.004489     1   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...    -1  1.009209     3   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1  1.009221     3   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1  1.004018     3   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    -1  1.001776     3   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    -1  1.005181     3   \n",
       "\n",
       "                                                    D_108  D_109  D_110  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1      0    NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1      0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1      0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1      0    NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     -1      0    NaN   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     -1      0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1      0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1      0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1      0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1      0    NaN   \n",
       "\n",
       "                                                    D_111  B_39  D_112  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1   NaN    1.0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1   NaN    1.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1   NaN    1.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1   NaN    1.0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     -1   NaN    1.0   \n",
       "...                                                   ...   ...    ...   \n",
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       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1   NaN    1.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1   NaN    1.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1   NaN    1.0   \n",
       "\n",
       "                                                        B_40      S_27  D_113  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.100918  0.979416      0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.100454  0.928955      0   \n",
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       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.039138       NaN      0   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.051020  0.424360      0   \n",
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       "\n",
       "                                                    D_114     D_115  D_116  \\\n",
       "customer_ID                                                                  \n",
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       "...                                                   ...       ...    ...   \n",
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       "\n",
       "                                                    D_117     D_118     D_119  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      5  0.253851  0.247433   \n",
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       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0  0.360258  0.359949   \n",
       "...                                                   ...       ...       ...   \n",
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       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      3  0.018145  0.014904   \n",
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       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      4  0.037342  0.033036   \n",
       "\n",
       "                                                    D_120     D_121  D_122  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      0  0.719052      3   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      0  0.719791      3   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      1  0.539496      2   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0  0.551341      2   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0  0.443164      1   \n",
       "...                                                   ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      0  0.415203      1   \n",
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       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0  0.728418      3   \n",
       "\n",
       "                                                    D_123  D_124  D_125  \\\n",
       "customer_ID                                                               \n",
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       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0      7      0   \n",
       "...                                                   ...    ...    ...   \n",
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       "\n",
       "                                                    D_126  D_127     D_128  \\\n",
       "customer_ID                                                                  \n",
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       "...                                                   ...    ...       ...   \n",
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       "\n",
       "                                                    D_129  B_41  B_42  \\\n",
       "customer_ID                                                             \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      1     0   NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      1     0   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0     0   NaN   \n",
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       "...                                                   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      1     0   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      0     0   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      0     0   NaN   \n",
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       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      1     0   NaN   \n",
       "\n",
       "                                                       D_130  D_131  D_132  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000    0.0    NaN   \n",
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       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000000    0.0    NaN   \n",
       "...                                                      ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000000    0.0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  1.005598    0.0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  1.001044    0.0    NaN   \n",
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       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000    0.0    NaN   \n",
       "\n",
       "                                                       D_133  R_28  D_134  \\\n",
       "customer_ID                                                                 \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000122     0    NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.006210     0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.009592     0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.002996     0    NaN   \n",
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       "...                                                      ...   ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.004513     0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.008586     0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.000479     0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.003811     0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.006312     0    NaN   \n",
       "\n",
       "                                                    D_135  D_136  D_137  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1     -1     -1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1     -1     -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1     -1     -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1     -1     -1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     -1     -1     -1   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     -1     -1     -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1     -1     -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1     -1     -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1     -1     -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1     -1     -1   \n",
       "\n",
       "                                                    D_138  D_139  D_140  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1      0      0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1      0      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1      0      0   \n",
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       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     -1      0      0   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     -1      0      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1      1      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1      1      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1      0      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1      0      0   \n",
       "\n",
       "                                                       D_141     D_142  D_143  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000       NaN      0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000       NaN      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN      0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000000       NaN      0   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000000       NaN      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.941114  0.434979      1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.949723  0.446255      1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000       NaN      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000       NaN      0   \n",
       "\n",
       "                                                       D_144  D_145  \n",
       "customer_ID                                                          \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.006346      0  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.002970      0  \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.002528      0  \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.003169      0  \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.007325      0  \n",
       "...                                                      ...    ...  \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000340      0  \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.004325      2  \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.002502      2  \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.001168      0  \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.003184      0  \n",
       "\n",
       "[912706 rows x 189 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df = pd.read_parquet('../input/amex-data-integer-dtypes-parquet-format/train.parquet').groupby('customer_ID').tail(2).set_index('customer_ID', drop=True).sort_index()\n",
    "train_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ffd18fd",
   "metadata": {
    "papermill": {
     "duration": 0.016257,
     "end_time": "2024-04-14T11:10:04.116045",
     "exception": false,
     "start_time": "2024-04-14T11:10:04.099788",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Loading and Preprocessing Training Labels\n",
    "\n",
    "Purpose:\n",
    "This cell loads the training labels from a CSV file, sets the customer_ID as the index, and sorts the data by customer_ID.\n",
    "\n",
    "## Steps:\n",
    "1. Use `gc.collect()` to manually trigger garbage collection to free up memory.\n",
    "2. Read the training labels from the CSV file using `pd.read_csv`.\n",
    "3. Set 'customer_ID' as the index of the DataFrame and drop it from the columns using `set_index('customer_ID', drop=True)`.\n",
    "4. Sort the DataFrame by 'customer_ID' using `sort_index()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "707a9135",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:04.150186Z",
     "iopub.status.busy": "2024-04-14T11:10:04.149325Z",
     "iopub.status.idle": "2024-04-14T11:10:05.534832Z",
     "shell.execute_reply": "2024-04-14T11:10:05.533212Z"
    },
    "papermill": {
     "duration": 1.405979,
     "end_time": "2024-04-14T11:10:05.537947",
     "exception": false,
     "start_time": "2024-04-14T11:10:04.131968",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<p>458913 rows × 1 columns</p>\n",
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      ],
      "text/plain": [
       "                                                    target\n",
       "customer_ID                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...       0\n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...       0\n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...       0\n",
       "000041bdba6ecadd89a52d11886e8eaaec9325906c97233...       0\n",
       "00007889e4fcd2614b6cbe7f8f3d2e5c728eca32d9eb8ad...       0\n",
       "...                                                    ...\n",
       "ffff41c8a52833b56430603969b9ca48d208e7c192c6a40...       0\n",
       "ffff518bb2075e4816ee3fe9f3b152c57fc0e6f01bf7fdd...       0\n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...       0\n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...       1\n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...       0\n",
       "\n",
       "[458913 rows x 1 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gc.collect()\n",
    "train_labels = pd.read_csv('../input/amex-default-prediction/train_labels.csv').set_index('customer_ID', drop=True).sort_index()\n",
    "train_labels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d103c723",
   "metadata": {
    "papermill": {
     "duration": 0.016994,
     "end_time": "2024-04-14T11:10:05.571897",
     "exception": false,
     "start_time": "2024-04-14T11:10:05.554903",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Analyzing Training Labels\n",
    "\n",
    "Purpose:\n",
    "This cell calculates and prints the number and percentage of positive (default) labels in the training data.\n",
    "\n",
    "## Steps:\n",
    "1. Calculate the sum of positive labels ('target' = 1) using the `sum()` function on the 'target' column of `train_labels`.\n",
    "2. Calculate the percentage of positive labels by dividing the sum of positive labels by the total number of labels and multiplying by 100.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3792534f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:05.606867Z",
     "iopub.status.busy": "2024-04-14T11:10:05.606438Z",
     "iopub.status.idle": "2024-04-14T11:10:05.616754Z",
     "shell.execute_reply": "2024-04-14T11:10:05.615109Z"
    },
    "papermill": {
     "duration": 0.031106,
     "end_time": "2024-04-14T11:10:05.619388",
     "exception": false,
     "start_time": "2024-04-14T11:10:05.588282",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "118828 25.89336105100531 %\n"
     ]
    }
   ],
   "source": [
    "print(train_labels[\"target\"].sum(), train_labels[\"target\"].sum()/len(train_labels)*100,\"%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25a0c753",
   "metadata": {
    "papermill": {
     "duration": 0.016276,
     "end_time": "2024-04-14T11:10:05.652245",
     "exception": false,
     "start_time": "2024-04-14T11:10:05.635969",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Merging Training Data with Labels\n",
    "\n",
    "Purpose:\n",
    "This cell merges the training data with the training labels based on the 'customer_ID' index.\n",
    "\n",
    "## Steps:\n",
    "1. Use `gc.collect()` to manually trigger garbage collection to free up memory.\n",
    "2. Merge `train_df` (training data) with `train_labels` (training labels) based on the 'customer_ID' index using `pd.merge`.\n",
    "3. Set `left_index=True` and `right_index=True` to perform the merge on the index of both DataFrames.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8afb12e6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:05.689236Z",
     "iopub.status.busy": "2024-04-14T11:10:05.688512Z",
     "iopub.status.idle": "2024-04-14T11:10:06.720549Z",
     "shell.execute_reply": "2024-04-14T11:10:06.719244Z"
    },
    "papermill": {
     "duration": 1.058052,
     "end_time": "2024-04-14T11:10:06.727190",
     "exception": false,
     "start_time": "2024-04-14T11:10:05.669138",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a</th>\n",
       "      <td>2018-02-21</td>\n",
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       "      <td>0.019837</td>\n",
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       "      <td>0.000607</td>\n",
       "      <td>0.102985</td>\n",
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       "      <td>0.007454</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0.740062</td>\n",
       "      <td>0.132626</td>\n",
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       "      <td>0.425848</td>\n",
       "      <td>0.538275</td>\n",
       "      <td>0.237232</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.150155</td>\n",
       "      <td>0.060502</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>2</td>\n",
       "      <td>0.001064</td>\n",
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       "      <td>0.050146</td>\n",
       "      <td>0.007260</td>\n",
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       "      <td>0.196520</td>\n",
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       "      <td>0.003347</td>\n",
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       "      <td>0.950119</td>\n",
       "      <td>0.979136</td>\n",
       "      <td>0.003096</td>\n",
       "      <td>0.922532</td>\n",
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       "      <td>0.256733</td>\n",
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       "      <td>5</td>\n",
       "      <td>0.253851</td>\n",
       "      <td>0.247433</td>\n",
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       "      <td>0.719052</td>\n",
       "      <td>3</td>\n",
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       "      <td>16</td>\n",
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       "      <td>2</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000122</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.006346</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a</th>\n",
       "      <td>2018-03-13</td>\n",
       "      <td>0.934745</td>\n",
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       "      <td>0.009382</td>\n",
       "      <td>1.007647</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>5</td>\n",
       "      <td>0.740102</td>\n",
       "      <td>0.231717</td>\n",
       "      <td>0</td>\n",
       "      <td>0.420521</td>\n",
       "      <td>0.539715</td>\n",
       "      <td>0.192376</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.149564</td>\n",
       "      <td>0.058425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.153461</td>\n",
       "      <td>2</td>\n",
       "      <td>0.009535</td>\n",
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       "      <td>0.203524</td>\n",
       "      <td>0.629392</td>\n",
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       "      <td>0.010260</td>\n",
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       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>00000fd6641609c6ece5454664794f0340ad84dddce9a267a310b5ae68e9d8e5</th>\n",
       "      <td>2018-02-06</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>ffff9984b999fccb2b6127635ed0736dda94e544e67e026eee4d20f680639ff6</th>\n",
       "      <td>2018-03-07</td>\n",
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       "    <tr>\n",
       "      <th>ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145b2c3d01967fcce461</th>\n",
       "      <td>2018-02-15</td>\n",
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       "    <tr>\n",
       "      <th>ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145b2c3d01967fcce461</th>\n",
       "      <td>2018-03-23</td>\n",
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       "      <td>0.720130</td>\n",
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       "      <td>1</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
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       "      <td>0.949723</td>\n",
       "      <td>0.446255</td>\n",
       "      <td>1</td>\n",
       "      <td>0.002502</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eaba8b115f71cab04681</th>\n",
       "      <td>2018-02-06</td>\n",
       "      <td>0.969861</td>\n",
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       "      <td>0.032205</td>\n",
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       "      <td>1</td>\n",
       "      <td>0.028462</td>\n",
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       "      <td>0.033480</td>\n",
       "      <td>0.027028</td>\n",
       "      <td>0</td>\n",
       "      <td>0.717330</td>\n",
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       "      <td>11</td>\n",
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       "      <td>2</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.003811</td>\n",
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       "      <td>0.001168</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eaba8b115f71cab04681</th>\n",
       "      <td>2018-03-14</td>\n",
       "      <td>0.982175</td>\n",
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       "      <td>0.000077</td>\n",
       "      <td>0.992880</td>\n",
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       "      <td>0.119165</td>\n",
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       "      <td>0.013455</td>\n",
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       "      <td>0.750784</td>\n",
       "      <td>0.006617</td>\n",
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       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.003184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>912706 rows × 190 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                           S_2       P_2  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  2018-02-21  0.937349   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  2018-03-13  0.934745   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  2018-02-06  0.878856   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  2018-03-25  0.880519   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  2018-02-09  0.866342   \n",
       "...                                                        ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  2018-03-07  0.800522   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  2018-02-15  0.754452   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  2018-03-23  0.754129   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  2018-02-06  0.969861   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  2018-03-14  0.982175   \n",
       "\n",
       "                                                    D_39       B_1       B_2  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0  0.019837  1.008307   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0  0.009382  1.007647   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    18  0.034558  1.005419   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     6  0.034684  1.004028   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0  0.008318  0.818953   \n",
       "...                                                  ...       ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     9  0.020563  1.007023   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0  0.025988  0.206945   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0  0.015838  0.714486   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    15  0.009855  1.003541   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0  0.000077  0.992880   \n",
       "\n",
       "                                                         R_1       S_3  D_41  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000607  0.102985   0.0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.006104  0.135021   0.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007248  0.159486   0.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.006911  0.165509   0.0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.006756       NaN   0.0   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000957  0.066648   0.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009382  0.425783   0.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.000993  0.408849   0.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.005117  0.101802   0.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000809  0.119165   0.0   \n",
       "\n",
       "                                                         B_3  D_42      D_43  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.007454   NaN       NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.007174   NaN       NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.008733   NaN  0.062028   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.005068   NaN  0.060646   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.004373   NaN       NaN   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.006314   NaN  0.049778   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.087275   NaN  0.049964   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.050048   NaN  0.046125   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.008578   NaN  0.014235   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.014092   NaN  0.013455   \n",
       "\n",
       "                                                    D_44  B_4      D_45  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0    6  0.740062   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0    5  0.740102   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0    1  0.263736   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0    1  0.266275   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0    4  0.245516   \n",
       "...                                                  ...  ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0    6  0.133731   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     1   17  0.073401   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     1   18  0.070383   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0    0  0.748190   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0    1  0.750784   \n",
       "\n",
       "                                                         B_5  R_2      D_46  \\\n",
       "customer_ID                                                                   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.132626    0  0.425848   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.231717    0  0.420521   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.010155    0  0.470223   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.027000    0  0.438828   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000215    0  0.486917   \n",
       "...                                                      ...  ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.019537    0  0.511473   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.006512    0  0.536283   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.020531    0  0.524507   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.019532    0  0.434467   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.006617    0  0.459745   \n",
       "\n",
       "                                                        D_47      D_48  D_49  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.538275  0.237232    -1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.539715  0.192376    -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.398607  0.010117    -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.402195  0.014696    -1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.339566  0.140314    -1   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.325767  0.114409    -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.584406  0.273714    -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.591774  0.349058    -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.531355  0.021576    -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.531610  0.018577    -1   \n",
       "\n",
       "                                                         B_6       B_7  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.150155  0.060502   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.149564  0.058425   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.211673  0.033179   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.167634  0.028411   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.178068  0.042980   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.190044  0.048510   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.018960  0.351198   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.018122  0.302527   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.161841  0.014798   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.233117  0.028185   \n",
       "\n",
       "                                                         B_8      D_50  D_51  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000  0.149338     2   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000  0.153461     2   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN     1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN     1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000000       NaN     1   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  1.001786  0.173703     1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  1.006122       NaN     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  1.005036       NaN     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000  0.099241     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000  0.088608     0   \n",
       "\n",
       "                                                         B_9  R_3      D_52  \\\n",
       "customer_ID                                                                   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.001064    0  0.207560   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.009535    0  0.203524   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.011734    1  0.239160   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.012926    1  0.242366   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000422    0  0.196135   \n",
       "...                                                      ...  ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.046456    0  0.184781   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.017730    0  0.142634   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.016491    0  0.137826   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.006628    0  0.286614   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.001976    0  0.281229   \n",
       "\n",
       "                                                         P_3      B_10  D_53  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.647352  0.325464   NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.629392  0.326101   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.517843  0.301616   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.570898  0.297130   NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.587117  0.302024   NaN   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.616007  0.302660   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.459376  0.030386   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.486135  0.035461   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.643626  0.298447   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.611945  0.291345   NaN   \n",
       "\n",
       "                                                         S_5      B_11  S_6  \\\n",
       "customer_ID                                                                   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.050146  0.007260    0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.034643  0.010260    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.006361  0.015018    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.043929  0.014570    0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.004721  0.007528    1   \n",
       "...                                                      ...       ...  ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.026269  0.010725    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.025984  0.013087    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009775  0.002506    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.004883  0.007431    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.004580  0.005654    0   \n",
       "\n",
       "                                                    D_54  R_4       S_7  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   1.0    0  0.077352   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   1.0    0  0.105671   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   1.0    0  0.136180   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   1.0    0  0.208516   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...   1.0    0       NaN   \n",
       "...                                                  ...  ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...   1.0    0  0.041017   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   1.0    0  0.346183   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   1.0    0  0.366362   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   1.0    0  0.057164   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   1.0    0  0.065466   \n",
       "\n",
       "                                                        B_12   S_8      D_55  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.111060  2380  0.196520   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.112294  1544  0.187285   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.022597   996  0.047516   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.019050  1284  0.036112   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.006100     0  0.099230   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.048887  2694  0.107152   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.005856  1021  0.293754   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009679     0  0.297427   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.048886  1021  0.019721   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.028086     0  0.025615   \n",
       "\n",
       "                                                        D_56      B_13  R_5  \\\n",
       "customer_ID                                                                   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.166448  0.092181    0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.166636  0.100107    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.695723  0.008499    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.748383  0.017684    0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.211538  0.002143    0   \n",
       "...                                                      ...       ...  ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.324822  0.036302    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...       NaN  0.008065    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...       NaN  0.007170    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.144218  0.050585    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.142516  0.048498    0   \n",
       "\n",
       "                                                        D_58       S_9  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.005720  0.013617   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.007174  0.007397   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.008624       NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.009756  0.127805   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.009205       NaN   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.008282  0.016771   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.362383       NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.258592       NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.006473  0.017040   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.016710  0.005854   \n",
       "\n",
       "                                                        B_14  D_59      D_60  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.029953     8  0.141639   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.010239     8  0.258461   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.023292    16  0.524772   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.018667    15  0.411989   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.002675    16  0.007859   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.017568    21  0.080830   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.005980    27  0.025840   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.011746    28  0.028532   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.003760    19  0.114578   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.008614    19  0.023136   \n",
       "\n",
       "                                                        D_61      B_15  S_11  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.228128  0.042265    19   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.227637  0.014553    15   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.103022  0.003985    16   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.048978  0.009538    14   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.077148  0.003512    12   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.136243  0.007996    19   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.560365  0.004531    17   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.806194  0.002916    14   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.032205  0.009884    29   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab... -0.003556  0.003001    12   \n",
       "\n",
       "                                                        D_62  D_63  D_64  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.453934     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.446568     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.238523     3     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.233980     3     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.440894     3     2   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.223305     3     3   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.066431     3     2   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.312812     3     3   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.330719     4     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.078830     4     0   \n",
       "\n",
       "                                                    D_65  B_16      B_17  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0       NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0       NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0       NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0       NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     0       NaN   \n",
       "...                                                  ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     2  0.228352   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     5  0.772459   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     6  0.737364   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     8  0.007352   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     7  0.003771   \n",
       "\n",
       "                                                        B_18  B_19  D_66  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  1.000000     0    -1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  1.000000     0    -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  1.000000     0    -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  1.000000     0    -1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  1.000000     0    -1   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  1.000000     0    -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.420515     0    -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.465034     0    -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  1.000000     0    -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.689411     0    -1   \n",
       "\n",
       "                                                    B_20  D_68      S_12  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     6  0.187413   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     6  0.184036   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     6  0.188421   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     6  0.192371   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     6  0.187889   \n",
       "...                                                  ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     5  0.398060   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     2     3  0.194077   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     3     3  0.192291   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     5  0.187689   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     5  0.191495   \n",
       "\n",
       "                                                         R_6  S_13      B_21  \\\n",
       "customer_ID                                                                    \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.004807   872  0.003347   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.003945   702  0.005375   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.002118   290  0.008382   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007744   290  0.006190   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000800     0  0.006931   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.003065   544  0.005223   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.003570     0  0.006569   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.003013     0  0.004579   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.009942     0  0.002421   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.009614     0  0.007091   \n",
       "\n",
       "                                                        D_69  B_22  D_70  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.007434     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.005469     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.005944     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007636     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000701     0     0   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000635     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.003829     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009296     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.008220     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.004388     0     1   \n",
       "\n",
       "                                                        D_71  D_72  S_15  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.312937     0     5   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.377991     0     6   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.010515     0     7   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007636     0     6   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.013982     0     8   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.007770     0     4   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.008872     0     6   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.010404     0     8   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.011653     0     5   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.013747     0     8   \n",
       "\n",
       "                                                        B_23  D_73  P_4  D_74  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.044315   NaN  0.0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.040367   NaN  0.0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.014946   NaN  0.0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.014705   NaN  0.0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.028005   NaN  0.0     0   \n",
       "...                                                      ...   ...  ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.037423   NaN  0.0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.298082   NaN  0.0     2   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.263867   NaN  0.0     1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.001800   NaN  0.0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.017935   NaN  0.0     1   \n",
       "\n",
       "                                                    D_75  D_76      B_24  R_7  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0   NaN  0.008714  0.0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0   NaN  0.002230  0.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0   NaN  0.009167  0.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0   NaN  0.002383  0.0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0   NaN  0.003384  0.0   \n",
       "...                                                  ...   ...       ...  ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0   NaN  0.009894  0.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     3   NaN  0.001009  0.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     2   NaN  0.003682  0.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0   NaN  0.000018  0.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1   NaN  0.005930  0.0   \n",
       "\n",
       "                                                        D_77      B_25  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.417256  0.009573   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.421334  0.006475   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.224252  0.033150   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.227755  0.021153   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.401722  0.001164   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.205878  0.032258   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...       NaN  0.018268   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.289284  0.009083   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.305354  0.002338   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.077725  0.002918   \n",
       "\n",
       "                                                        B_26  D_78  D_79  R_8  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000013     0     0    0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.001068     0     0    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.007601     0     0    0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000182     0     0    0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.003570     0     0    0   \n",
       "...                                                      ...   ...   ...  ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.007317     0     0    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.009251     0     0    0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.007682     0     0    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000952     0     0    0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000045     0     0    0   \n",
       "\n",
       "                                                    R_9      S_16  D_80  R_10  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   -1  0.005027     1     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   -1  0.000026     1     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   -1  0.000067     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   -1  0.006931     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...   -1  0.001470     0     0   \n",
       "...                                                 ...       ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...   -1  0.003681     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   -1  0.004430     1     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   -1  0.003716     3     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   -1  0.002804     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   -1  0.007231     0     0   \n",
       "\n",
       "                                                    R_11      B_27  D_81  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0  0.002737     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0  0.007236     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0  0.000015     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0  0.005375     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0  0.005929     0   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0  0.000885     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0  0.005650     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0  0.006036     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0  0.006227     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0  0.002365     0   \n",
       "\n",
       "                                                    D_82      S_17  R_12  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1  0.007090   1.0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1  0.006550   1.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1  0.003619   1.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1  0.005414   1.0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...    -1  0.006845   1.0   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...    -1  0.003084   1.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1  0.008156   1.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1  0.008445   1.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1  0.001121   1.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1  0.002432   1.0   \n",
       "\n",
       "                                                        B_28  R_13  D_83  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.098844     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.084745     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.014986     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.019672     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.050830     0     0   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.092877     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.099078     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.104037     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.009635     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.016145     0     0   \n",
       "\n",
       "                                                    R_14  R_15  D_84  R_16  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   0.0     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   0.0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   0.0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   0.0     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...   0.0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...   0.0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   0.0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   0.0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   0.0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   0.0     0     0     0   \n",
       "\n",
       "                                                    B_29  B_30  S_18  D_86  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   NaN     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...   NaN     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   NaN     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...   NaN     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...   NaN     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...   NaN     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   NaN     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...   NaN     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   NaN     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...   NaN     0     0     0   \n",
       "\n",
       "                                                    D_87  R_17  R_18  D_88  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...    -1     0     0   NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...    -1     0     0   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1     0     0   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1     0     0   NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...    -1     0     0   NaN   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...    -1     0     0   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1     0     0   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1     0     0   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    -1     0     0   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    -1     0     0   NaN   \n",
       "\n",
       "                                                    B_31      S_19  R_19  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1  0.000869     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1  0.003511     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     1  0.009282     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     1  0.005091     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     1  0.008780     0   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     1  0.005291     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     1  0.006292     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     1  0.007877     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1  0.005462     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1  0.006033     0   \n",
       "\n",
       "                                                    B_32  S_20  R_20  R_21  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0     0   \n",
       "\n",
       "                                                    B_33  D_89  R_22  R_23  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     1     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     1     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     1     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     1     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     1     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     1     0     0     0   \n",
       "\n",
       "                                                    D_91  D_92  D_93  D_94  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     2     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     2     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0     0   \n",
       "\n",
       "                                                    R_24  R_25  D_96  \\\n",
       "customer_ID                                                            \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0     0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     0     0     0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     0     0     0   \n",
       "...                                                  ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     0     0     0   \n",
       "\n",
       "                                                        S_22      S_23  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.933347  0.136322   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.917811  0.131801   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.994174  0.140244   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.920889  0.132865   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.301959  0.134361   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.986411  0.140671   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.910204  0.133297   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.902168  0.131798   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.872319  0.132014   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.295251  0.131636   \n",
       "\n",
       "                                                        S_24      S_25  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.950119  0.979136   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.936067  0.971994   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  1.011297  0.975712   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.930629  0.977674   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.086216  0.973470   \n",
       "...                                                      ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.967367  0.972686   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.915870  0.972694   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.906399  0.978855   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.886145  0.975976   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.080514  0.974690   \n",
       "\n",
       "                                                        S_26     D_102  D_103  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.003096  0.922532      1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.001281  0.943340      1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.002006  0.001432      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.003213  0.001621      0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.006987  0.004414      0   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.009946  0.146940      1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.000891  0.138213      1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.001122  0.137860      1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.001877  0.008161      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.005346  0.003459      0   \n",
       "\n",
       "                                                       D_104     D_105  D_106  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  1.015417  1.067105     -1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  1.014510  1.073985     -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN     -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN     -1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000000       NaN     -1   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.962636  0.117951     -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.957152  0.106634     -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.956527  0.120209     -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000       NaN     -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000       NaN     -1   \n",
       "\n",
       "                                                    D_107      B_36      B_37  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      2  0.009383  0.018704   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      2  0.007441  0.008676   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0  0.004645  0.030284   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0  0.007457  0.032899   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0  0.006159  0.009954   \n",
       "...                                                   ...       ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      1  0.004254  0.020096   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      1  0.007858  0.033349   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      1  0.003532  0.020679   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0  0.006566  0.008063   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0  0.007781  0.008004   \n",
       "\n",
       "                                                    R_26      R_27  B_38  \\\n",
       "customer_ID                                                                \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...    -1  1.003859     2   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...    -1  1.006130     2   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1  1.009403     2   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...    -1  1.007599     2   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...    -1  1.004489     1   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...    -1  1.009209     3   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1  1.009221     3   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...    -1  1.004018     3   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    -1  1.001776     3   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...    -1  1.005181     3   \n",
       "\n",
       "                                                    D_108  D_109  D_110  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1      0    NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1      0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1      0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1      0    NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     -1      0    NaN   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     -1      0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1      0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1      0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1      0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1      0    NaN   \n",
       "\n",
       "                                                    D_111  B_39  D_112  \\\n",
       "customer_ID                                                              \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1   NaN    1.0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1   NaN    1.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1   NaN    1.0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1   NaN    1.0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     -1   NaN    1.0   \n",
       "...                                                   ...   ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     -1   NaN    1.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1   NaN    1.0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1   NaN    1.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1   NaN    1.0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1   NaN    1.0   \n",
       "\n",
       "                                                        B_40      S_27  D_113  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.100918  0.979416      0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.100454  0.928955      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.019818  0.003480      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.019811  0.292214      0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.039138       NaN      0   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.051020  0.424360      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.689859  0.003192      2   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.329433  0.007225      2   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.014737  0.208531      1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.051741  0.000568      1   \n",
       "\n",
       "                                                    D_114     D_115  D_116  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      1  0.256733      0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      1  0.255787      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      1  0.448894      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      1  0.454329      0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      1  0.389195      0   \n",
       "...                                                   ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      1  0.112499      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      1  0.012991      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      1  0.014967      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      1  0.028462      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      1  0.037532      0   \n",
       "\n",
       "                                                    D_117     D_118     D_119  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      5  0.253851  0.247433   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      5  0.260255  0.256656   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0  0.438787  0.444072   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0  0.446036  0.436884   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0  0.360258  0.359949   \n",
       "...                                                   ...       ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      0  0.368022  0.366133   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      0  0.056757  0.055291   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      3  0.018145  0.014904   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      4  0.033480  0.027028   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      4  0.037342  0.033036   \n",
       "\n",
       "                                                    D_120     D_121  D_122  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      0  0.719052      3   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      0  0.719791      3   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      1  0.539496      2   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0  0.551341      2   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0  0.443164      1   \n",
       "...                                                   ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      0  0.415203      1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      0  0.719930      1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      0  0.720130      1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0  0.717330      3   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0  0.728418      3   \n",
       "\n",
       "                                                    D_123  D_124  D_125  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      0     16      0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      0     16      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0      4      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0      4      0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0      7      0   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      0      5      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      1     18      2   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      1     18      1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0     11      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      0     11      0   \n",
       "\n",
       "                                                    D_126  D_127     D_128  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      2      1  0.999822   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      2      1  0.999737   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      2      0  1.006768   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      2      0  0.999252   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      2      0  0.000000   \n",
       "...                                                   ...    ...       ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      2      1  1.007510   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      2      0  0.000000   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      2      0  0.000000   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      2      1  1.006191   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      2      1  1.005669   \n",
       "\n",
       "                                                    D_129  B_41  B_42  \\\n",
       "customer_ID                                                             \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      1     0   NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...      1     0   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0     0   NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...      0     0   NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...      0     0   NaN   \n",
       "...                                                   ...   ...   ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...      1     0   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      0     0   NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...      0     0   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      1     0   NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...      1     0   NaN   \n",
       "\n",
       "                                                       D_130  D_131  D_132  \\\n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000    0.0    NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000    0.0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000    0.0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000    0.0    NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000000    0.0    NaN   \n",
       "...                                                      ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000000    0.0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  1.005598    0.0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  1.001044    0.0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000    0.0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000    0.0    NaN   \n",
       "\n",
       "                                                       D_133  R_28  D_134  \\\n",
       "customer_ID                                                                 \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000122     0    NaN   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.006210     0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.009592     0    NaN   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.002996     0    NaN   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.001980     0    NaN   \n",
       "...                                                      ...   ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.004513     0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.008586     0    NaN   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.000479     0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.003811     0    NaN   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.006312     0    NaN   \n",
       "\n",
       "                                                    D_135  D_136  D_137  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1     -1     -1   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1     -1     -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1     -1     -1   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1     -1     -1   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     -1     -1     -1   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     -1     -1     -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1     -1     -1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1     -1     -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1     -1     -1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1     -1     -1   \n",
       "\n",
       "                                                    D_138  D_139  D_140  \\\n",
       "customer_ID                                                               \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1      0      0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...     -1      0      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1      0      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...     -1      0      0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...     -1      0      0   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...     -1      0      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1      1      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...     -1      1      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1      0      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...     -1      0      0   \n",
       "\n",
       "                                                       D_141     D_142  D_143  \\\n",
       "customer_ID                                                                     \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000       NaN      0   \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.000000       NaN      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN      0   \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.000000       NaN      0   \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.000000       NaN      0   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000000       NaN      0   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.941114  0.434979      1   \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.949723  0.446255      1   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000       NaN      0   \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.000000       NaN      0   \n",
       "\n",
       "                                                       D_144  D_145  target  \n",
       "customer_ID                                                                  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.006346      0       0  \n",
       "0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fb...  0.002970      0       0  \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.002528      0       0  \n",
       "00000fd6641609c6ece5454664794f0340ad84dddce9a26...  0.003169      0       0  \n",
       "00001b22f846c82c51f6e3958ccd81970162bae8b007e80...  0.007325      0       0  \n",
       "...                                                      ...    ...     ...  \n",
       "ffff9984b999fccb2b6127635ed0736dda94e544e67e026...  0.000340      0       0  \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.004325      2       1  \n",
       "ffffa5c46bc8de74f5a4554e74e239c8dee6b9baf388145...  0.002502      2       1  \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.001168      0       0  \n",
       "fffff1d38b785cef84adeace64f8f83db3a0c31e8d92eab...  0.003184      0       0  \n",
       "\n",
       "[912706 rows x 190 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gc.collect()\n",
    "train_df = pd.merge(train_df, train_labels, left_index=True, right_index=True)\n",
    "train_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fff46086",
   "metadata": {
    "papermill": {
     "duration": 0.020383,
     "end_time": "2024-04-14T11:10:06.768405",
     "exception": false,
     "start_time": "2024-04-14T11:10:06.748022",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Preprocessing Date Column\n",
    "\n",
    "Purpose:\n",
    "This cell preprocesses the date column in the training data by converting it to Unix timestamp (seconds since Epoch) and then normalizing it using MinMaxScaler.\n",
    "\n",
    "## Steps:\n",
    "1. Manually trigger garbage collection using `gc.collect()` to free up memory.\n",
    "2. Convert the date column ('S_2') in the training data to datetime format using `pd.to_datetime`.\n",
    "3. Convert the datetime values to Unix timestamp (seconds since Epoch) and then to integer using `astype('int64') // 10**9`.\n",
    "4. Import `MinMaxScaler` from sklearn.preprocessing.\n",
    "5. Initialize a `MinMaxScaler` object `scaler`.\n",
    "6. Reshape the date column to fit the scaler using `scaler.fit_transform(train_df[['S_2']])`.\n",
    "7. Replace the original date column with the scaled values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d784e999",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:06.812193Z",
     "iopub.status.busy": "2024-04-14T11:10:06.811772Z",
     "iopub.status.idle": "2024-04-14T11:10:07.102152Z",
     "shell.execute_reply": "2024-04-14T11:10:07.100912Z"
    },
    "papermill": {
     "duration": 0.315858,
     "end_time": "2024-04-14T11:10:07.104988",
     "exception": false,
     "start_time": "2024-04-14T11:10:06.789130",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "gc.collect()\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "# Assuming df is your DataFrame and 'date_column' is your date column in datetime format\n",
    "train_df['S_2'] = pd.to_datetime(train_df['S_2'])\n",
    "# Convert the datetime to Unix timestamp (seconds since Epoch) and then to integer\n",
    "train_df['S_2'] = train_df['S_2'].astype('int64') // 10**9\n",
    "\n",
    "# Assuming 'date_as_int' is the column you want to normalize\n",
    "scaler = MinMaxScaler()\n",
    "\n",
    "# Reshape your data to fit the scaler\n",
    "date_int_scaled = scaler.fit_transform(train_df[['S_2']])\n",
    "\n",
    "# Replace the original column with the scaled values\n",
    "train_df['S_2'] = date_int_scaled\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc7d0371",
   "metadata": {
    "papermill": {
     "duration": 0.021165,
     "end_time": "2024-04-14T11:10:07.147314",
     "exception": false,
     "start_time": "2024-04-14T11:10:07.126149",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Encoding Categorical Features\n",
    "\n",
    "Purpose:\n",
    "This cell encodes the categorical features in the training data using LabelEncoder.\n",
    "\n",
    "## Steps:\n",
    "1. Manually trigger garbage collection using `gc.collect()` to free up memory.\n",
    "2. Define the list of categorical features `cat_features`.\n",
    "3. Initialize a `LabelEncoder` object `le_encoder` and an empty dictionary `le_encoders` to store individual encoders for each categorical feature.\n",
    "4. Iterate over each categorical feature in `cat_features`:\n",
    "   - If the feature is present in the columns of `train_df`, create a new `LabelEncoder` object for it, fit-transform the feature, and store the encoder in `le_encoders`.\n",
    "   - If the feature is not found in `train_df`, print a message indicating its absence.\n",
    "5. Define `all_cols` containing all columns in the DataFrame and `non_use_cols` containing columns that will not be used as features.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0f1bab64",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:07.191909Z",
     "iopub.status.busy": "2024-04-14T11:10:07.191456Z",
     "iopub.status.idle": "2024-04-14T11:10:15.670324Z",
     "shell.execute_reply": "2024-04-14T11:10:15.668898Z"
    },
    "papermill": {
     "duration": 8.50477,
     "end_time": "2024-04-14T11:10:15.673440",
     "exception": false,
     "start_time": "2024-04-14T11:10:07.168670",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "gc.collect()\n",
    "cat_features = [\n",
    "    \"B_30\",\n",
    "    \"B_38\",\n",
    "    \"D_114\",\n",
    "    \"D_116\",\n",
    "    \"D_117\",\n",
    "    \"D_120\",\n",
    "    \"D_126\",\n",
    "    \"D_63\",\n",
    "    \"D_64\",\n",
    "    \"D_66\",\n",
    "    \"D_68\"\n",
    "]\n",
    "\n",
    "le_encoder = LabelEncoder()\n",
    "le_encoders = {}\n",
    "\n",
    "for cat_feature in cat_features:\n",
    "    if cat_feature in train_df.columns:\n",
    "        le_encoders[cat_feature] = LabelEncoder()\n",
    "        train_df[cat_feature] = le_encoders[cat_feature].fit_transform(train_df[cat_feature].astype(str))\n",
    "    else:\n",
    "        print(f\"{cat_feature} not found in train_df.\")\n",
    "        \n",
    "all_cols = train_df.columns\n",
    "non_use_cols = ['target']   \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5361d37",
   "metadata": {
    "papermill": {
     "duration": 0.022122,
     "end_time": "2024-04-14T11:10:15.718224",
     "exception": false,
     "start_time": "2024-04-14T11:10:15.696102",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "##  Analyzing Missing Values\n",
    "\n",
    "Purpose:\n",
    "This cell analyzes and visualizes the missing values in the training data.\n",
    "\n",
    "## Steps:\n",
    "1. Manually trigger garbage collection using `gc.collect()` to free up memory.\n",
    "2. Calculate the count of missing values for each column in the training data using `.isna().sum().sort_values(ascending=False)`.\n",
    "3. Reset the index and rename the columns appropriately.\n",
    "4. Calculate the percentage of missing values for each column.\n",
    "5. Plot a barplot showing the percentage of missing values for the top 25 columns with the most missing values.\n",
    "6. Delete the `miss` DataFrame to free up memory.\n",
    "7. Display the plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1aac895a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:15.762751Z",
     "iopub.status.busy": "2024-04-14T11:10:15.762297Z",
     "iopub.status.idle": "2024-04-14T11:10:16.661711Z",
     "shell.execute_reply": "2024-04-14T11:10:16.660643Z"
    },
    "papermill": {
     "duration": 0.924463,
     "end_time": "2024-04-14T11:10:16.664141",
     "exception": false,
     "start_time": "2024-04-14T11:10:15.739678",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gc.collect()\n",
    "miss =train_df.isna().sum().sort_values(ascending=False).reset_index(drop=False).rename({0:'missing_count'}, axis=1)\n",
    "miss['miss_ratio'] = (miss['missing_count'] / train_df.shape[0]) * 100\n",
    "\n",
    "sns.barplot(data=miss[:25], x= 'miss_ratio', y='index', palette='YlOrBr_r', linewidth=0.7, edgecolor=\".2\")\n",
    "plt.title('Missing Value Ratios Per Column')\n",
    "plt.ylabel('Column')\n",
    "plt.xlabel('Percent of Missing Values')\n",
    "del miss\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "533304ef",
   "metadata": {
    "papermill": {
     "duration": 0.02262,
     "end_time": "2024-04-14T11:10:16.709396",
     "exception": false,
     "start_time": "2024-04-14T11:10:16.686776",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Missing Values\n",
    "\n",
    "Purpose:\n",
    "This cell handles missing values in the training data by removing columns with the most NaN values.\n",
    "\n",
    "## Steps:\n",
    "1. Manually trigger garbage collection using `gc.collect()` to free up memory.\n",
    "2. Calculate the count of missing values for each column in the training data using `.isna().sum()`.\n",
    "3. Sort the columns based on the count of missing values in descending order.\n",
    "4. Get the names of the top 15 columns with the most NaN values.\n",
    "5. Drop the columns with the most NaN values from the training data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fc813f5c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:16.755776Z",
     "iopub.status.busy": "2024-04-14T11:10:16.755300Z",
     "iopub.status.idle": "2024-04-14T11:10:17.338294Z",
     "shell.execute_reply": "2024-04-14T11:10:17.336957Z"
    },
    "papermill": {
     "duration": 0.610594,
     "end_time": "2024-04-14T11:10:17.341979",
     "exception": false,
     "start_time": "2024-04-14T11:10:16.731385",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "gc.collect()\n",
    "missing_values = train_df.isna().sum()\n",
    "\n",
    "# Sort columns based on missing values count\n",
    "sorted_columns = missing_values.sort_values(ascending=False)\n",
    "\n",
    "# Get names of top 20 columns with most NaN values\n",
    "top_20_columns_with_most_nans = sorted_columns.head(15).index.tolist()\n",
    "# Remove columns with most NaN values\n",
    "train_df = train_df.drop(columns=top_20_columns_with_most_nans)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba018b48",
   "metadata": {
    "papermill": {
     "duration": 0.021588,
     "end_time": "2024-04-14T11:10:17.385908",
     "exception": false,
     "start_time": "2024-04-14T11:10:17.364320",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Imputing Missing Values\n",
    "\n",
    "Purpose:\n",
    "This cell imputes missing values in the training data with the median for numerical columns.\n",
    "\n",
    "## Steps:\n",
    "1. Define `all_cols` containing all columns in the training data and `feature_cols` containing columns used as features.\n",
    "2. Iterate over each column in `feature_cols`:\n",
    "   - Check if the column is numerical (`dtype != 'object'`).\n",
    "   - If the column is numerical, fill missing values with the median of that column using `.fillna(train_df[col].median())`.\n",
    "3. Check for any remaining missing values after imputation using `isnull().sum()`.\n",
    "Finally, we must deal with columns that have no value (Nan), simply by removing those rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3d50da3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:17.433609Z",
     "iopub.status.busy": "2024-04-14T11:10:17.432689Z",
     "iopub.status.idle": "2024-04-14T11:10:20.772935Z",
     "shell.execute_reply": "2024-04-14T11:10:20.771849Z"
    },
    "papermill": {
     "duration": 3.367067,
     "end_time": "2024-04-14T11:10:20.775885",
     "exception": false,
     "start_time": "2024-04-14T11:10:17.408818",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "S_2       0\n",
      "P_2       0\n",
      "D_39      0\n",
      "B_1       0\n",
      "B_2       0\n",
      "         ..\n",
      "D_141     0\n",
      "D_143     0\n",
      "D_144     0\n",
      "D_145     0\n",
      "target    0\n",
      "Length: 175, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "all_cols = train_df.columns\n",
    "feature_cols = [col for col in all_cols if col not in non_use_cols]\n",
    "\n",
    "# Impute missing values with median for each column in the feature columns\n",
    "for col in feature_cols:\n",
    "    if train_df[col].dtype != 'object':  # If the column is numerical\n",
    "        train_df[col] = train_df[col].fillna(train_df[col].median())\n",
    "\n",
    "# Check if there are any missing values left\n",
    "print(train_df.isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "728d72bc",
   "metadata": {
    "papermill": {
     "duration": 0.024452,
     "end_time": "2024-04-14T11:10:20.824788",
     "exception": false,
     "start_time": "2024-04-14T11:10:20.800336",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Splitting Data into Features and Target\n",
    "\n",
    "Purpose:\n",
    "This cell splits the training data into features (X) and target (y) variables.\n",
    "\n",
    "## Steps:\n",
    "1. Copy the 'target' column from `train_df` to create the target variable `y`.\n",
    "2. Select the feature columns (`feature_cols`) from `train_df` to create the feature variables `x`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fb9aa6d4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:20.875664Z",
     "iopub.status.busy": "2024-04-14T11:10:20.874416Z",
     "iopub.status.idle": "2024-04-14T11:10:21.710715Z",
     "shell.execute_reply": "2024-04-14T11:10:21.709085Z"
    },
    "papermill": {
     "duration": 0.864872,
     "end_time": "2024-04-14T11:10:21.714028",
     "exception": false,
     "start_time": "2024-04-14T11:10:20.849156",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "y = train_df['target'].copy()\n",
    "x = train_df[feature_cols]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d05d5348",
   "metadata": {
    "papermill": {
     "duration": 0.021854,
     "end_time": "2024-04-14T11:10:21.759028",
     "exception": false,
     "start_time": "2024-04-14T11:10:21.737174",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Building a Model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "452a6e0c",
   "metadata": {
    "papermill": {
     "duration": 0.02512,
     "end_time": "2024-04-14T11:10:21.808319",
     "exception": false,
     "start_time": "2024-04-14T11:10:21.783199",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Training LightGBM Classifier with Progress Bar\n",
    "\n",
    "Purpose:\n",
    "This cell trains a LightGBM classifier with a progress bar to monitor training progress.\n",
    "\n",
    "## Steps:\n",
    "1. Manually trigger garbage collection using `gc.collect()` to free up memory.\n",
    "2. Split the data into training and validation sets using `train_test_split`.\n",
    "3. Create LightGBM datasets (`train_data` and `test_data`) from the training and validation sets.\n",
    "4. Define parameters (`params`) for the LightGBM classifier.\n",
    "5. Define a callback function (`callback_with_progress_bar`) to display training progress using tqdm.\n",
    "6. Train the LightGBM model (`gbm`) with the progress bar using `fit`.\n",
    "   - Set up evaluation sets, early stopping, log evaluation, and the custom callback function.\n",
    "   - Monitor evaluation metrics including AUC and binary logloss.\n",
    "Build a model using Random Forest to predict probability of Default or not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c0e19831",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:10:21.858329Z",
     "iopub.status.busy": "2024-04-14T11:10:21.857170Z",
     "iopub.status.idle": "2024-04-14T11:30:02.524701Z",
     "shell.execute_reply": "2024-04-14T11:30:02.522489Z"
    },
    "papermill": {
     "duration": 1180.695588,
     "end_time": "2024-04-14T11:30:02.528181",
     "exception": false,
     "start_time": "2024-04-14T11:10:21.832593",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ccb7dd90913c4963839b21c39208a2d0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Training progress:   0%|          | 0/2000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Info] Number of positive: 188894, number of negative: 541270\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 1.894883 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 40979\n",
      "[LightGBM] [Info] Number of data points in the train set: 730164, number of used features: 169\n",
      "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.258701 -> initscore=-1.052732\n",
      "[LightGBM] [Info] Start training from score -1.052732\n",
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      "[2024-04-14 11:29:36] Iteration: 1950, best_score: {}\n",
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      "[2024-04-14 11:29:46] Iteration: 1970, best_score: {}\n",
      "[2024-04-14 11:29:51] Iteration: 1980, best_score: {}\n",
      "[2024-04-14 11:29:57] Iteration: 1990, best_score: {}\n",
      "[2024-04-14 11:30:02] Iteration: 2000, best_score: {}\n",
      "[2000]\ttraining's auc: 0.97966\ttraining's binary_logloss: 0.167891\tvalid_1's auc: 0.960546\tvalid_1's binary_logloss: 0.220123\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[1996]\ttraining's auc: 0.979633\ttraining's binary_logloss: 0.167977\tvalid_1's auc: 0.960546\tvalid_1's binary_logloss: 0.220121\n"
     ]
    }
   ],
   "source": [
    "import lightgbm as lgb\n",
    "from tqdm.auto import tqdm\n",
    "import time\n",
    "from lightgbm import LGBMClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "import gc\n",
    "\n",
    "# Appel de gc.collect() pour nettoyer la mémoire\n",
    "gc.collect()\n",
    "\n",
    "# Division des données en ensembles d'entraînement et de validation\n",
    "Xtrain, Xvalid, Ytrain, Yvalid = train_test_split(x, y, test_size=0.20, random_state=42)\n",
    "\n",
    "# Création des ensembles de données pour LightGBM\n",
    "train_data = lgb.Dataset(Xtrain, label=Ytrain)\n",
    "test_data = lgb.Dataset(Xvalid, label=Yvalid, reference=train_data)\n",
    "\n",
    "# Paramètres de LightGBM\n",
    "params = {'boosting_type': 'gbdt',\n",
    "          'n_estimators': 2000,\n",
    "          'num_leaves': 50,\n",
    "          'learning_rate': 0.05,\n",
    "          'colsample_bytree': 0.9,\n",
    "          'min_child_samples': 2000,\n",
    "          'max_bins': 500,\n",
    "          'reg_alpha': 2,\n",
    "          'objective': 'binary',\n",
    "          'random_state': 21}\n",
    "\n",
    "# Fonction de rappel pour afficher la progression\n",
    "def callback_with_progress_bar(num_iterations):\n",
    "    def callback(env):\n",
    "        iteration = env.iteration + 1\n",
    "        if iteration == 1 or iteration % 10 == 0 or iteration == num_iterations:\n",
    "            tqdm.write(f'[{time.strftime(\"%Y-%m-%d %H:%M:%S\")}] Iteration: {iteration}, best_score: {env.model.best_score}')\n",
    "    return callback\n",
    "\n",
    "# Entraînement du modèle avec la barre de progression\n",
    "gbm = LGBMClassifier(**params)\n",
    "with tqdm(total=params['n_estimators'], desc=\"Training progress\") as pbar:\n",
    "    gbm.fit(Xtrain, Ytrain,\n",
    "            eval_set=[(Xtrain, Ytrain), (Xvalid, Yvalid)],\n",
    "            callbacks=[lgb.early_stopping(200), lgb.log_evaluation(500), callback_with_progress_bar(params['n_estimators']), lambda env: pbar.update(1)],\n",
    "            eval_metric=['auc','binary_logloss'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e1d91e73",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:30:02.615867Z",
     "iopub.status.busy": "2024-04-14T11:30:02.615184Z",
     "iopub.status.idle": "2024-04-14T11:30:02.623710Z",
     "shell.execute_reply": "2024-04-14T11:30:02.622336Z"
    },
    "papermill": {
     "duration": 0.056779,
     "end_time": "2024-04-14T11:30:02.626874",
     "exception": false,
     "start_time": "2024-04-14T11:30:02.570095",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#%%time\n",
    "#rfC = make_pipeline(StandardScaler(), RandomForestClassifier(n_estimators=300))  \n",
    "#del train_df\n",
    "#del train_labels\n",
    "#rfC.fit(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16d7e959",
   "metadata": {
    "papermill": {
     "duration": 0.042653,
     "end_time": "2024-04-14T11:30:02.712716",
     "exception": false,
     "start_time": "2024-04-14T11:30:02.670063",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Read Test Data and Predict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39d0d0ac",
   "metadata": {
    "papermill": {
     "duration": 0.04196,
     "end_time": "2024-04-14T11:30:02.795846",
     "exception": false,
     "start_time": "2024-04-14T11:30:02.753886",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Loading and Preprocessing Test Data\n",
    "\n",
    "Purpose:\n",
    "This cell loads the test data from a Parquet file, selects the latest statement date for each customer, sets the customer_ID as the index, and sorts the data by customer_ID.\n",
    "\n",
    "## Steps:\n",
    "1. Read the test data from the Parquet file using `pd.read_parquet`.\n",
    "2. Group the data by 'customer_ID'.\n",
    "3. Select the last row (latest statement date) for each customer using `groupby('customer_ID').tail(1)`.\n",
    "4. Set 'customer_ID' as the index of the DataFrame and drop it from the columns using `set_index('customer_ID', drop=True)`.\n",
    "5. Sort the DataFrame by 'customer_ID' using `sort_index()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b9104baa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:30:02.882739Z",
     "iopub.status.busy": "2024-04-14T11:30:02.882279Z",
     "iopub.status.idle": "2024-04-14T11:31:30.783240Z",
     "shell.execute_reply": "2024-04-14T11:31:30.781854Z"
    },
    "papermill": {
     "duration": 88.000128,
     "end_time": "2024-04-14T11:31:30.838677",
     "exception": false,
     "start_time": "2024-04-14T11:30:02.838549",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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       "      <td>2019-10-12</td>\n",
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       "    <tr>\n",
       "      <th>00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf6e56734528702d694</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5d60460dba6dedc41e</th>\n",
       "      <td>2019-04-14</td>\n",
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       "      <td>6</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
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       "      <td>-1</td>\n",
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       "      <td>0.003278</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a4f0ca3de613b0b2ad</th>\n",
       "      <td>2019-10-19</td>\n",
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       "    <tr>\n",
       "      <th>ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475cb095d2443a68030f1</th>\n",
       "      <td>2019-04-06</td>\n",
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       "    <tr>\n",
       "      <th>ffffddef1fc3643ea179c93245b68dca0f36941cd83977822e8b356988ca4d07</th>\n",
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       "    <tr>\n",
       "      <th>fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61cceb803ea8ec37634d</th>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>924621 rows × 189 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                           S_2       P_2  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  2019-10-12  0.568930   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  2019-04-15  0.841177   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  2019-10-16  0.697522   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  2019-04-22  0.513186   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  2019-10-22  0.254478   \n",
       "...                                                        ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  2019-04-14  0.646915   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  2019-10-19  0.471303   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  2019-04-06  0.206425   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  2019-04-08  0.570670   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  2019-04-18  0.454546   \n",
       "\n",
       "                                                    D_39       B_1       B_2  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     4  0.010779  1.009347   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     4  0.016562  1.009245   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0  0.001484  0.810072   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...    11  0.149511  0.205678   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...    26  0.563603  0.038021   \n",
       "...                                                  ...       ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0  0.011309  0.817037   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     0  0.084163  0.082507   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0  0.019952  1.004201   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     1  0.049776  0.192895   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0  0.000346  0.810128   \n",
       "\n",
       "                                                         R_1       S_3  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.000000  0.149413   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.000000  0.112195   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.000000  0.166165   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.000000  0.181200   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.503154  0.168317   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.000000  0.162921   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.508855  0.857136   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.000000  0.321134   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.000000  0.230847   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.000000       NaN   \n",
       "\n",
       "                                                        D_41       B_3  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.000000  0.003576   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.000000  0.011386   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.000000  0.015938   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.000000  0.498516   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.000000  0.830857   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.000000  0.028906   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.000000  0.070524   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.077758  0.014289   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.000000  0.099891   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.000000  0.003494   \n",
       "\n",
       "                                                        D_42      D_43  D_44  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.103745  0.007398     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...       NaN       NaN     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...       NaN  0.105303     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...       NaN  0.211615     2   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...       NaN  0.071884     3   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...       NaN  0.034703     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...       NaN  0.760330     2   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...       NaN  0.329028     4   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...       NaN  0.142936     3   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.113041       NaN     0   \n",
       "\n",
       "                                                    B_4      D_45       B_5  \\\n",
       "customer_ID                                                                   \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...    9  0.025111  0.050187   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...    1  0.099732  0.135907   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...   32  0.068810  0.004851   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...   19  0.237480  0.022947   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...   18  0.068580  0.011126   \n",
       "...                                                 ...       ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...    3  0.428233  0.008643   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...   16  0.036906  0.031937   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...   16  0.053430  0.026245   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...   53  0.081005  0.009505   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...    0  0.018879  0.005340   \n",
       "\n",
       "                                                    R_2      D_46      D_47  \\\n",
       "customer_ID                                                                   \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...    0  0.445881  0.489448   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...    0  0.445957  0.362383   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...    0  0.702994  0.204331   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...    0  0.414899  0.171934   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...    0  0.472838  0.039700   \n",
       "...                                                 ...       ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...    0       NaN  0.686751   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...    0  0.601992  0.101321   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...    0  0.442235  0.334874   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...    0  0.566698  0.554004   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...    0  0.461762  0.666607   \n",
       "\n",
       "                                                        D_48  D_49       B_6  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.517214    -1  0.024945   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.041712    -1  0.182720   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.522954    -1  0.058534   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.602520    -1  0.023546   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.959607    -1  0.011244   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.954820    -1  0.027490   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.845693    -1  0.038857   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.793447     9  0.022962   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.412095    10  0.008749   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.073455    -1  0.040591   \n",
       "\n",
       "                                                         B_7       B_8  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.163441  1.008730   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.014466  1.008640   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.090228  1.009375   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.206215  0.000000   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.261831  1.006200   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.102931  0.000000   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.268173  1.003777   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.173921  1.008006   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.541301  1.005291   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.126433  1.004649   \n",
       "\n",
       "                                                        D_50  D_51       B_9  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...       NaN     1  0.005263   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...       NaN     0  0.017454   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...       NaN     0  0.008629   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...       NaN     0  0.185255   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.039149     0  0.656698   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...       NaN     0  0.003751   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.074680     0  0.213360   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...       NaN     1  0.007356   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...       NaN     0  0.019560   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...       NaN     0  0.009540   \n",
       "\n",
       "                                                    R_3      D_52       P_3  \\\n",
       "customer_ID                                                                   \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...    1  0.115930  0.560515   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...    0  0.143998  0.525659   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...    0  0.235105  0.566616   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...    1  0.078085  0.628619   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...    0  0.021903  0.569771   \n",
       "...                                                 ...       ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...    0  0.089536  0.662081   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...    5  0.054571  0.478913   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...    4  0.022573  0.598557   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...    0  0.304219  0.613102   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...    0  0.173089  0.615136   \n",
       "\n",
       "                                                        B_10      D_53  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.033599       NaN   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.298735       NaN   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.129189       NaN   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.032124       NaN   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.022026       NaN   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.052210  0.008792   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.044610       NaN   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.047246  0.022828   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.030177       NaN   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.050361       NaN   \n",
       "\n",
       "                                                         S_5      B_11  S_6  \\\n",
       "customer_ID                                                                   \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.011795  0.005188    0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.009336  0.002235    0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.004455  0.003380    0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.320184  0.139062    0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.064127  0.514632    0   \n",
       "...                                                      ...       ...  ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.005318  0.000401    0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.090818  0.061206    0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.021156  0.009861    0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.001182  0.028423    0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.003663  0.001961    1   \n",
       "\n",
       "                                                    D_54  R_4       S_7  \\\n",
       "customer_ID                                                               \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...   1.0    0  0.159703   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...   1.0    0  0.081717   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...   1.0    0  0.170267   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...   1.0    0  0.552729   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...   1.0    0  0.115010   \n",
       "...                                                  ...  ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...   1.0    0  0.101865   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...   1.0    0  0.735411   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...   1.0    0  0.463522   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...   1.0    0  0.161919   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...   1.0    0       NaN   \n",
       "\n",
       "                                                        B_12   S_8      D_55  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.058696  1454  0.458377   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.054184  2402  0.053444   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.052914   379  0.418986   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.098741  1511  0.524700   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.016391   772  0.673749   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.006408  1133  0.233874   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.018791   996  0.482223   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.038369  1880  0.813390   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.013219     0  0.427046   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.009121     0  0.061671   \n",
       "\n",
       "                                                        D_56      B_13  R_5  \\\n",
       "customer_ID                                                                   \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...       NaN  0.063506    0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.063766  0.058585    0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...       NaN  0.048129    0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...       NaN  0.147453    0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...       NaN  0.006022    0   \n",
       "...                                                      ...       ...  ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.088947  0.010401    0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.087777  0.025905    0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.148187  0.033339    0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...       NaN  0.005132    0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...       NaN  0.002566    0   \n",
       "\n",
       "                                                        D_58       S_9  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.381320  0.016998   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.006375  0.018508   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.272541  0.009170   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.516813  0.012878   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.182204  0.006939   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.100334  0.002606   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.197010  0.081726   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.734715  0.012946   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.838955       NaN   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.201936       NaN   \n",
       "\n",
       "                                                        B_14  D_59      D_60  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.008621    25  0.013835   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.010847    34  0.685577   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.004427    12  0.003803   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.269620    43  0.641422   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.157513    29  0.800289   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.007735    37  0.007606   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.033480    40  0.103900   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.017145    44  0.068412   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.016486    34  0.005980   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.009531    37  0.001407   \n",
       "\n",
       "                                                        D_61      B_15  S_11  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.589184  0.014091    49   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.046726  0.005461     8   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.508047  0.006497    27   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.845192  0.252890    29   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.893650  0.006982    16   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.187009  0.009725    13   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.894671  0.007041    12   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.814947  0.019913    28   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.741450  0.000726    15   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.054106  0.001389    15   \n",
       "\n",
       "                                                        D_62  D_63  D_64  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.049326     0     3   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.330806     3     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.520753     0     3   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.016577     4     2   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.008594     3     2   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.111100     3     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.025270     3     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.013268     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.076901     3     3   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.075224     3     2   \n",
       "\n",
       "                                                    D_65  B_16      B_17  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     0     0       NaN   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     0     1       NaN   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0     0       NaN   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     0    12  0.668001   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     0    12  0.977441   \n",
       "...                                                  ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0     0       NaN   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     0     9  0.799603   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0     0       NaN   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     0    12  0.492614   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0     0       NaN   \n",
       "\n",
       "                                                        B_18  B_19  D_66  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.590569     0    -1   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  1.000000     0    -1   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.585974     0     1   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.149790    16    -1   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.210521    75    -1   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.689098     0    -1   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.186334     0    -1   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.590487     0    -1   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.087435     0    -1   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.695538     0    -1   \n",
       "\n",
       "                                                    B_20  D_68      S_12  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     0     6  0.187650   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     0     6  0.190710   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0     4  0.185771   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...    17     5  0.257537   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...    17     5  0.193552   \n",
       "...                                                  ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0     6  0.190066   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     4     6  0.237646   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0     6  0.093839   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...    17     5  0.193457   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0     6  0.186763   \n",
       "\n",
       "                                                         R_6  S_13      B_21  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.002591   574  0.006617   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.009712   290  0.004334   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.007611     0  0.007911   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.008202   711  0.003213   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.001731     0  0.005947   \n",
       "...                                                      ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.005413     0  0.005673   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.004918   435  0.960505   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.009898   415  0.004180   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.001944     0  0.004986   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.009948     0  0.004548   \n",
       "\n",
       "                                                        D_69  B_22  D_70  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.008136     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.001395     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.009446     0     1   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.003026     1     2   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.009732     3     0   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.007581     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.006508     0     1   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.009694     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.000939     0     2   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.005116     0     1   \n",
       "\n",
       "                                                        D_71  D_72  S_15  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.281546     0     6   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.010397     0     4   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.044768     0     7   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.017329     0     6   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.009581     0     7   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.223897     0     4   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.050171     0     7   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.024912     0     5   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.013216     0     8   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.010680     0     8   \n",
       "\n",
       "                                                        B_23      D_73  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.147274  0.178798   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.004756       NaN   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.088291       NaN   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.197840       NaN   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.223866       NaN   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.069389       NaN   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.236421       NaN   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.153116       NaN   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.571422       NaN   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.088091       NaN   \n",
       "\n",
       "                                                         P_4  D_74  D_75  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.964865     3     3   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.000000     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.000000     1     1   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.000000     7     9   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.000000     2     5   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.000000     1     1   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.000000     3     4   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.000000    13    13   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.000000    10    11   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.963926     1     1   \n",
       "\n",
       "                                                    D_76      B_24  R_7  \\\n",
       "customer_ID                                                               \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...   NaN  0.007062  0.0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...   NaN  0.008168  0.0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...   NaN  0.009076  0.0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...   NaN  0.004525  0.0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...   NaN  0.008543  0.0   \n",
       "...                                                  ...       ...  ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...   NaN  0.000180  0.0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...   NaN  0.000181  0.0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...   NaN  0.005781  0.0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...   NaN  0.001799  0.0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...   NaN  0.000289  0.0   \n",
       "\n",
       "                                                        D_77      B_25  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...       NaN  0.005402   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.302335  0.026572   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.482407  0.006430   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...       NaN  0.102625   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...       NaN  0.267949   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.106607  0.005289   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.027581  0.050300   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.010514  0.005626   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...       NaN  0.023848   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...       NaN  0.003934   \n",
       "\n",
       "                                                        B_26  D_78  D_79  R_8  \\\n",
       "customer_ID                                                                     \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.009328     0     0    0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.005945     0     0    0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.000994     0     0    0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.002596     0     0    0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.000010     2     0    0   \n",
       "...                                                      ...   ...   ...  ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.009750     0     0    0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.003441     0     0    0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.003667     0     3    0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.000045     0     1    0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.002523     0     0    0   \n",
       "\n",
       "                                                    R_9      S_16  D_80  R_10  \\\n",
       "customer_ID                                                                     \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...   -1  0.009269     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...   -1  0.005311     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...   -1  0.001589     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...   -1  0.003946     2     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...   -1  0.007018     0     1   \n",
       "...                                                 ...       ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...   -1  0.000421     1     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...   -1  0.760881     1     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...   -1  0.001894     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...   -1  0.007131     2     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...   -1  0.006847     0     0   \n",
       "\n",
       "                                                    R_11      B_27  D_81  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     0  0.000554     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     0  0.000172     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0  0.005905     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     0  0.001522     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     0  0.004185     0   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0  0.003436     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     0  0.002742     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0  0.009093     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     0  0.006311     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0  0.007246     0   \n",
       "\n",
       "                                                    D_82      S_17  R_12  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     1  0.007410   1.0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...    -1  0.002403   1.0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     1  0.009468   1.0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     2  0.009547   1.0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...    -1  0.006792   1.0   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...    -1  0.002519   1.0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...    -1  0.004456   1.0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     1  0.002906   1.0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...    -1  0.002998   1.0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...    -1  0.007428   1.0   \n",
       "\n",
       "                                                        B_28  R_13  D_83  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.140051     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.008613     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.284616     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.228848     0     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.093116     0     0   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.035124     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.104854     0     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.146094     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.615430     0     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.017756     0     0   \n",
       "\n",
       "                                                    R_14  R_15  D_84  R_16  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...   0.0     0     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...   0.0     0     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...   0.0     0     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...   0.0     0     0     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...   0.0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...   0.0     0     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...   0.0     0     0     3   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...   0.0     0     0     1   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...   0.0     0     0     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...   0.0     0     0     0   \n",
       "\n",
       "                                                        B_29  B_30  S_18  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.002720     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...       NaN     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.001870     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...       NaN     0     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.000034     1     0   \n",
       "...                                                      ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...       NaN     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.000055     0     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...       NaN     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...       NaN     0     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...       NaN     0     0   \n",
       "\n",
       "                                                    D_86  D_87  R_17  R_18  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     0    -1     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     0    -1     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0    -1     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     0    -1     0     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     0    -1     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0    -1     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     0    -1     0     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0    -1     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     0    -1     0     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0    -1     0     0   \n",
       "\n",
       "                                                    D_88  B_31      S_19  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...   NaN     1  0.003337   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...   NaN     1  0.008257   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...   NaN     1  0.005802   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...   NaN     1  0.008854   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...   NaN     1  0.001778   \n",
       "...                                                  ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...   NaN     1  0.005104   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...   NaN     1  0.015289   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...   NaN     1  0.001483   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...   NaN     1  0.007858   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...   NaN     1  0.008297   \n",
       "\n",
       "                                                    R_19  B_32  S_20  R_20  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     0     0     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     0     0     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0     0     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     0     0     0     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0     0     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     0     0     1     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0     0     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     0     0     0     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0     0     0     0   \n",
       "\n",
       "                                                    R_21  B_33  D_89  R_22  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     0     1     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     0     1     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0     1     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     0     0     0     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0     1     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     1     0     0     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0     1     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     0     0     0     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0     1     0     0   \n",
       "\n",
       "                                                    R_23  D_91  D_92  D_93  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     0     0     1     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     0     0     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0     0     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     0     0     0     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0     0     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     0     0     0     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0     0     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     0     0     0     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0     0     0     0   \n",
       "\n",
       "                                                    D_94  R_24  R_25  D_96  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     0     0     0     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     0     0     0     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     0     0     0     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     0     0     0     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     0     0     0     0   \n",
       "...                                                  ...   ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     0     0     0     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     0     0     0     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     0     0     0     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     0     0     0     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     0     0     0     0   \n",
       "\n",
       "                                                        S_22      S_23  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.980107  0.135788   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.928590  0.135659   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.041972  0.133058   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.960584  0.137947   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.964983  0.188993   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.836470  0.140142   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.988862  0.136317   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.957987  0.137776   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.874205  0.132707   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.298074  0.135085   \n",
       "\n",
       "                                                        S_24      S_25  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.957597  0.970630   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.939332  0.974450   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.044327  0.970232   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.976037  0.977825   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.960863  0.339719   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.777804  0.971015   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.985030  0.976496   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.950645  0.978241   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.883833  0.978553   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.139851  0.969859   \n",
       "\n",
       "                                                        S_26     D_102  D_103  \\\n",
       "customer_ID                                                                     \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.080587  0.003999      0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.020564  0.007385      0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.004460  0.336426      1   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.037242  0.435399      1   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.006477  0.007801      0   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.006301  0.005173      0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.008563  0.187847      1   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.008390  0.006798      0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.005372  0.140455      1   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.008718  0.008192      0   \n",
       "\n",
       "                                                       D_104     D_105  D_106  \\\n",
       "customer_ID                                                                     \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.000000       NaN     -1   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.000000       NaN     -1   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.965552  0.287646     -1   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.963674  0.224398     -1   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.000000       NaN     -1   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.000000       NaN     -1   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.963037  0.227022     -1   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.000000       NaN      7   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.962176  0.143969      4   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.000000       NaN     -1   \n",
       "\n",
       "                                                    D_107      B_36      B_37  \\\n",
       "customer_ID                                                                     \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      0  0.001118  0.007948   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      0  0.007424  0.012894   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      1  0.004671  0.005816   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      1  0.002787  0.146753   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      0  0.009777  0.558505   \n",
       "...                                                   ...       ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      0  0.005989  0.008154   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      1  0.009995  0.078828   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      0  0.004535  0.022870   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      1  0.004647  0.054701   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      0  0.005913  0.008330   \n",
       "\n",
       "                                                    R_26      R_27  B_38  \\\n",
       "customer_ID                                                                \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...    -1  1.002286     2   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...    -1  1.000501     2   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...    -1  1.004291     2   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...    -1  1.001619     3   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     1  0.011080     6   \n",
       "...                                                  ...       ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...    -1  1.002191     1   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     0  0.015036     3   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...    25 -0.000828     3   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...    -1  1.000054     3   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...    -1  1.001787     1   \n",
       "\n",
       "                                                    D_108  D_109  D_110  \\\n",
       "customer_ID                                                               \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     -1      0    NaN   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     -1      0    NaN   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     -1      0    NaN   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     -1      0    NaN   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     -1      0    NaN   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     -1      0    NaN   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     -1      0    NaN   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     -1      0    NaN   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     -1      0    NaN   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      0      0    NaN   \n",
       "\n",
       "                                                    D_111  B_39     D_112  \\\n",
       "customer_ID                                                                 \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     -1   NaN  1.000000   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     -1   NaN  1.000000   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     -1   NaN  1.000000   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     -1   NaN  0.018601   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     -1   NaN  1.000000   \n",
       "...                                                   ...   ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     -1   NaN  1.000000   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     -1   NaN  1.000000   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     -1   NaN  0.011235   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     -1   NaN  1.000000   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     -1   NaN  1.000000   \n",
       "\n",
       "                                                        B_40      S_27  D_113  \\\n",
       "customer_ID                                                                     \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.375581  0.346436      0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.005498  0.590974      0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  0.096783  0.007752      2   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.228404  1.045025      1   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.081060  0.006672      0   \n",
       "...                                                      ...       ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  0.190817  0.000032      0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.366902  0.504451      0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.225571  0.599014      0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.408257       NaN      0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.091196       NaN      0   \n",
       "\n",
       "                                                    D_114     D_115  D_116  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      0  0.251319      0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      1  0.317455      0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      0  0.079162      0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      0  0.032392      0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      0  0.015457      0   \n",
       "...                                                   ...       ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      1  0.630633      0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      1  0.317063      0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      1  0.217459      0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      1  0.355649      0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      0  0.907772      0   \n",
       "\n",
       "                                                    D_117     D_118     D_119  \\\n",
       "customer_ID                                                                     \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      0  0.247260  0.253783   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      4  0.316734  0.318151   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      4  0.079331  0.079235   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      5  0.037828  0.032970   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      0  0.210910  0.214071   \n",
       "...                                                   ...       ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      4  0.628384  0.623461   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      4  0.319376  0.316765   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      4  0.207541  0.205271   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      0  0.668683  0.666316   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      7  0.897394  0.896819   \n",
       "\n",
       "                                                    D_120     D_121  D_122  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      1  0.199254      1   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      0  0.854850      4   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      0  0.279283      2   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      0  0.223874      1   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      1  0.167715      1   \n",
       "...                                                   ...       ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      0  0.744203      4   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      0  0.515382      2   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      0  0.798495      4   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      1  0.616362      1   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      1  0.878692      3   \n",
       "\n",
       "                                                    D_123  D_124  D_125  \\\n",
       "customer_ID                                                               \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      0      1      0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      0     15      0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      0      7      0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      0      4      0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      0      1      0   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      0      6      0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      0     11      0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      0     13      0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      0      6      0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      0      3      0   \n",
       "\n",
       "                                                    D_126  D_127     D_128  \\\n",
       "customer_ID                                                                  \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      1      0  0.000000   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      2      0  0.999368   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      1      0  0.000000   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      2      0  0.000000   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      1      0  1.003109   \n",
       "...                                                   ...    ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      2      0  1.005428   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      2      0  1.005452   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      2      0  1.002627   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      2      0  0.000000   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      2      0  0.000000   \n",
       "\n",
       "                                                    D_129  B_41  B_42  \\\n",
       "customer_ID                                                             \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      0     0   NaN   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      0     0   NaN   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      0     0   NaN   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      0     0   NaN   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      1     0   NaN   \n",
       "...                                                   ...   ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      0     0   NaN   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      1     0   NaN   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      0     0   NaN   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      0     0   NaN   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      0     0   NaN   \n",
       "\n",
       "                                                       D_130     D_131  \\\n",
       "customer_ID                                                              \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...  0.000000  0.000000   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...  0.000000  0.000000   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...  1.003890  0.000000   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...  0.000000  0.000000   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...  0.000000  0.000000   \n",
       "...                                                      ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...  1.009325  0.000000   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...  0.000000  0.000000   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  1.008923  0.979201   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  1.009811  1.004829   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...  0.000000  0.000000   \n",
       "\n",
       "                                                       D_132     D_133  R_28  \\\n",
       "customer_ID                                                                    \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...       NaN  0.006273     0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...       NaN  0.002767     0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...       NaN  0.002045     0   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...       NaN  0.009377     0   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...       NaN  0.007940     0   \n",
       "...                                                      ...       ...   ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...       NaN  0.009844     0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...       NaN  0.001985     0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...  0.145253  0.274885     0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...  0.382184  0.750931     0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...       NaN  0.000060     0   \n",
       "\n",
       "                                                    D_134  D_135  D_136  \\\n",
       "customer_ID                                                               \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...    NaN     -1     -1   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...    NaN     -1     -1   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...    NaN     -1     -1   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...    NaN     -1     -1   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...    NaN     -1     -1   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...    NaN     -1     -1   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...    NaN     -1     -1   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...    NaN     -1     -1   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...    NaN     -1     -1   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...    NaN     -1     -1   \n",
       "\n",
       "                                                    D_137  D_138  D_139  \\\n",
       "customer_ID                                                               \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...     -1     -1      0   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...     -1     -1      0   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...     -1     -1      1   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...     -1     -1      1   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...     -1     -1      0   \n",
       "...                                                   ...    ...    ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...     -1     -1      0   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...     -1     -1      0   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...     -1     -1      0   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...     -1     -1      0   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...     -1     -1      0   \n",
       "\n",
       "                                                    D_140     D_141     D_142  \\\n",
       "customer_ID                                                                     \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      0  0.000000       NaN   \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      0  0.000000       NaN   \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      0  0.896224  0.150203   \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      0  0.919774  0.255263   \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      0  0.000000       NaN   \n",
       "...                                                   ...       ...       ...   \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      0  0.000000       NaN   \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      0  0.000000       NaN   \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      0  0.000000       NaN   \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      0  0.000000       NaN   \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      0  0.000000       NaN   \n",
       "\n",
       "                                                    D_143     D_144  D_145  \n",
       "customer_ID                                                                 \n",
       "00000469ba478561f23a92a868bd366de6f6527a684c9a2...      0  0.003690      0  \n",
       "00001bf2e77ff879fab36aa4fac689b9ba411dae63ae397...      0  0.000247      0  \n",
       "0000210045da4f81e5f122c6bde5c2a617d03eef67f82c5...      1  0.457819      1  \n",
       "00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976cf...      1  0.500924      2  \n",
       "00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9a...      0  0.001558      0  \n",
       "...                                                   ...       ...    ...  \n",
       "ffff952c631f2c911b8a2a8ca56ea6e656309a83d2f64c5...      0  0.003278      0  \n",
       "ffffcf5df59e5e0bba2a5ac4578a34e2b5aa64a1546cd3a...      0  0.005432      0  \n",
       "ffffd61f098cc056dbd7d2a21380c4804bbfe60856f475c...      0  0.004849      0  \n",
       "ffffddef1fc3643ea179c93245b68dca0f36941cd839778...      0  0.007482      0  \n",
       "fffffa7cf7e453e1acc6a1426475d5cb9400859f82ff61c...      0  0.006442      0  \n",
       "\n",
       "[924621 rows x 189 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df = pd.read_parquet('../input/amex-data-integer-dtypes-parquet-format/test.parquet').groupby('customer_ID').tail(1).set_index('customer_ID', drop=True).sort_index()\n",
    "test_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "959e6000",
   "metadata": {
    "papermill": {
     "duration": 0.046225,
     "end_time": "2024-04-14T11:31:30.932633",
     "exception": false,
     "start_time": "2024-04-14T11:31:30.886408",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Encoding Categorical Features in Test Data\n",
    "\n",
    "Purpose:\n",
    "This cell encodes the categorical features in the test data using the LabelEncoders from the training data.\n",
    "\n",
    "## Steps:\n",
    "1. Manually trigger garbage collection using `gc.collect()` to free up memory.\n",
    "2. Iterate over each categorical feature (`cat_feature`) and its corresponding encoder (`encoder`) in `le_encoders`.\n",
    "3. If the categorical feature is present in the test data columns, transform it using the encoder.\n",
    "4. If the categorical feature is not found in the test data, print a message indicating its absence.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a81b655a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:31:31.028558Z",
     "iopub.status.busy": "2024-04-14T11:31:31.028128Z",
     "iopub.status.idle": "2024-04-14T11:31:39.360000Z",
     "shell.execute_reply": "2024-04-14T11:31:39.358672Z"
    },
    "papermill": {
     "duration": 8.382317,
     "end_time": "2024-04-14T11:31:39.362928",
     "exception": false,
     "start_time": "2024-04-14T11:31:30.980611",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "gc.collect()\n",
    "for cat_feature, encoder in le_encoders.items():\n",
    "    if cat_feature in test_df.columns:\n",
    "        test_df[cat_feature] = encoder.transform(test_df[cat_feature].astype(str))\n",
    "    else:\n",
    "        print(f\"{cat_feature} not found in test_df.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a38b3f3",
   "metadata": {
    "papermill": {
     "duration": 0.047062,
     "end_time": "2024-04-14T11:31:39.457077",
     "exception": false,
     "start_time": "2024-04-14T11:31:39.410015",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Preprocessing Test Data\n",
    "\n",
    "Purpose:\n",
    "This cell preprocesses the test data by imputing missing values with the median for numerical columns, converting the datetime column to Unix timestamp, scaling the datetime column, and dropping columns with the most missing values.\n",
    "\n",
    "## Steps:\n",
    "1. Impute missing values with the median for each numerical column in the feature columns using `.fillna(test_df[col].median())`.\n",
    "2. Check if there are any remaining missing values after imputation using `isnull().sum()`.\n",
    "3. Convert the datetime column ('S_2') to datetime format using `pd.to_datetime`.\n",
    "4. Convert datetime values to Unix timestamp and then to integer using `astype('int64') // 10**9`.\n",
    "5. Scale the datetime column using `scaler.fit_transform`.\n",
    "6. Drop columns with the most missing values from the test data.Getting rid of Nans in test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4b2dbe9a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:31:39.553644Z",
     "iopub.status.busy": "2024-04-14T11:31:39.553181Z",
     "iopub.status.idle": "2024-04-14T11:31:57.643739Z",
     "shell.execute_reply": "2024-04-14T11:31:57.642238Z"
    },
    "papermill": {
     "duration": 18.14325,
     "end_time": "2024-04-14T11:31:57.646811",
     "exception": false,
     "start_time": "2024-04-14T11:31:39.503561",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "S_2           0\n",
      "P_2           0\n",
      "D_39          0\n",
      "B_1           0\n",
      "B_2           0\n",
      "          ...  \n",
      "D_141         0\n",
      "D_142    763770\n",
      "D_143         0\n",
      "D_144         0\n",
      "D_145         0\n",
      "Length: 189, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Ensure you're operating on the original DataFrame by using .loc\n",
    "for col in feature_cols:\n",
    "    if test_df[col].dtype != 'object':  # If the column is numerical\n",
    "        test_df.loc[:, col] = test_df.loc[:, col].fillna(test_df[col].median())\n",
    "\n",
    "# Check if there are any missing values left\n",
    "print(test_df.isnull().sum())\n",
    "\n",
    "#We change the datetime:\n",
    "test_df['S_2'] = pd.to_datetime(test_df['S_2'])\n",
    "test_df['S_2'] = test_df['S_2'].astype('int64') // 10**9\n",
    "date_int_scaledt = scaler.fit_transform(test_df[['S_2']])\n",
    "test_df['S_2'] = date_int_scaledt\n",
    "\n",
    "#Drop the columns with the most missing values\n",
    "test_df = test_df.drop(columns=top_20_columns_with_most_nans)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6eebc831",
   "metadata": {
    "papermill": {
     "duration": 0.049001,
     "end_time": "2024-04-14T11:31:57.743899",
     "exception": false,
     "start_time": "2024-04-14T11:31:57.694898",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Making Predictions on Test Data\n",
    "\n",
    "Purpose:\n",
    "This cell makes predictions on the test data using the trained LightGBM model (`gbm`).\n",
    "\n",
    "## Steps:\n",
    "1. Manually trigger garbage collection using `gc.collect()` to free up memory.\n",
    "2. Predict the probabilities of the positive class (target = 1) for the test data using `gbm.predict_proba(test_df)[:, 1]`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bdf3f950",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:31:57.843228Z",
     "iopub.status.busy": "2024-04-14T11:31:57.842762Z",
     "iopub.status.idle": "2024-04-14T11:36:24.137487Z",
     "shell.execute_reply": "2024-04-14T11:36:24.135885Z"
    },
    "papermill": {
     "duration": 266.388657,
     "end_time": "2024-04-14T11:36:24.182426",
     "exception": false,
     "start_time": "2024-04-14T11:31:57.793769",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.02939473, 0.00175623, 0.02960819, ..., 0.35676836, 0.22918173,\n",
       "       0.05116596])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gc.collect()\n",
    "y_pred = gbm.predict_proba(test_df)[:,1]\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d5b4515",
   "metadata": {
    "papermill": {
     "duration": 0.046921,
     "end_time": "2024-04-14T11:36:24.276224",
     "exception": false,
     "start_time": "2024-04-14T11:36:24.229303",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## AMEX Metric Calculation\n",
    "\n",
    "Purpose:\n",
    "This cell defines a custom evaluation metric function called `amex_metric` as per the competition's requirements.\n",
    "\n",
    "## Steps:\n",
    "1. Define a function `top_four_percent_captured` to calculate the percentage of true positives captured within the top 4% of predictions.\n",
    "2. Define a function `weighted_gini` to calculate the weighted Gini coefficient.\n",
    "3. Define a function `normalized_weighted_gini` to calculate the normalized weighted Gini coefficient.\n",
    "4. Calculate the AMEX metric by combining the normalized weighted Gini coefficient and the percentage of true positives captured.\n",
    "5. Return the AMEX metric value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "93714b7b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:36:24.373730Z",
     "iopub.status.busy": "2024-04-14T11:36:24.373265Z",
     "iopub.status.idle": "2024-04-14T11:36:24.389581Z",
     "shell.execute_reply": "2024-04-14T11:36:24.388301Z"
    },
    "papermill": {
     "duration": 0.068232,
     "end_time": "2024-04-14T11:36:24.392326",
     "exception": false,
     "start_time": "2024-04-14T11:36:24.324094",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#This is the metric we are asked to use\n",
    "def amex_metric(y_true: pd.DataFrame, y_pred: pd.DataFrame) -> float:\n",
    "\n",
    "    def top_four_percent_captured(y_true: pd.DataFrame, y_pred: pd.DataFrame) -> float:\n",
    "        df = (pd.concat([y_true, y_pred], axis='columns')\n",
    "              .sort_values('prediction', ascending=False))\n",
    "        df['weight'] = df['target'].apply(lambda x: 20 if x==0 else 1)\n",
    "        four_pct_cutoff = int(0.04 * df['weight'].sum())\n",
    "        df['weight_cumsum'] = df['weight'].cumsum()\n",
    "        df_cutoff = df.loc[df['weight_cumsum'] <= four_pct_cutoff]\n",
    "        return (df_cutoff['target'] == 1).sum() / (df['target'] == 1).sum()\n",
    "        \n",
    "    def weighted_gini(y_true: pd.DataFrame, y_pred: pd.DataFrame) -> float:\n",
    "        df = (pd.concat([y_true, y_pred], axis='columns')\n",
    "              .sort_values('prediction', ascending=False))\n",
    "        df['weight'] = df['target'].apply(lambda x: 20 if x==0 else 1)\n",
    "        df['random'] = (df['weight'] / df['weight'].sum()).cumsum()\n",
    "        total_pos = (df['target'] * df['weight']).sum()\n",
    "        df['cum_pos_found'] = (df['target'] * df['weight']).cumsum()\n",
    "        df['lorentz'] = df['cum_pos_found'] / total_pos\n",
    "        df['gini'] = (df['lorentz'] - df['random']) * df['weight']\n",
    "        return df['gini'].sum()\n",
    "\n",
    "    def normalized_weighted_gini(y_true: pd.DataFrame, y_pred: pd.DataFrame) -> float:\n",
    "        y_true_pred = y_true.to_frame(name='prediction')\n",
    "        return weighted_gini(y_true, y_pred) / weighted_gini(y_true, y_true_pred)\n",
    "\n",
    "    g = normalized_weighted_gini(y_true, y_pred)\n",
    "    d = top_four_percent_captured(y_true, y_pred)\n",
    "\n",
    "    return 0.5 * (g + d)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23a9fa70",
   "metadata": {
    "papermill": {
     "duration": 0.046501,
     "end_time": "2024-04-14T11:36:24.485464",
     "exception": false,
     "start_time": "2024-04-14T11:36:24.438963",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Creating DataFrame for Predicted Probabilities\n",
    "\n",
    "Purpose:\n",
    "This cell creates a DataFrame containing the predicted probabilities for the positive class.\n",
    "\n",
    "## Steps:\n",
    "1. Create a DataFrame `df_y_pred` containing the predicted probabilities for the positive class (`y_pred`).\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1e7f6a35",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:36:24.581977Z",
     "iopub.status.busy": "2024-04-14T11:36:24.581533Z",
     "iopub.status.idle": "2024-04-14T11:36:24.595149Z",
     "shell.execute_reply": "2024-04-14T11:36:24.593771Z"
    },
    "papermill": {
     "duration": 0.065489,
     "end_time": "2024-04-14T11:36:24.597808",
     "exception": false,
     "start_time": "2024-04-14T11:36:24.532319",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.029395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.001756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.029608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.194422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.900975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924616</th>\n",
       "      <td>0.016988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924617</th>\n",
       "      <td>0.768126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924618</th>\n",
       "      <td>0.356768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924619</th>\n",
       "      <td>0.229182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924620</th>\n",
       "      <td>0.051166</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>924621 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               0\n",
       "0       0.029395\n",
       "1       0.001756\n",
       "2       0.029608\n",
       "3       0.194422\n",
       "4       0.900975\n",
       "...          ...\n",
       "924616  0.016988\n",
       "924617  0.768126\n",
       "924618  0.356768\n",
       "924619  0.229182\n",
       "924620  0.051166\n",
       "\n",
       "[924621 rows x 1 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#df_y_pred = pd.DataFrame({\"target0_prob\": y_pred_proba[:, 0], \"target1_prob\": y_pred_proba[:, 1]})\n",
    "df_y_pred=pd.DataFrame(y_pred)\n",
    "df_y_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2858a735",
   "metadata": {
    "papermill": {
     "duration": 0.048051,
     "end_time": "2024-04-14T11:36:24.693998",
     "exception": false,
     "start_time": "2024-04-14T11:36:24.645947",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Generating Submission File\n",
    "\n",
    "Purpose:\n",
    "This cell generates a submission file containing the predictions and saves it as a CSV file.\n",
    "\n",
    "## Steps:\n",
    "1. Read the sample submission file (`sample_submission.csv`) using `pd.read_csv`.\n",
    "2. Add the predictions (`y_pred`) as a new column named \"prediction\" to the DataFrame `sub`.\n",
    "3. Save the modified DataFrame as a CSV file named \"submission6.csv\" using `to_csv`.\n",
    "4. Print the first few rows of the modified DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "60878561",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-14T11:36:24.792728Z",
     "iopub.status.busy": "2024-04-14T11:36:24.792259Z",
     "iopub.status.idle": "2024-04-14T11:36:33.304474Z",
     "shell.execute_reply": "2024-04-14T11:36:33.303207Z"
    },
    "papermill": {
     "duration": 8.565864,
     "end_time": "2024-04-14T11:36:33.307593",
     "exception": false,
     "start_time": "2024-04-14T11:36:24.741729",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                         customer_ID  prediction\n",
      "0  00000469ba478561f23a92a868bd366de6f6527a684c9a...    0.029395\n",
      "1  00001bf2e77ff879fab36aa4fac689b9ba411dae63ae39...    0.001756\n",
      "2  0000210045da4f81e5f122c6bde5c2a617d03eef67f82c...    0.029608\n",
      "3  00003b41e58ede33b8daf61ab56d9952f17c9ad1c3976c...    0.194422\n",
      "4  00004b22eaeeeb0ec976890c1d9bfc14fd9427e98c4ee9...    0.900975\n"
     ]
    }
   ],
   "source": [
    "sub = pd.read_csv('../input/amex-default-prediction/sample_submission.csv')\n",
    "sub[\"prediction\"] = y_pred\n",
    "sub.to_csv('submission6.csv', index=False)\n",
    "print(sub.head())"
   ]
  }
 ],
 "metadata": {
  "kaggle": {
   "accelerator": "none",
   "dataSources": [
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     "databundleVersionId": 3723648,
     "sourceId": 35332,
     "sourceType": "competition"
    },
    {
     "datasetId": 2231132,
     "sourceId": 3739819,
     "sourceType": "datasetVersion"
    }
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   "dockerImageVersionId": 30673,
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