model-33-predict-lgb-remove_outlier_03.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change Log:\n",
    "- v32 - remove building with too large percent error\n",
    "- v20 - lower learning rate = 0.0008, add height_r and top_floor index\n",
    "- v16 - change parameters (some from model 05), rm reduce to 68\n",
    "- v14 - change random seed\n",
    "- v10 - remove features based on feature importance results (exp-l04-per-area)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import pickle\n",
    "import itertools\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import lightgbm as lgb\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from utilities import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = 'model-33-lgb-remove_outlier_03'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "is_log_target = True\n",
    "is_per_area_target = True\n",
    "rm_outlier = True\n",
    "outlier_pct = 3 # 1, 3, 5\n",
    "\n",
    "map_target = {\n",
    "    (True, True):   'log_per_area_total_price',\n",
    "    (True, False):  'log_total_price',\n",
    "    (False, True):  'per_area_total_price',\n",
    "    (False, False): 'total_price'\n",
    "}\n",
    "col_target = map_target[(is_log_target, is_per_area_target)]\n",
    "\n",
    "#cols_feats_add = ['encoded_latlon', 'building_per_land_area'] # add feats into model\n",
    "cols_num_add = ['building_per_land_area', 'height_r']\n",
    "cols_cat_add = ['encoded_latlon']\n",
    "\n",
    "#cols_feats_rm = [] # TODO: implement before using it\n",
    "#['day_in_year_txn_dt', 'day_in_year_building_complete_dt', 'dt_diff_building_complete_dt_txn_dt'] # dt num feats\n",
    "#['dow_txn_dt', 'dow_building_complete_dt', 'month_txn_dt', 'month_building_complete_dt',\n",
    "# 'quarter_txn_dt', 'quarter_building_complete_dt', 'year_txn_dt', 'year_building_complete_dt'] # dt cat feats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pre_processing(df, cols_num, cols_cat): #, cols_feats\n",
    "    # Convert types\n",
    "    df[cols_num] = df[cols_num].astype('float32')\n",
    "    \n",
    "    # generate target\n",
    "    if 'total_price' in df:\n",
    "        df['total_price'] = df['total_price'].astype('float32')\n",
    "        df['log_total_price'] = np.log1p(df['total_price'])\n",
    "        df['per_area_total_price'] = df['total_price'] / df['building_area']\n",
    "        df['log_per_area_total_price'] = np.log1p(df['per_area_total_price'])\n",
    "        df['target'] = df[col_target]\n",
    "\n",
    "    # generate lat/lon encoded\n",
    "    kmeans = pickle.load(open('./object_kmeans_k6_combined.pkl', 'rb'))\n",
    "    df['encoded_latlon'] = kmeans.predict(df[['lat','lon']])\n",
    "    \n",
    "    # generate dt feats\n",
    "    df = create_dt_feats(df, 'txn_dt')\n",
    "    df = create_dt_feats(df, 'building_complete_dt')\n",
    "    df['dt_diff_building_complete_dt_txn_dt'] = df['txn_dt'] - df['building_complete_dt']\n",
    "    \n",
    "    # generate building to land ratio\n",
    "    df['building_per_land_area'] = df['building_area'] / df['land_area']\n",
    " \n",
    "    #cols_feats = cols_num + cols_cat + cols_feats_add\n",
    "    \n",
    "    # fix town and city\n",
    "    df['town'] = df['city'].astype('str')+'-'+df['town'].astype('str')\n",
    "    df['village'] = df['town'].astype('str')+'-'+df['village'].astype('str')\n",
    "    \n",
    "    # height ratio\n",
    "    df['height_r'] = df['txn_floor'] / df['total_floor']\n",
    "    df['top_floor'] = df['txn_floor'] == df['total_floor']\n",
    "    \n",
    "    return df  #, cols_feats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from feature_engineering import CategoricalColumnsEncoder\n",
    "from feature_engineering import TargetMeanEncoding\n",
    "from feature_engineering import MultiLabelEncoding\n",
    "\n",
    "class FeatureEngineering():\n",
    "    def __init__(self, cols_num, cols_cat, cols_feats, col_target, n_ran_encode=4):\n",
    "        # cols\n",
    "        self.cols_num = cols_num\n",
    "        self.cols_cat = cols_cat\n",
    "        self.cols_feats = cols_feats\n",
    "        self.col_target = col_target\n",
    "        \n",
    "        # Numbers\n",
    "        self.n_ran_encode = n_ran_encode\n",
    "        \n",
    "        # encoders\n",
    "        #self.tar_encoder = TargetMeanEncoding(col_target = self.col_target)\n",
    "        #self.ran_encoder = MultiLabelEncoding(self.n_ran_encode)\n",
    "        self.cat_astyper = CategoricalColumnsEncoder(mode='pandas')\n",
    "        \n",
    "    def fit_transform(self, df):\n",
    "        df = df.copy()\n",
    "    \n",
    "#        encoded1 = self.tar_encoder.fit_transform(df[self.cols_cat], df[self.col_target])\n",
    "#        encoded2 = self.ran_encoder.fit_transform(df[self.cols_cat])\n",
    "        self.cat_astyper.fit_transform(df, self.cols_cat)    \n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)\n",
    "    \n",
    "    def transform(self, df):\n",
    "        df = df.copy()\n",
    "#        encoded1 = self.tar_encoder.transform(df[self.cols_cat])\n",
    "#        encoded2 = self.ran_encoder.transform(df[self.cols_cat])     # TODO: add generated feats into cols_feats\n",
    "        self.cat_astyper.transform(df)\n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def post_processing(y_pred, df):\n",
    "    \"\"\"Args: \n",
    "          y_pred (1d np.array): raw prediction y\n",
    "          df (pd.Dataframe): input feature df\n",
    "       Return: np.array\n",
    "    \"\"\"\n",
    "    y_pred_final = y_pred.copy()\n",
    "    \n",
    "    if is_log_target:\n",
    "        y_pred_final = np.expm1(y_pred_final)\n",
    "        y_pred_final = np.clip(y_pred_final, 0, None)\n",
    "\n",
    "    if is_per_area_target:\n",
    "        y_pred_final = y_pred_final * df['building_area'].values\n",
    "        \n",
    "    return y_pred_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = ['txn_dt', 'total_floor', 'building_complete_dt', 'parking_area', 'parking_price', 'txn_floor',\n",
    "            'land_area', 'building_area', 'lat', 'lon', 'village_income_median', 'town_population', 'town_area',\n",
    "            'town_population_density', 'doc_rate', 'master_rate', 'bachelor_rate', 'jobschool_rate',\n",
    "            'highschool_rate', 'junior_rate', 'elementary_rate', 'born_rate', 'death_rate', 'marriage_rate',\n",
    "            'divorce_rate', 'N_50', 'N_500', 'N_1000', 'N_5000', 'N_10000', 'I_10', 'I_50', 'I_100', 'I_250',\n",
    "            'I_500', 'I_1000', 'I_5000', 'I_10000', 'I_MIN', 'II_10', 'II_50', 'II_100', 'II_250', 'II_500',\n",
    "            'II_1000', 'II_5000', 'II_10000', 'II_MIN', 'III_10', 'III_50', 'III_100', 'III_250', 'III_500',\n",
    "            'III_1000', 'III_5000', 'III_10000', 'III_MIN', 'IV_10', 'IV_50', 'IV_100', 'IV_250', 'IV_500',\n",
    "            'IV_1000', 'IV_5000', 'IV_10000', 'IV_MIN', 'V_10', 'V_50', 'V_100', 'V_250', 'V_500', 'V_1000',\n",
    "            'V_5000', 'V_10000', 'V_MIN', 'VI_50', 'VI_100', 'VI_250', 'VI_500', 'VI_1000', 'VI_5000', 'VI_10000',\n",
    "            'VI_MIN', 'VII_10', 'VII_50', 'VII_100', 'VII_250', 'VII_500', 'VII_1000', 'VII_5000', 'VII_10000',\n",
    "            'VII_MIN', 'VIII_10', 'VIII_50', 'VIII_100', 'VIII_250', 'VIII_500', 'VIII_1000', 'VIII_5000',\n",
    "            'VIII_10000', 'VIII_MIN', 'IX_10', 'IX_50', 'IX_100', 'IX_250', 'IX_500', 'IX_1000', 'IX_5000',\n",
    "            'IX_10000', 'IX_MIN', 'X_10', 'X_50', 'X_100', 'X_250', 'X_500', 'X_1000', 'X_5000', 'X_10000', 'X_MIN',\n",
    "            'XI_10', 'XI_50', 'XI_100', 'XI_250', 'XI_500', 'XI_1000', 'XI_5000', 'XI_10000', 'XI_MIN', 'XII_10',\n",
    "            'XII_50', 'XII_100', 'XII_250', 'XII_500', 'XII_1000', 'XII_5000', 'XII_10000', 'XII_MIN', 'XIII_10',\n",
    "            'XIII_50', 'XIII_100', 'XIII_250', 'XIII_500', 'XIII_1000', 'XIII_5000', 'XIII_10000', 'XIII_MIN',\n",
    "            'XIV_10', 'XIV_50', 'XIV_100', 'XIV_250', 'XIV_500', 'XIV_1000', 'XIV_5000', 'XIV_10000', 'XIV_MIN']\n",
    "cols_cat = ['building_material', 'city', 'building_type', 'building_use', 'parking_way', 'town', 'village',\n",
    "            'I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']\n",
    "cols_feats = cols_num + cols_cat\n",
    "\n",
    "# informational cols\n",
    "cols_dt = ['txn_dt', 'building_complete_dt']\n",
    "cols_bin = ['I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>building_material</th>\n",
       "      <th>city</th>\n",
       "      <th>txn_dt</th>\n",
       "      <th>total_floor</th>\n",
       "      <th>building_type</th>\n",
       "      <th>building_use</th>\n",
       "      <th>building_complete_dt</th>\n",
       "      <th>parking_way</th>\n",
       "      <th>parking_area</th>\n",
       "      <th>...</th>\n",
       "      <th>XIV_500</th>\n",
       "      <th>XIV_index_500</th>\n",
       "      <th>XIV_1000</th>\n",
       "      <th>XIV_index_1000</th>\n",
       "      <th>XIV_5000</th>\n",
       "      <th>XIV_index_5000</th>\n",
       "      <th>XIV_10000</th>\n",
       "      <th>XIV_index_10000</th>\n",
       "      <th>XIV_MIN</th>\n",
       "      <th>total_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e3mMIMR3JJqCaXz1</td>\n",
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       "      <td>6271</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>157</td>\n",
       "      <td>1</td>\n",
       "      <td>2483</td>\n",
       "      <td>1</td>\n",
       "      <td>6011</td>\n",
       "      <td>1</td>\n",
       "      <td>34.469802848528126</td>\n",
       "      <td>647603.7704719775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LgwzgklNvy4QCtq5</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>18800</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7885</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>115</td>\n",
       "      <td>1</td>\n",
       "      <td>15872</td>\n",
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       "      <td>32221</td>\n",
       "      <td>1</td>\n",
       "      <td>40.07357348973039</td>\n",
       "      <td>3321452.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ucIR2NLLsC3T650L</td>\n",
       "      <td>8</td>\n",
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       "      <td>19289</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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       "      <td>6028</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>212</td>\n",
       "      <td>1</td>\n",
       "      <td>15760</td>\n",
       "      <td>1</td>\n",
       "      <td>32228</td>\n",
       "      <td>1</td>\n",
       "      <td>54.46208108983661</td>\n",
       "      <td>9570885.316206373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>jre1pJhcQj91Kdky</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>20385</td>\n",
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       "      <td>2</td>\n",
       "      <td>18325</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "      <td>1</td>\n",
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       "      <td>14215011.127100045</td>\n",
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       "    <tr>\n",
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       "      <td>rQpYpY9nRG7X5mmr</td>\n",
       "      <td>1</td>\n",
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       "      <td>20657</td>\n",
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       "      <td>2</td>\n",
       "      <td>6880</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "      <td>2587</td>\n",
       "      <td>1</td>\n",
       "      <td>7442</td>\n",
       "      <td>1</td>\n",
       "      <td>124.1312362968124</td>\n",
       "      <td>762711.9757135696</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id building_material city txn_dt total_floor building_type  \\\n",
       "0  e3mMIMR3JJqCaXz1                 8   21  18674           4             3   \n",
       "1  LgwzgklNvy4QCtq5                 8    7  18800           5             1   \n",
       "2  ucIR2NLLsC3T650L                 8    7  19289           4             1   \n",
       "3  jre1pJhcQj91Kdky                 8   21  20385          24             0   \n",
       "4  rQpYpY9nRG7X5mmr                 1   21  20657           2             4   \n",
       "\n",
       "  building_use building_complete_dt parking_way parking_area  ... XIV_500  \\\n",
       "0            2                 6271           2          NaN  ...      58   \n",
       "1            2                 7885           2          NaN  ...      28   \n",
       "2            2                 6028           2          NaN  ...      78   \n",
       "3            2                18325           0          NaN  ...      20   \n",
       "4            2                 6880           2          NaN  ...      18   \n",
       "\n",
       "  XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000 XIV_index_5000 XIV_10000  \\\n",
       "0             1      157              1     2483              1      6011   \n",
       "1             1      115              1    15872              1     32221   \n",
       "2             1      212              1    15760              1     32228   \n",
       "3             1      125              1     2568              1      7271   \n",
       "4             1       47              1     2587              1      7442   \n",
       "\n",
       "  XIV_index_10000             XIV_MIN         total_price  \n",
       "0               1  34.469802848528126   647603.7704719775  \n",
       "1               1   40.07357348973039           3321452.0  \n",
       "2               1   54.46208108983661   9570885.316206373  \n",
       "3               1   99.62896580763416  14215011.127100045  \n",
       "4               1   124.1312362968124   762711.9757135696  \n",
       "\n",
       "[5 rows x 235 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>building_material</th>\n",
       "      <th>city</th>\n",
       "      <th>txn_dt</th>\n",
       "      <th>total_floor</th>\n",
       "      <th>building_type</th>\n",
       "      <th>building_use</th>\n",
       "      <th>building_complete_dt</th>\n",
       "      <th>parking_way</th>\n",
       "      <th>parking_area</th>\n",
       "      <th>...</th>\n",
       "      <th>XIV_250</th>\n",
       "      <th>XIV_500</th>\n",
       "      <th>XIV_index_500</th>\n",
       "      <th>XIV_1000</th>\n",
       "      <th>XIV_index_1000</th>\n",
       "      <th>XIV_5000</th>\n",
       "      <th>XIV_index_5000</th>\n",
       "      <th>XIV_10000</th>\n",
       "      <th>XIV_index_10000</th>\n",
       "      <th>XIV_MIN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>18634</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1857</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>3991</td>\n",
       "      <td>1</td>\n",
       "      <td>8409</td>\n",
       "      <td>1</td>\n",
       "      <td>105.4622312795739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>20199</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>16011</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>67</td>\n",
       "      <td>1</td>\n",
       "      <td>1950</td>\n",
       "      <td>1</td>\n",
       "      <td>10725</td>\n",
       "      <td>1</td>\n",
       "      <td>100.81980868401074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>19769</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>18294</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>3707</td>\n",
       "      <td>1</td>\n",
       "      <td>19459</td>\n",
       "      <td>1</td>\n",
       "      <td>259.8005430183116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>20479</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>17837</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>6487</td>\n",
       "      <td>1</td>\n",
       "      <td>29400</td>\n",
       "      <td>1</td>\n",
       "      <td>22.941906168328487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>18164</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>13272</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>1346</td>\n",
       "      <td>1</td>\n",
       "      <td>3280</td>\n",
       "      <td>1</td>\n",
       "      <td>181.21309507601745</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 234 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id building_material city txn_dt total_floor building_type  \\\n",
       "0  X5gsdTWGS3W7JJQB                 1   13  18634           2             4   \n",
       "1  BTshNOJyKHnT2YIT                 8    7  20199          10             3   \n",
       "2  dhdymr0lV8N5kZOT                 8   12  19769           4             4   \n",
       "3  VEwyGGMcD56w5BOc                10    7  20479          19             2   \n",
       "4  wmUeMoJZfsqaSX9b                 8    3  18164          13             0   \n",
       "\n",
       "  building_use building_complete_dt parking_way parking_area  ... XIV_250  \\\n",
       "0            2                 1857           2          NaN  ...       7   \n",
       "1            2                16011           2          NaN  ...      18   \n",
       "2           10                18294           2          NaN  ...       0   \n",
       "3            0                17837           2          NaN  ...      16   \n",
       "4            2                13272           2          NaN  ...       4   \n",
       "\n",
       "  XIV_500 XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000 XIV_index_5000  \\\n",
       "0      21             1      129              1     3991              1   \n",
       "1      44             1       67              1     1950              1   \n",
       "2       3             1       35              1     3707              1   \n",
       "3      60             1      144              1     6487              1   \n",
       "4      18             1       76              1     1346              1   \n",
       "\n",
       "  XIV_10000 XIV_index_10000             XIV_MIN  \n",
       "0      8409               1   105.4622312795739  \n",
       "1     10725               1  100.81980868401074  \n",
       "2     19459               1   259.8005430183116  \n",
       "3     29400               1  22.941906168328487  \n",
       "4      3280               1  181.21309507601745  \n",
       "\n",
       "[5 rows x 234 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train = pd.read_csv('dataset/train.csv', dtype=object)\n",
    "test = pd.read_csv('dataset/test.csv', dtype=object)\n",
    "display(train.head(5))\n",
    "display(test.head(5))\n",
    "\n",
    "id_cv = []\n",
    "for i in range(5):\n",
    "    id_one_fold = pd.read_csv(f'dataset/id_cv{i}.csv', dtype=object)['building_id']\n",
    "    id_cv.append(id_one_fold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "N outliers removed: 1800\n"
     ]
    }
   ],
   "source": [
    "# Only train on data in this list\n",
    "if rm_outlier:\n",
    "    training_buildings = pd.read_csv('dataset/building_we_care_%d.csv'%outlier_pct)\n",
    "    print('N outliers removed:', len(train) - len(training_buildings))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/skyhuang/.local/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator KMeans from version 0.20.3 when using version 0.21.2. This might lead to breaking code or invalid results. Use at your own risk.\n",
      "  UserWarning)\n",
      "/home/skyhuang/.local/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator KMeans from version 0.20.3 when using version 0.21.2. This might lead to breaking code or invalid results. Use at your own risk.\n",
      "  UserWarning)\n"
     ]
    }
   ],
   "source": [
    "train = pre_processing(train, cols_num, cols_cat)\n",
    "test = pre_processing(test, cols_num, cols_cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = cols_num + [c for c in cols_num_add if c not in cols_num]\n",
    "cols_cat = cols_cat + [c for c in cols_cat_add if c not in cols_cat]\n",
    "cols_feats = cols_num + cols_cat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove feats based on shuffle results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 'divorce_rate' 5709.20035 3.333296666667593]\n",
      " [1 'I_250' 5709.200316666666 3.333263333333889]\n",
      " [2 'XI_100' 5708.200346666667 2.33329333333495]\n",
      " [3 'VI_index_500' 5707.867050000001 1.9999966666682667]\n",
      " [4 'IX_index_50' 5707.86704 1.9999866666676098]\n",
      " [5 'VI_500' 5707.866983333333 1.9999300000008589]\n",
      " [6 'XIV_10' 5707.533710000001 1.666656666668132]\n",
      " [7 'XI_index_500' 5707.200386666666 1.3333333333339397]\n",
      " [8 'VI_index_1000' 5707.200383333334 1.3333300000012969]\n",
      " [9 'V_100' 5707.200373333333 1.33332000000064]\n",
      " [10 'VII_10' 5707.200363333334 1.333310000001802]\n",
      " [11 'X_100' 5707.200336666666 1.3332833333333838]\n",
      " [12 'XII_index_50' 5706.867056666667 1.0000033333344618]\n",
      " [15 'X_index_500' 5706.867050000001 0.9999966666682667]\n",
      " [14 'X_10' 5706.867050000001 0.9999966666682667]\n",
      " [13 'II_10' 5706.867050000001 0.9999966666682667]\n",
      " [16 'II_index_500' 5706.867046666666 0.9999933333338049]\n",
      " [17 'V_index_1000' 5706.867046666666 0.9999933333338049]\n",
      " [18 'XIII_10' 5706.867043333335 0.9999900000020716]\n",
      " [19 'XIV_index_50' 5706.867043333335 0.9999900000020716]\n",
      " [20 'VIII_index_500' 5706.86704 0.9999866666676098]\n",
      " [21 'IX_50' 5706.867016666667 0.9999633333345628]\n",
      " [22 'XI_index_1000' 5706.533726666666 0.6666733333331649]\n",
      " [23 'XI_10' 5706.533719999999 0.6666666666669698]\n",
      " [24 'II_index_1000' 5706.533719999999 0.6666666666669698]\n",
      " [25 'VII_index_500' 5706.533719999999 0.6666666666669698]\n",
      " [26 'X_index_1000' 5706.533719999999 0.6666666666669698]\n",
      " [30 'XIII_index_1000' 5706.533716666668 0.6666633333352365]\n",
      " [31 'XIV_index_500' 5706.533716666668 0.6666633333352365]\n",
      " [27 'VI_100' 5706.533716666668 0.6666633333352365]\n",
      " [29 'IX_index_500' 5706.533716666668 0.6666633333352365]\n",
      " [28 'I_index_1000' 5706.533716666668 0.6666633333352365]\n",
      " [32 'XIII_index_500' 5706.533713333333 0.6666600000007747]\n",
      " [33 'V_10' 5706.533706666666 0.6666533333336702]\n",
      " [34 'VII_index_50' 5706.533706666666 0.6666533333336702]\n",
      " [35 'I_500' 5706.533573333333 0.6665200000006735]\n",
      " [36 'IV_index_50' 5706.200386666666 0.33333333333393966]\n",
      " [37 'V_index_500' 5706.200386666666 0.33333333333393966]\n",
      " [38 'VI_index_50' 5706.200386666666 0.33333333333393966]\n",
      " [39 'XIII_index_5000' 5706.200386666666 0.33333333333393966]\n",
      " [40 'VI_50' 5706.200383333334 0.33333000000129687]\n",
      " [41 'III_index_1000' 5706.200383333334 0.33333000000129687]\n",
      " [44 'I_index_50' 5706.200379999999 0.3333266666668351]\n",
      " [42 'I_50' 5706.200379999999 0.3333266666668351]\n",
      " [43 'IV_50' 5706.200379999999 0.3333266666668351]\n",
      " [45 'III_index_50' 5706.200370000001 0.3333166666689067]\n",
      " [46 'VI_250' 5706.200366666667 0.3333133333344449]\n",
      " [47 'XI_index_50' 5706.200366666667 0.3333133333344449]\n",
      " [48 'VI_1000' 5706.200263333333 0.33321000000069034]\n",
      " [49 'XII_index_500' 5705.867056666667 3.333334461785853e-06]\n",
      " [59 'XIV_index_1000' 5705.8670533333325 0.0]\n",
      " [58 'XIII_index_50' 5705.8670533333325 0.0]\n",
      " [57 'XII_index_1000' 5705.8670533333325 0.0]\n",
      " [55 'IX_index_5000' 5705.8670533333325 0.0]\n",
      " [56 'XI_index_10000' 5705.8670533333325 0.0]\n",
      " [53 'VI_10' 5705.8670533333325 0.0]\n",
      " [54 'VII_index_1000' 5705.8670533333325 0.0]\n",
      " [52 'IV_index_5000' 5705.8670533333325 0.0]\n",
      " [51 'I_10' 5705.8670533333325 0.0]\n",
      " [50 'none' 5705.8670533333325 0.0]\n",
      " [60 'VIII_index_1000' 5705.867050000001 -3.3333317333017476e-06]\n",
      " [61 'XI_index_5000' 5705.867050000001 -3.3333317333017476e-06]\n",
      " [62 'I_index_500' 5705.86704 -1.3333332390175201e-05]\n",
      " [63 'II_index_50' 5705.86704 -1.3333332390175201e-05]\n",
      " [64 'IX_index_1000' 5705.867036666667 -1.666666503297165e-05]\n",
      " [65 'I_100' 5705.86703 -2.3333332137553953e-05]\n",
      " [66 'II_50' 5705.8670133333335 -3.9999998989515007e-05]\n",
      " [67 'N_500' 5705.866976666667 -7.666666533623356e-05]\n",
      " [68 'N_5000' 5705.533719999999 -0.33333333333303017]\n",
      " [69 'IX_10' 5705.533713333333 -0.33333999999922526]\n",
      " [70 'IV_index_1000' 5705.533713333333 -0.33333999999922526]\n",
      " [71 'X_index_50' 5705.533713333333 -0.33333999999922526]\n",
      " [72 'IV_10' 5705.533710000001 -0.33334333333186805]\n",
      " [73 'XIII_index_10000' 5705.533710000001 -0.33334333333186805]\n",
      " [74 'XII_10' 5705.533630000001 -0.33342333333166607]\n",
      " [75 'III_10' 5705.200383333334 -0.6666699999987031]\n",
      " [76 'X_50' 5705.200370000001 -0.6666833333310933]\n",
      " [77 'IV_index_500' 5705.200370000001 -0.6666833333310933]\n",
      " [78 'VIII_index_50' 5705.200363333334 -0.6666899999981979]\n",
      " [79 'XI_50' 5705.20035 -0.666703333332407]\n",
      " [80 'N_10000' 5705.200326666666 -0.6667266666663636]\n",
      " [81 'V_index_50' 5704.867036666667 -1.000016666665033]\n",
      " [82 'X_500' 5704.86689 -1.0001633333322388]\n",
      " [83 'X_250' 5704.866873333333 -1.0001799999990908]\n",
      " [84 'III_index_500' 5704.533719999999 -1.3333333333330302]\n",
      " [85 'XIII_50' 5704.533710000001 -1.333343333331868]\n",
      " [86 'XIII_100' 5704.533710000001 -1.333343333331868]\n",
      " [87 'V_50' 5704.200356666667 -1.6666966666653025]\n",
      " [88 'IX_100' 5704.2002600000005 -1.6667933333319525]\n",
      " [89 'XIV_250' 5704.200026666666 -1.667026666666061]\n",
      " [90 'IV_100' 5703.867026666667 -2.00002666666569]\n",
      " [91 'IV_250' 5703.866953333333 -2.0000999999992928]\n",
      " [92 'III_100' 5703.533653333333 -2.3333999999995285]\n",
      " [93 'XIV_100' 5703.533503333333 -2.333549999999377]\n",
      " [94 'XIII_250' 5703.200316666666 -2.666736666666111]\n",
      " [95 'XI_250' 5703.200193333333 -2.6668599999993603]\n",
      " [96 'VIII_10' 5702.866996666667 -3.0000566666658415]\n",
      " [97 'IX_250' 5702.200013333334 -3.667039999998451]\n",
      " [98 'IV_500' 5701.866936666666 -4.000116666666145]\n",
      " [99 'IX_5000' 5701.533173333333 -4.333879999999226]\n",
      " [100 'XII_100' 5701.2001666666665 -4.66688666666596]\n",
      " [101 'II_100' 5700.866966666667 -5.000086666665084]\n",
      " [102 'N_1000' 5700.866936666666 -5.000116666666145]\n",
      " [103 'born_rate' 5700.86682 -5.0002333333322895]\n",
      " [104 'junior_rate' 5700.5335000000005 -5.33355333333202]\n",
      " [105 'VIII_50' 5700.533383333334 -5.333669999998165]\n",
      " [106 'marriage_rate' 5700.533316666667 -5.333736666665573]\n",
      " [107 'XIV_50' 5699.533613333333 -6.3334399999994275]\n",
      " [108 'VII_50' 5699.533456666667 -6.333596666665471]\n",
      " [109 'IV_1000' 5699.199853333333 -6.667199999999866]\n",
      " [110 'II_250' 5698.53337 -7.333683333332374]\n",
      " [111 'XIII_500' 5698.200293333332 -7.6667600000000675]\n",
      " [112 'III_50' 5698.200069999999 -7.666983333333519]\n",
      " [113 'II_10000' 5698.199886666666 -7.667166666666162]\n",
      " [114 'IV_5000' 5697.866536666667 -8.000516666665135]\n",
      " [115 'XIII_1000' 5697.533463333333 -8.333589999999276]\n",
      " [116 'III_250' 5697.200150000001 -8.666903333331902]\n",
      " [117 'VIII_100' 5696.866476666667 -9.000576666665438]\n",
      " [118 'XII_50' 5696.200313333335 -9.666739999997844]\n",
      " [119 'N_50' 5696.19989 -9.66716333333261]\n",
      " [120 'VIII_5000' 5695.533113333334 -10.33393999999862]\n",
      " [121 'I_1000' 5694.866853333333 -11.000199999999495]\n",
      " [122 'VI_MIN' 5694.866663333334 -11.000389999998333]\n",
      " [123 'XIV_500' 5694.866446666667 -11.00060666666559]\n",
      " [124 'VII_100' 5694.53343 -11.33362333333207]\n",
      " [125 'XI_500' 5693.8668800000005 -12.000173333331986]\n",
      " [126 'IV_10000' 5693.532886666667 -12.334166666665624]\n",
      " [127 'V_MIN' 5692.86606 -13.00099333333219]\n",
      " [128 'death_rate' 5692.5331633333335 -13.333889999998974]\n",
      " [129 'VIII_10000' 5692.199853333333 -13.667199999999866]\n",
      " [130 'XIII_MIN' 5691.533060000001 -14.333993333331819]\n",
      " [131 'V_500' 5690.199906666668 -15.667146666664848]\n",
      " [132 'I_MIN' 5690.19978 -15.66727333333256]\n",
      " [133 'V_250' 5689.200093333333 -16.666959999999563]\n",
      " [134 'IV_MIN' 5689.1995566666665 -16.66749666666601]\n",
      " [135 'III_500' 5688.866743333333 -17.000309999999445]\n",
      " [136 'IX_500' 5688.86639 -17.00066333333234]\n",
      " [137 'XI_5000' 5688.533226666666 -17.333826666666027]\n",
      " [138 'XII_250' 5688.533106666667 -17.333946666665724]\n",
      " [139 'III_1000' 5687.866279999999 -18.0007733333332]\n",
      " [140 'XI_MIN' 5687.532873333334 -18.334179999998923]\n",
      " [141 'X_10000' 5687.532800000001 -18.334253333331617]\n",
      " [142 'II_500' 5686.532996666666 -19.334056666666584]\n",
      " [143 'III_5000' 5684.866556666667 -21.00049666666564]\n",
      " [144 'V_1000' 5683.866256666667 -22.000796666665337]\n",
      " [145 'III_10000' 5683.5324900000005 -22.33456333333197]\n",
      " [146 'VII_MIN' 5683.199209999999 -22.66784333333362]\n",
      " [147 'XII_500' 5683.199173333334 -22.66787999999815]\n",
      " [148 'III_MIN' 5682.532556666666 -23.334496666666382]\n",
      " [149 'VIII_250' 5681.86623 -24.000823333332846]\n",
      " [150 'XIV_1000' 5680.866440000001 -25.000613333331785]\n",
      " [151 'town_area' 5680.533066666667 -25.333986666665623]\n",
      " [152 'XIV_MIN' 5680.19969 -25.667363333332105]\n",
      " [153 'II_MIN' 5677.53274 -28.33431333333283]\n",
      " [154 'XII_5000' 5676.8655733333335 -29.001479999998992]\n",
      " [155 'building_material' 5676.865563333333 -29.00148999999965]\n",
      " [156 'X_1000' 5675.865993333333 -30.001059999999597]\n",
      " [157 'I_5000' 5675.532426666668 -30.334626666664917]\n",
      " [158 'XI_10000' 5675.199393333333 -30.66765999999916]\n",
      " [159 'XII_10000' 5674.865669999999 -31.00138333333325]\n",
      " [160 'elementary_rate' 5674.532066666667 -31.334986666665827]\n",
      " [161 'town_population_density' 5674.199496666667 -31.667556666665405]\n",
      " [162 'IX_MIN' 5673.5324900000005 -32.33456333333197]\n",
      " [163 'XII_MIN' 5672.199463333333 -33.66758999999911]\n",
      " [164 'X_MIN' 5672.199316666666 -33.667736666666315]\n",
      " [165 'VII_250' 5671.865873333333 -34.001179999999295]\n",
      " [166 'XIV_10000' 5669.865906666667 -36.00114666666559]\n",
      " [167 'X_5000' 5669.865403333333 -36.001649999999245]\n",
      " [168 'parking_area' 5665.866163333333 -40.000889999999345]\n",
      " [169 'IX_10000' 5665.53269 -40.334363333332476]\n",
      " [170 'highschool_rate' 5664.532736666667 -41.33431666666547]\n",
      " [171 'II_5000' 5662.532619999999 -43.334433333333436]\n",
      " [172 'V_5000' 5661.19843 -44.66862333333211]\n",
      " [173 'VIII_MIN' 5660.532049999999 -45.33500333333359]\n",
      " [174 'VIII_500' 5658.531816666667 -47.33523666666588]\n",
      " [175 'VIII_1000' 5657.86419 -48.00286333333224]\n",
      " [176 'I_10000' 5655.531346666667 -50.33570666666583]\n",
      " [177 'building_use' 5652.19898 -53.66807333333236]\n",
      " [178 'XII_1000' 5644.19792 -61.669133333332866]\n",
      " [179 'VI_5000' 5641.86575 -64.00130333333254]\n",
      " [180 'lat' 5637.531133333333 -68.33591999999953]\n",
      " [181 'VII_5000' 5631.530966666666 -74.33608666666623]\n",
      " [182 'VII_500' 5629.531536666666 -76.33551666666608]\n",
      " [183 'town_population' 5626.198586666666 -79.66846666666606]\n",
      " [184 'city' 5624.864426666667 -81.00262666666549]\n",
      " [185 'II_1000' 5618.53164 -87.33541333333233]\n",
      " [186 'IX_1000' 5609.530946666667 -96.33610666666573]\n",
      " [187 'XI_1000' 5600.864693333333 -105.0023599999995]\n",
      " [188 'jobschool_rate' 5577.52952 -128.33753333333243]\n",
      " [189 'bachelor_rate' 5564.530006666667 -141.33704666666563]\n",
      " [190 'XIV_5000' 5544.529993333334 -161.33705999999893]\n",
      " [191 'V_10000' 5527.5279433333335 -178.33910999999898]\n",
      " [192 'VII_1000' 5483.195199999999 -222.67185333333327]\n",
      " [193 'parking_way' 5481.528866666667 -224.33818666666502]\n",
      " [194 'XIII_5000' 5403.193223333333 -302.6738299999997]\n",
      " [195 'lon' 5361.52429 -344.3427633333322]\n",
      " [196 'parking_price' 5360.190783333333 -345.67626999999993]\n",
      " [197 'master_rate' 5210.856313333333 -495.0107399999997]\n",
      " [198 'building_type' 5193.523143333333 -512.3439099999996]\n",
      " [199 'village_income_median' 5009.84994 -696.0171133333324]\n",
      " [200 'total_floor' 4984.18339 -721.6836633333323]\n",
      " [201 'building_area' 4936.506333333334 -769.3607199999988]\n",
      " [202 'doc_rate' 4886.513366666666 -819.3536866666664]\n",
      " [203 'village' 4852.180716666666 -853.6863366666666]\n",
      " [204 'VII_10000' 4688.84273 -1017.0243233333322]\n",
      " [205 'land_area' 4551.80975 -1154.0573033333321]\n",
      " [206 'VI_10000' 4376.823850000001 -1329.0432033333318]\n",
      " [207 'txn_floor' 4149.4685 -1556.3985533333325]\n",
      " [208 'txn_dt' 3962.7975066666663 -1743.0695466666662]\n",
      " [209 'building_complete_dt' 3433.7606266666667 -2272.106426666666]\n",
      " [210 'XIII_10000' 2914.651653333333 -2791.2153999999996]\n",
      " [211 'town' 2516.730063333333 -3189.1369899999995]]\n",
      "70\n",
      "['divorce_rate', 'I_250', 'XI_100', 'VI_index_500', 'IX_index_50', 'VI_500', 'XIV_10', 'XI_index_500', 'VI_index_1000', 'V_100', 'VII_10', 'X_100', 'XII_index_50', 'X_index_500', 'X_10', 'II_10', 'II_index_500', 'V_index_1000', 'XIII_10', 'XIV_index_50', 'VIII_index_500', 'IX_50', 'XI_index_1000', 'XI_10', 'II_index_1000', 'VII_index_500', 'X_index_1000', 'XIII_index_1000', 'XIV_index_500', 'VI_100', 'IX_index_500', 'I_index_1000', 'XIII_index_500', 'V_10', 'VII_index_50', 'I_500', 'IV_index_50', 'V_index_500', 'VI_index_50', 'XIII_index_5000', 'VI_50', 'III_index_1000', 'I_index_50', 'I_50', 'IV_50', 'III_index_50', 'VI_250', 'XI_index_50', 'VI_1000', 'XII_index_500', 'XIV_index_1000', 'XIII_index_50', 'XII_index_1000', 'IX_index_5000', 'XI_index_10000', 'VI_10', 'VII_index_1000', 'IV_index_5000', 'I_10', 'VIII_index_1000', 'XI_index_5000', 'I_index_500', 'II_index_50', 'IX_index_1000', 'I_100', 'II_50', 'N_500', 'N_5000', 'IX_10', 'IV_index_1000']\n",
      "N feats (before): 214\n",
      "N feats (after): 144\n",
      "['X_MIN', 'X_1000', 'marriage_rate', 'IX_5000', 'born_rate', 'XII_MIN', 'XIII_1000', 'XIV_10000', 'land_area', 'building_use', 'IV_MIN', 'jobschool_rate', 'VII_50', 'XIV_5000', 'V_1000', 'building_complete_dt', 'III_100', 'IV_10000', 'III_10000', 'highschool_rate', 'building_area', 'VIII_10000', 'VIII_500', 'VII_250', 'txn_dt', 'txn_floor', 'VII_10000', 'XII_250', 'IV_100', 'XI_50', 'XII_1000', 'VIII_5000', 'II_5000', 'XIII_100', 'III_250', 'building_type', 'IX_10000', 'V_index_50', 'IV_index_500', 'VIII_index_50', 'junior_rate', 'I_MIN', 'XI_MIN', 'XIII_MIN', 'IX_500', 'town_area', 'I_1000', 'VI_10000', 'VII_MIN', 'V_10000', 'IV_10', 'III_1000', 'IX_MIN', 'XIV_250', 'XIV_500', 'XIII_500', 'XII_5000', 'XIV_MIN', 'XIII_5000', 'II_10000', 'VIII_1000', 'XIV_1000', 'III_10', 'XII_500', 'village_income_median', 'III_index_500', 'V_500', 'X_10000', 'VII_1000', 'XII_10', 'X_5000', 'town_population_density', 'II_250', 'VIII_MIN', 'XIV_100', 'XII_100', 'XII_50', 'building_per_land_area', 'IX_1000', 'V_250', 'X_500', 'I_10000', 'parking_area', 'doc_rate', 'height_r', 'VII_500', 'parking_price', 'IV_250', 'V_50', 'XII_10000', 'IX_250', 'II_500', 'town_population', 'XI_250', 'IV_1000', 'XI_5000', 'N_10000', 'XIII_index_10000', 'II_MIN', 'VII_100', 'XIII_250', 'XI_500', 'total_floor', 'X_250', 'encoded_latlon', 'XIII_10000', 'bachelor_rate', 'V_5000', 'XI_10000', 'XI_1000', 'death_rate', 'I_5000', 'III_50', 'V_MIN', 'VIII_10', 'VIII_250', 'city', 'II_1000', 'IV_500', 'N_1000', 'VI_5000', 'III_5000', 'XIII_50', 'lon', 'lat', 'parking_way', 'III_MIN', 'town', 'VIII_100', 'X_index_50', 'VI_MIN', 'VII_5000', 'VIII_50', 'X_50', 'N_50', 'II_100', 'XIV_50', 'building_material', 'village', 'elementary_rate', 'III_500', 'IV_5000', 'IX_100', 'master_rate']\n"
     ]
    }
   ],
   "source": [
    "# PARS #\n",
    "N_feats_rm = 70\n",
    "# PARS #\n",
    "\n",
    "from vars_03 import score_base_per_area, shuffle_results_per_area\n",
    "\n",
    "feat_imp = pd.DataFrame({'feats': shuffle_results_per_area[:,0],\n",
    "                         'avg':shuffle_results_per_area[:,1]})\n",
    "feat_imp['diff'] = feat_imp['avg'] - score_base_per_area\n",
    "feat_imp = feat_imp.sort_values(by='diff', ascending=False)\n",
    "print(feat_imp.reset_index().values)\n",
    "\n",
    "feats_rm = list(feat_imp.iloc[:(N_feats_rm+1)]['feats'].values)\n",
    "feats_rm.remove('none')\n",
    "print(len(feats_rm))\n",
    "print(feats_rm)\n",
    "\n",
    "print('N feats (before):', len(cols_feats))\n",
    "cols_feats = list(set(cols_feats) - set(feats_rm))\n",
    "print('N feats (after):', len(cols_feats))\n",
    "print(cols_feats)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# params\n",
    "# parameters from model 10: 24, 300, 0.5, 10, 0.1, 0.0\n",
    "# parameters from model 5: 24, 258, 0.4, 6, 0.04, 0.02\n",
    "params = {'task': 'train',\n",
    "          'boosting_type': 'gbdt',\n",
    "          'objective': 'mse',\n",
    "          'metric': 'mape',\n",
    "          'learning_rate': 0.0008, # 0.001\n",
    "          'max_depth': 24,\n",
    "          'num_leaves': 279,           # may reduce in dim-reduction exp\n",
    "          'feature_fraction': 0.45,\n",
    "          'min_data_in_leaf': 8,\n",
    "          'lambda_l1': 0.07,\n",
    "          'lambda_l2': 0.01,\n",
    "          'seed': 444,\n",
    "         }\n",
    "\n",
    "lgb_other_params = {'num_boost_round': 1000000,  # expected to stop 250000\n",
    "                    'verbose_eval': 2000,\n",
    "                    'early_stopping_rounds': 1000,}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### kfold cross-predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.018511\n",
      "[4000]\tvalid_0's mape: 0.0121989\n",
      "[6000]\tvalid_0's mape: 0.0108863\n",
      "[8000]\tvalid_0's mape: 0.0103411\n",
      "[10000]\tvalid_0's mape: 0.0100332\n",
      "[12000]\tvalid_0's mape: 0.0098326\n",
      "[14000]\tvalid_0's mape: 0.0096904\n",
      "[16000]\tvalid_0's mape: 0.00958325\n",
      "[18000]\tvalid_0's mape: 0.00950089\n",
      "[20000]\tvalid_0's mape: 0.00943619\n",
      "[22000]\tvalid_0's mape: 0.00938344\n",
      "[24000]\tvalid_0's mape: 0.00934061\n",
      "[26000]\tvalid_0's mape: 0.00930358\n",
      "[28000]\tvalid_0's mape: 0.00927139\n",
      "[30000]\tvalid_0's mape: 0.0092436\n",
      "[32000]\tvalid_0's mape: 0.00921958\n",
      "[34000]\tvalid_0's mape: 0.00919783\n",
      "[36000]\tvalid_0's mape: 0.0091783\n",
      "[38000]\tvalid_0's mape: 0.00916107\n",
      "[40000]\tvalid_0's mape: 0.00914566\n",
      "[42000]\tvalid_0's mape: 0.00913178\n",
      "[44000]\tvalid_0's mape: 0.0091194\n",
      "[46000]\tvalid_0's mape: 0.00910816\n",
      "[48000]\tvalid_0's mape: 0.00909776\n",
      "[50000]\tvalid_0's mape: 0.00908834\n",
      "[52000]\tvalid_0's mape: 0.00907985\n",
      "[54000]\tvalid_0's mape: 0.00907216\n",
      "[56000]\tvalid_0's mape: 0.00906478\n",
      "[58000]\tvalid_0's mape: 0.00905825\n",
      "[60000]\tvalid_0's mape: 0.00905213\n",
      "[62000]\tvalid_0's mape: 0.00904667\n",
      "[64000]\tvalid_0's mape: 0.00904132\n",
      "[66000]\tvalid_0's mape: 0.00903651\n",
      "[68000]\tvalid_0's mape: 0.00903203\n",
      "[70000]\tvalid_0's mape: 0.00902764\n",
      "[72000]\tvalid_0's mape: 0.00902368\n",
      "[74000]\tvalid_0's mape: 0.00902001\n",
      "[76000]\tvalid_0's mape: 0.00901668\n",
      "[78000]\tvalid_0's mape: 0.00901336\n",
      "[80000]\tvalid_0's mape: 0.00901041\n",
      "[82000]\tvalid_0's mape: 0.0090075\n",
      "[84000]\tvalid_0's mape: 0.00900484\n",
      "[86000]\tvalid_0's mape: 0.00900232\n",
      "[88000]\tvalid_0's mape: 0.00899984\n",
      "[90000]\tvalid_0's mape: 0.00899772\n",
      "[92000]\tvalid_0's mape: 0.00899573\n",
      "[94000]\tvalid_0's mape: 0.00899374\n",
      "[96000]\tvalid_0's mape: 0.00899196\n",
      "[98000]\tvalid_0's mape: 0.00899025\n",
      "[100000]\tvalid_0's mape: 0.00898876\n",
      "[102000]\tvalid_0's mape: 0.00898719\n",
      "[104000]\tvalid_0's mape: 0.00898561\n",
      "[106000]\tvalid_0's mape: 0.00898411\n",
      "[108000]\tvalid_0's mape: 0.00898273\n",
      "[110000]\tvalid_0's mape: 0.00898148\n",
      "[112000]\tvalid_0's mape: 0.00898023\n",
      "[114000]\tvalid_0's mape: 0.00897907\n",
      "[116000]\tvalid_0's mape: 0.00897788\n",
      "[118000]\tvalid_0's mape: 0.00897673\n",
      "[120000]\tvalid_0's mape: 0.00897559\n",
      "[122000]\tvalid_0's mape: 0.00897464\n",
      "[124000]\tvalid_0's mape: 0.00897371\n",
      "[126000]\tvalid_0's mape: 0.00897289\n",
      "[128000]\tvalid_0's mape: 0.008972\n",
      "[130000]\tvalid_0's mape: 0.00897109\n",
      "[132000]\tvalid_0's mape: 0.00897037\n",
      "[134000]\tvalid_0's mape: 0.00896963\n",
      "[136000]\tvalid_0's mape: 0.00896897\n",
      "[138000]\tvalid_0's mape: 0.00896835\n",
      "[140000]\tvalid_0's mape: 0.00896765\n",
      "[142000]\tvalid_0's mape: 0.00896693\n",
      "[144000]\tvalid_0's mape: 0.00896629\n",
      "[146000]\tvalid_0's mape: 0.00896569\n",
      "[148000]\tvalid_0's mape: 0.00896514\n",
      "[150000]\tvalid_0's mape: 0.00896456\n",
      "[152000]\tvalid_0's mape: 0.00896404\n",
      "[154000]\tvalid_0's mape: 0.00896349\n",
      "[156000]\tvalid_0's mape: 0.00896301\n",
      "[158000]\tvalid_0's mape: 0.00896252\n",
      "[160000]\tvalid_0's mape: 0.00896214\n",
      "[162000]\tvalid_0's mape: 0.00896179\n",
      "[164000]\tvalid_0's mape: 0.00896139\n",
      "[166000]\tvalid_0's mape: 0.008961\n",
      "[168000]\tvalid_0's mape: 0.0089606\n",
      "[170000]\tvalid_0's mape: 0.00896022\n",
      "[172000]\tvalid_0's mape: 0.00895989\n",
      "[174000]\tvalid_0's mape: 0.00895958\n",
      "[176000]\tvalid_0's mape: 0.00895932\n",
      "[178000]\tvalid_0's mape: 0.00895904\n",
      "[180000]\tvalid_0's mape: 0.00895873\n",
      "[182000]\tvalid_0's mape: 0.00895845\n",
      "[184000]\tvalid_0's mape: 0.00895819\n",
      "[186000]\tvalid_0's mape: 0.0089579\n",
      "[188000]\tvalid_0's mape: 0.00895765\n",
      "[190000]\tvalid_0's mape: 0.00895737\n",
      "[192000]\tvalid_0's mape: 0.00895715\n",
      "[194000]\tvalid_0's mape: 0.0089569\n",
      "[196000]\tvalid_0's mape: 0.00895666\n",
      "[198000]\tvalid_0's mape: 0.00895644\n",
      "[200000]\tvalid_0's mape: 0.00895621\n",
      "[202000]\tvalid_0's mape: 0.00895601\n",
      "[204000]\tvalid_0's mape: 0.00895582\n",
      "[206000]\tvalid_0's mape: 0.00895564\n",
      "[208000]\tvalid_0's mape: 0.00895547\n",
      "[210000]\tvalid_0's mape: 0.00895531\n",
      "[212000]\tvalid_0's mape: 0.00895515\n",
      "[214000]\tvalid_0's mape: 0.00895499\n",
      "[216000]\tvalid_0's mape: 0.00895485\n",
      "[218000]\tvalid_0's mape: 0.00895469\n",
      "[220000]\tvalid_0's mape: 0.00895456\n",
      "[222000]\tvalid_0's mape: 0.00895444\n",
      "[224000]\tvalid_0's mape: 0.00895436\n",
      "Early stopping, best iteration is:\n",
      "[223754]\tvalid_0's mape: 0.00895436\n",
      "(Fold 0) score, mse, mae, mape: 5883.87746, 0.03545, 0.11913, 0.00895.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0186306\n",
      "[4000]\tvalid_0's mape: 0.0122816\n",
      "[6000]\tvalid_0's mape: 0.0109535\n",
      "[8000]\tvalid_0's mape: 0.0104128\n",
      "[10000]\tvalid_0's mape: 0.0101\n",
      "[12000]\tvalid_0's mape: 0.0098956\n",
      "[14000]\tvalid_0's mape: 0.00974659\n",
      "[16000]\tvalid_0's mape: 0.00963287\n",
      "[18000]\tvalid_0's mape: 0.00954493\n",
      "[20000]\tvalid_0's mape: 0.00947547\n",
      "[22000]\tvalid_0's mape: 0.00941878\n",
      "[24000]\tvalid_0's mape: 0.00937288\n",
      "[26000]\tvalid_0's mape: 0.00933468\n",
      "[28000]\tvalid_0's mape: 0.0093015\n",
      "[30000]\tvalid_0's mape: 0.00927323\n",
      "[32000]\tvalid_0's mape: 0.0092485\n",
      "[34000]\tvalid_0's mape: 0.0092265\n",
      "[36000]\tvalid_0's mape: 0.00920769\n",
      "[38000]\tvalid_0's mape: 0.00919124\n",
      "[40000]\tvalid_0's mape: 0.00917633\n",
      "[42000]\tvalid_0's mape: 0.00916274\n",
      "[44000]\tvalid_0's mape: 0.00915049\n",
      "[46000]\tvalid_0's mape: 0.00913919\n",
      "[48000]\tvalid_0's mape: 0.00912876\n",
      "[50000]\tvalid_0's mape: 0.00911949\n",
      "[52000]\tvalid_0's mape: 0.00911058\n",
      "[54000]\tvalid_0's mape: 0.00910278\n",
      "[56000]\tvalid_0's mape: 0.0090959\n",
      "[58000]\tvalid_0's mape: 0.00908949\n",
      "[60000]\tvalid_0's mape: 0.00908356\n",
      "[62000]\tvalid_0's mape: 0.00907795\n",
      "[64000]\tvalid_0's mape: 0.00907291\n",
      "[66000]\tvalid_0's mape: 0.00906828\n",
      "[68000]\tvalid_0's mape: 0.00906369\n",
      "[70000]\tvalid_0's mape: 0.00905952\n",
      "[72000]\tvalid_0's mape: 0.00905586\n",
      "[74000]\tvalid_0's mape: 0.00905221\n",
      "[76000]\tvalid_0's mape: 0.00904871\n",
      "[78000]\tvalid_0's mape: 0.00904549\n",
      "[80000]\tvalid_0's mape: 0.00904245\n",
      "[82000]\tvalid_0's mape: 0.00903948\n",
      "[84000]\tvalid_0's mape: 0.0090366\n",
      "[86000]\tvalid_0's mape: 0.00903379\n",
      "[88000]\tvalid_0's mape: 0.00903109\n",
      "[90000]\tvalid_0's mape: 0.00902884\n",
      "[92000]\tvalid_0's mape: 0.00902666\n",
      "[94000]\tvalid_0's mape: 0.0090245\n",
      "[96000]\tvalid_0's mape: 0.00902261\n",
      "[98000]\tvalid_0's mape: 0.00902085\n",
      "[100000]\tvalid_0's mape: 0.00901909\n",
      "[102000]\tvalid_0's mape: 0.00901717\n",
      "[104000]\tvalid_0's mape: 0.00901537\n",
      "[106000]\tvalid_0's mape: 0.00901382\n",
      "[108000]\tvalid_0's mape: 0.00901254\n",
      "[110000]\tvalid_0's mape: 0.00901139\n",
      "[112000]\tvalid_0's mape: 0.00901002\n",
      "[114000]\tvalid_0's mape: 0.00900882\n",
      "[116000]\tvalid_0's mape: 0.00900776\n",
      "[118000]\tvalid_0's mape: 0.00900665\n",
      "[120000]\tvalid_0's mape: 0.00900558\n",
      "[122000]\tvalid_0's mape: 0.00900459\n",
      "[124000]\tvalid_0's mape: 0.00900365\n",
      "[126000]\tvalid_0's mape: 0.00900284\n",
      "[128000]\tvalid_0's mape: 0.00900201\n",
      "[130000]\tvalid_0's mape: 0.00900126\n",
      "[132000]\tvalid_0's mape: 0.00900056\n",
      "[134000]\tvalid_0's mape: 0.00899985\n",
      "[136000]\tvalid_0's mape: 0.00899917\n",
      "[138000]\tvalid_0's mape: 0.00899856\n",
      "[140000]\tvalid_0's mape: 0.00899793\n",
      "[142000]\tvalid_0's mape: 0.0089974\n",
      "[144000]\tvalid_0's mape: 0.0089969\n",
      "[146000]\tvalid_0's mape: 0.00899637\n",
      "[148000]\tvalid_0's mape: 0.00899587\n",
      "[150000]\tvalid_0's mape: 0.00899541\n",
      "[152000]\tvalid_0's mape: 0.00899496\n",
      "[154000]\tvalid_0's mape: 0.00899451\n",
      "[156000]\tvalid_0's mape: 0.00899406\n",
      "[158000]\tvalid_0's mape: 0.00899368\n",
      "[160000]\tvalid_0's mape: 0.00899327\n",
      "[162000]\tvalid_0's mape: 0.00899287\n",
      "[164000]\tvalid_0's mape: 0.00899253\n",
      "[166000]\tvalid_0's mape: 0.0089922\n",
      "[168000]\tvalid_0's mape: 0.00899184\n",
      "[170000]\tvalid_0's mape: 0.00899145\n",
      "[172000]\tvalid_0's mape: 0.0089911\n",
      "[174000]\tvalid_0's mape: 0.00899076\n",
      "[176000]\tvalid_0's mape: 0.00899046\n",
      "[178000]\tvalid_0's mape: 0.0089902\n",
      "[180000]\tvalid_0's mape: 0.00898993\n",
      "[182000]\tvalid_0's mape: 0.00898962\n",
      "[184000]\tvalid_0's mape: 0.00898936\n",
      "[186000]\tvalid_0's mape: 0.00898912\n",
      "[188000]\tvalid_0's mape: 0.00898888\n",
      "[190000]\tvalid_0's mape: 0.00898865\n",
      "[192000]\tvalid_0's mape: 0.00898844\n",
      "[194000]\tvalid_0's mape: 0.00898826\n",
      "[196000]\tvalid_0's mape: 0.00898806\n",
      "[198000]\tvalid_0's mape: 0.00898787\n",
      "[200000]\tvalid_0's mape: 0.00898767\n",
      "[202000]\tvalid_0's mape: 0.0089875\n",
      "[204000]\tvalid_0's mape: 0.00898732\n",
      "[206000]\tvalid_0's mape: 0.00898717\n",
      "[208000]\tvalid_0's mape: 0.00898701\n",
      "[210000]\tvalid_0's mape: 0.00898685\n",
      "[212000]\tvalid_0's mape: 0.0089867\n",
      "[214000]\tvalid_0's mape: 0.00898655\n",
      "[216000]\tvalid_0's mape: 0.00898637\n",
      "[218000]\tvalid_0's mape: 0.00898626\n",
      "[220000]\tvalid_0's mape: 0.00898616\n",
      "[222000]\tvalid_0's mape: 0.00898603\n",
      "[224000]\tvalid_0's mape: 0.00898593\n",
      "[226000]\tvalid_0's mape: 0.00898589\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Early stopping, best iteration is:\n",
      "[225141]\tvalid_0's mape: 0.00898589\n",
      "(Fold 1) score, mse, mae, mape: 6042.87684, 0.03807, 0.11976, 0.00898.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0184176\n",
      "[4000]\tvalid_0's mape: 0.0121425\n",
      "[6000]\tvalid_0's mape: 0.0108603\n",
      "[8000]\tvalid_0's mape: 0.0103512\n",
      "[10000]\tvalid_0's mape: 0.0100605\n",
      "[12000]\tvalid_0's mape: 0.00987017\n",
      "[14000]\tvalid_0's mape: 0.00973095\n",
      "[16000]\tvalid_0's mape: 0.00962466\n",
      "[18000]\tvalid_0's mape: 0.00954216\n",
      "[20000]\tvalid_0's mape: 0.00947736\n",
      "[22000]\tvalid_0's mape: 0.00942543\n",
      "[24000]\tvalid_0's mape: 0.00938175\n",
      "[26000]\tvalid_0's mape: 0.009345\n",
      "[28000]\tvalid_0's mape: 0.0093131\n",
      "[30000]\tvalid_0's mape: 0.00928563\n",
      "[32000]\tvalid_0's mape: 0.00926138\n",
      "[34000]\tvalid_0's mape: 0.00924043\n",
      "[36000]\tvalid_0's mape: 0.0092216\n",
      "[38000]\tvalid_0's mape: 0.00920477\n",
      "[40000]\tvalid_0's mape: 0.00919014\n",
      "[42000]\tvalid_0's mape: 0.00917674\n",
      "[44000]\tvalid_0's mape: 0.00916456\n",
      "[46000]\tvalid_0's mape: 0.00915349\n",
      "[48000]\tvalid_0's mape: 0.00914365\n",
      "[50000]\tvalid_0's mape: 0.00913421\n",
      "[52000]\tvalid_0's mape: 0.00912591\n",
      "[54000]\tvalid_0's mape: 0.00911844\n",
      "[56000]\tvalid_0's mape: 0.00911125\n",
      "[58000]\tvalid_0's mape: 0.00910458\n",
      "[60000]\tvalid_0's mape: 0.00909879\n",
      "[62000]\tvalid_0's mape: 0.00909306\n",
      "[64000]\tvalid_0's mape: 0.00908796\n",
      "[66000]\tvalid_0's mape: 0.00908317\n",
      "[68000]\tvalid_0's mape: 0.00907884\n",
      "[70000]\tvalid_0's mape: 0.00907474\n",
      "[72000]\tvalid_0's mape: 0.00907091\n",
      "[74000]\tvalid_0's mape: 0.00906727\n",
      "[76000]\tvalid_0's mape: 0.00906386\n",
      "[78000]\tvalid_0's mape: 0.00906098\n",
      "[80000]\tvalid_0's mape: 0.0090583\n",
      "[82000]\tvalid_0's mape: 0.0090555\n",
      "[84000]\tvalid_0's mape: 0.00905292\n",
      "[86000]\tvalid_0's mape: 0.00905024\n",
      "[88000]\tvalid_0's mape: 0.00904823\n",
      "[90000]\tvalid_0's mape: 0.00904589\n",
      "[92000]\tvalid_0's mape: 0.00904357\n",
      "[94000]\tvalid_0's mape: 0.00904164\n",
      "[96000]\tvalid_0's mape: 0.00903974\n",
      "[98000]\tvalid_0's mape: 0.00903796\n",
      "[100000]\tvalid_0's mape: 0.00903639\n",
      "[102000]\tvalid_0's mape: 0.00903501\n",
      "[104000]\tvalid_0's mape: 0.00903371\n",
      "[106000]\tvalid_0's mape: 0.00903195\n",
      "[108000]\tvalid_0's mape: 0.00903065\n",
      "[110000]\tvalid_0's mape: 0.00902942\n",
      "[112000]\tvalid_0's mape: 0.00902822\n",
      "[114000]\tvalid_0's mape: 0.00902704\n",
      "[116000]\tvalid_0's mape: 0.00902595\n",
      "[118000]\tvalid_0's mape: 0.00902498\n",
      "[120000]\tvalid_0's mape: 0.00902411\n",
      "[122000]\tvalid_0's mape: 0.0090232\n",
      "[124000]\tvalid_0's mape: 0.00902224\n",
      "[126000]\tvalid_0's mape: 0.0090213\n",
      "[128000]\tvalid_0's mape: 0.00902048\n",
      "[130000]\tvalid_0's mape: 0.00901975\n",
      "[132000]\tvalid_0's mape: 0.00901901\n",
      "[134000]\tvalid_0's mape: 0.00901833\n",
      "[136000]\tvalid_0's mape: 0.00901769\n",
      "[138000]\tvalid_0's mape: 0.00901709\n",
      "[140000]\tvalid_0's mape: 0.00901653\n",
      "[142000]\tvalid_0's mape: 0.00901594\n",
      "[144000]\tvalid_0's mape: 0.00901541\n",
      "[146000]\tvalid_0's mape: 0.00901489\n",
      "[148000]\tvalid_0's mape: 0.0090144\n",
      "[150000]\tvalid_0's mape: 0.00901393\n",
      "[152000]\tvalid_0's mape: 0.00901344\n",
      "[154000]\tvalid_0's mape: 0.009013\n",
      "[156000]\tvalid_0's mape: 0.00901254\n",
      "[158000]\tvalid_0's mape: 0.00901213\n",
      "[160000]\tvalid_0's mape: 0.00901176\n",
      "[162000]\tvalid_0's mape: 0.00901139\n",
      "[164000]\tvalid_0's mape: 0.00901099\n",
      "[166000]\tvalid_0's mape: 0.0090106\n",
      "[168000]\tvalid_0's mape: 0.00901026\n",
      "[170000]\tvalid_0's mape: 0.00900993\n",
      "[172000]\tvalid_0's mape: 0.00900961\n",
      "[174000]\tvalid_0's mape: 0.00900932\n",
      "[176000]\tvalid_0's mape: 0.00900903\n",
      "[178000]\tvalid_0's mape: 0.00900876\n",
      "[180000]\tvalid_0's mape: 0.00900852\n",
      "[182000]\tvalid_0's mape: 0.00900826\n",
      "[184000]\tvalid_0's mape: 0.00900799\n",
      "[186000]\tvalid_0's mape: 0.00900776\n",
      "[188000]\tvalid_0's mape: 0.00900752\n",
      "[190000]\tvalid_0's mape: 0.00900733\n",
      "[192000]\tvalid_0's mape: 0.00900712\n",
      "[194000]\tvalid_0's mape: 0.00900689\n",
      "[196000]\tvalid_0's mape: 0.0090067\n",
      "[198000]\tvalid_0's mape: 0.00900652\n",
      "[200000]\tvalid_0's mape: 0.00900633\n",
      "[202000]\tvalid_0's mape: 0.00900617\n",
      "[204000]\tvalid_0's mape: 0.00900601\n",
      "[206000]\tvalid_0's mape: 0.00900584\n",
      "[208000]\tvalid_0's mape: 0.00900568\n",
      "[210000]\tvalid_0's mape: 0.00900551\n",
      "[212000]\tvalid_0's mape: 0.00900536\n",
      "[214000]\tvalid_0's mape: 0.0090052\n",
      "[216000]\tvalid_0's mape: 0.00900508\n",
      "[218000]\tvalid_0's mape: 0.00900496\n",
      "[220000]\tvalid_0's mape: 0.00900486\n",
      "[222000]\tvalid_0's mape: 0.00900475\n",
      "[224000]\tvalid_0's mape: 0.00900468\n",
      "Early stopping, best iteration is:\n",
      "[224111]\tvalid_0's mape: 0.00900467\n",
      "(Fold 2) score, mse, mae, mape: 6005.87381, 0.03791, 0.11974, 0.00900.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0184635\n",
      "[4000]\tvalid_0's mape: 0.0122183\n",
      "[6000]\tvalid_0's mape: 0.01099\n",
      "[8000]\tvalid_0's mape: 0.0104895\n",
      "[10000]\tvalid_0's mape: 0.0102022\n",
      "[12000]\tvalid_0's mape: 0.0100099\n",
      "[14000]\tvalid_0's mape: 0.00986583\n",
      "[16000]\tvalid_0's mape: 0.00975648\n",
      "[18000]\tvalid_0's mape: 0.00966993\n",
      "[20000]\tvalid_0's mape: 0.00960064\n",
      "[22000]\tvalid_0's mape: 0.00954448\n",
      "[24000]\tvalid_0's mape: 0.00949646\n",
      "[26000]\tvalid_0's mape: 0.00945639\n",
      "[28000]\tvalid_0's mape: 0.00942119\n",
      "[30000]\tvalid_0's mape: 0.00939031\n",
      "[32000]\tvalid_0's mape: 0.0093637\n",
      "[34000]\tvalid_0's mape: 0.00934055\n",
      "[36000]\tvalid_0's mape: 0.00931981\n",
      "[38000]\tvalid_0's mape: 0.00930138\n",
      "[40000]\tvalid_0's mape: 0.00928503\n",
      "[42000]\tvalid_0's mape: 0.00926957\n",
      "[44000]\tvalid_0's mape: 0.00925579\n",
      "[46000]\tvalid_0's mape: 0.00924347\n",
      "[48000]\tvalid_0's mape: 0.00923228\n",
      "[50000]\tvalid_0's mape: 0.00922193\n",
      "[52000]\tvalid_0's mape: 0.00921227\n",
      "[54000]\tvalid_0's mape: 0.00920304\n",
      "[56000]\tvalid_0's mape: 0.00919472\n",
      "[58000]\tvalid_0's mape: 0.00918716\n",
      "[60000]\tvalid_0's mape: 0.00918003\n",
      "[62000]\tvalid_0's mape: 0.00917364\n",
      "[64000]\tvalid_0's mape: 0.00916736\n",
      "[66000]\tvalid_0's mape: 0.00916168\n",
      "[68000]\tvalid_0's mape: 0.00915622\n",
      "[70000]\tvalid_0's mape: 0.00915116\n",
      "[72000]\tvalid_0's mape: 0.00914643\n",
      "[74000]\tvalid_0's mape: 0.00914212\n",
      "[76000]\tvalid_0's mape: 0.00913821\n",
      "[78000]\tvalid_0's mape: 0.00913434\n",
      "[80000]\tvalid_0's mape: 0.00913077\n",
      "[82000]\tvalid_0's mape: 0.00912734\n",
      "[84000]\tvalid_0's mape: 0.00912419\n",
      "[86000]\tvalid_0's mape: 0.00912122\n",
      "[88000]\tvalid_0's mape: 0.0091185\n",
      "[90000]\tvalid_0's mape: 0.00911591\n",
      "[92000]\tvalid_0's mape: 0.00911347\n",
      "[94000]\tvalid_0's mape: 0.00911096\n",
      "[96000]\tvalid_0's mape: 0.00910869\n",
      "[98000]\tvalid_0's mape: 0.00910662\n",
      "[100000]\tvalid_0's mape: 0.00910459\n",
      "[102000]\tvalid_0's mape: 0.00910271\n",
      "[104000]\tvalid_0's mape: 0.00910071\n",
      "[106000]\tvalid_0's mape: 0.00909893\n",
      "[108000]\tvalid_0's mape: 0.00909727\n",
      "[110000]\tvalid_0's mape: 0.00909569\n",
      "[112000]\tvalid_0's mape: 0.00909416\n",
      "[114000]\tvalid_0's mape: 0.00909273\n",
      "[116000]\tvalid_0's mape: 0.00909125\n",
      "[118000]\tvalid_0's mape: 0.00908978\n",
      "[120000]\tvalid_0's mape: 0.00908845\n",
      "[122000]\tvalid_0's mape: 0.00908721\n",
      "[124000]\tvalid_0's mape: 0.00908601\n",
      "[126000]\tvalid_0's mape: 0.00908494\n",
      "[128000]\tvalid_0's mape: 0.00908386\n",
      "[130000]\tvalid_0's mape: 0.00908282\n",
      "[132000]\tvalid_0's mape: 0.00908185\n",
      "[134000]\tvalid_0's mape: 0.00908095\n",
      "[136000]\tvalid_0's mape: 0.00908003\n",
      "[138000]\tvalid_0's mape: 0.00907921\n",
      "[140000]\tvalid_0's mape: 0.00907846\n",
      "[142000]\tvalid_0's mape: 0.00907772\n",
      "[144000]\tvalid_0's mape: 0.00907698\n",
      "[146000]\tvalid_0's mape: 0.00907637\n",
      "[148000]\tvalid_0's mape: 0.00907573\n",
      "[150000]\tvalid_0's mape: 0.00907504\n",
      "[152000]\tvalid_0's mape: 0.00907444\n",
      "[154000]\tvalid_0's mape: 0.00907387\n",
      "[156000]\tvalid_0's mape: 0.00907336\n",
      "[158000]\tvalid_0's mape: 0.0090728\n",
      "[160000]\tvalid_0's mape: 0.00907225\n",
      "[162000]\tvalid_0's mape: 0.00907176\n",
      "[164000]\tvalid_0's mape: 0.00907129\n",
      "[166000]\tvalid_0's mape: 0.00907082\n",
      "[168000]\tvalid_0's mape: 0.00907035\n",
      "[170000]\tvalid_0's mape: 0.00906996\n",
      "[172000]\tvalid_0's mape: 0.00906957\n",
      "[174000]\tvalid_0's mape: 0.00906918\n",
      "[176000]\tvalid_0's mape: 0.00906881\n",
      "[178000]\tvalid_0's mape: 0.00906844\n",
      "[180000]\tvalid_0's mape: 0.0090681\n",
      "[182000]\tvalid_0's mape: 0.00906777\n",
      "[184000]\tvalid_0's mape: 0.00906745\n",
      "[186000]\tvalid_0's mape: 0.00906716\n",
      "[188000]\tvalid_0's mape: 0.00906685\n",
      "[190000]\tvalid_0's mape: 0.00906656\n",
      "[192000]\tvalid_0's mape: 0.00906627\n",
      "[194000]\tvalid_0's mape: 0.00906601\n",
      "[196000]\tvalid_0's mape: 0.00906579\n",
      "[198000]\tvalid_0's mape: 0.00906555\n",
      "[200000]\tvalid_0's mape: 0.00906532\n",
      "[202000]\tvalid_0's mape: 0.0090651\n",
      "[204000]\tvalid_0's mape: 0.00906486\n",
      "[206000]\tvalid_0's mape: 0.00906464\n",
      "[208000]\tvalid_0's mape: 0.00906442\n",
      "[210000]\tvalid_0's mape: 0.00906422\n",
      "[212000]\tvalid_0's mape: 0.00906401\n",
      "[214000]\tvalid_0's mape: 0.00906382\n",
      "[216000]\tvalid_0's mape: 0.00906364\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[218000]\tvalid_0's mape: 0.00906346\n",
      "[220000]\tvalid_0's mape: 0.0090633\n",
      "[222000]\tvalid_0's mape: 0.00906317\n",
      "[224000]\tvalid_0's mape: 0.00906301\n",
      "Early stopping, best iteration is:\n",
      "[224530]\tvalid_0's mape: 0.00906296\n",
      "(Fold 3) score, mse, mae, mape: 5988.87598, 0.03749, 0.12067, 0.00906.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0188194\n",
      "[4000]\tvalid_0's mape: 0.0123184\n",
      "[6000]\tvalid_0's mape: 0.0109554\n",
      "[8000]\tvalid_0's mape: 0.0104072\n",
      "[10000]\tvalid_0's mape: 0.0100968\n",
      "[12000]\tvalid_0's mape: 0.00989227\n",
      "[14000]\tvalid_0's mape: 0.00974457\n",
      "[16000]\tvalid_0's mape: 0.00963321\n",
      "[18000]\tvalid_0's mape: 0.00954764\n",
      "[20000]\tvalid_0's mape: 0.0094795\n",
      "[22000]\tvalid_0's mape: 0.00942417\n",
      "[24000]\tvalid_0's mape: 0.00937807\n",
      "[26000]\tvalid_0's mape: 0.00933974\n",
      "[28000]\tvalid_0's mape: 0.0093066\n",
      "[30000]\tvalid_0's mape: 0.00927819\n",
      "[32000]\tvalid_0's mape: 0.00925271\n",
      "[34000]\tvalid_0's mape: 0.00923062\n",
      "[36000]\tvalid_0's mape: 0.00921094\n",
      "[38000]\tvalid_0's mape: 0.00919323\n",
      "[40000]\tvalid_0's mape: 0.0091772\n",
      "[42000]\tvalid_0's mape: 0.00916306\n",
      "[44000]\tvalid_0's mape: 0.00915005\n",
      "[46000]\tvalid_0's mape: 0.00913856\n",
      "[48000]\tvalid_0's mape: 0.00912789\n",
      "[50000]\tvalid_0's mape: 0.00911795\n",
      "[52000]\tvalid_0's mape: 0.00910907\n",
      "[54000]\tvalid_0's mape: 0.00910092\n",
      "[56000]\tvalid_0's mape: 0.00909301\n",
      "[58000]\tvalid_0's mape: 0.00908599\n",
      "[60000]\tvalid_0's mape: 0.00907969\n",
      "[62000]\tvalid_0's mape: 0.00907403\n",
      "[64000]\tvalid_0's mape: 0.00906885\n",
      "[66000]\tvalid_0's mape: 0.00906415\n",
      "[68000]\tvalid_0's mape: 0.00905984\n",
      "[70000]\tvalid_0's mape: 0.00905576\n",
      "[72000]\tvalid_0's mape: 0.00905177\n",
      "[74000]\tvalid_0's mape: 0.00904843\n",
      "[76000]\tvalid_0's mape: 0.00904496\n",
      "[78000]\tvalid_0's mape: 0.00904178\n",
      "[80000]\tvalid_0's mape: 0.00903904\n",
      "[82000]\tvalid_0's mape: 0.0090364\n",
      "[84000]\tvalid_0's mape: 0.00903401\n",
      "[86000]\tvalid_0's mape: 0.00903159\n",
      "[88000]\tvalid_0's mape: 0.00902931\n",
      "[90000]\tvalid_0's mape: 0.00902713\n",
      "[92000]\tvalid_0's mape: 0.00902516\n",
      "[94000]\tvalid_0's mape: 0.00902326\n",
      "[96000]\tvalid_0's mape: 0.00902139\n",
      "[98000]\tvalid_0's mape: 0.00901969\n",
      "[100000]\tvalid_0's mape: 0.00901812\n",
      "[102000]\tvalid_0's mape: 0.00901656\n",
      "[104000]\tvalid_0's mape: 0.00901505\n",
      "[106000]\tvalid_0's mape: 0.00901367\n",
      "[108000]\tvalid_0's mape: 0.00901241\n",
      "[110000]\tvalid_0's mape: 0.00901109\n",
      "[112000]\tvalid_0's mape: 0.00900973\n",
      "[114000]\tvalid_0's mape: 0.00900849\n",
      "[116000]\tvalid_0's mape: 0.00900734\n",
      "[118000]\tvalid_0's mape: 0.00900632\n",
      "[120000]\tvalid_0's mape: 0.00900533\n",
      "[122000]\tvalid_0's mape: 0.00900437\n",
      "[124000]\tvalid_0's mape: 0.00900349\n",
      "[126000]\tvalid_0's mape: 0.00900265\n",
      "[128000]\tvalid_0's mape: 0.00900187\n",
      "[130000]\tvalid_0's mape: 0.00900116\n",
      "[132000]\tvalid_0's mape: 0.00900049\n",
      "[134000]\tvalid_0's mape: 0.00899984\n",
      "[136000]\tvalid_0's mape: 0.00899923\n",
      "[138000]\tvalid_0's mape: 0.00899866\n",
      "[140000]\tvalid_0's mape: 0.00899806\n",
      "[142000]\tvalid_0's mape: 0.00899752\n",
      "[144000]\tvalid_0's mape: 0.00899705\n",
      "[146000]\tvalid_0's mape: 0.00899656\n",
      "[148000]\tvalid_0's mape: 0.00899611\n",
      "[150000]\tvalid_0's mape: 0.00899569\n",
      "[152000]\tvalid_0's mape: 0.00899537\n",
      "[154000]\tvalid_0's mape: 0.00899497\n",
      "[156000]\tvalid_0's mape: 0.00899455\n",
      "[158000]\tvalid_0's mape: 0.00899411\n",
      "[160000]\tvalid_0's mape: 0.00899373\n",
      "[162000]\tvalid_0's mape: 0.00899338\n",
      "[164000]\tvalid_0's mape: 0.00899307\n",
      "[166000]\tvalid_0's mape: 0.00899272\n",
      "[168000]\tvalid_0's mape: 0.00899241\n",
      "[170000]\tvalid_0's mape: 0.0089921\n",
      "[172000]\tvalid_0's mape: 0.00899179\n",
      "[174000]\tvalid_0's mape: 0.00899151\n",
      "[176000]\tvalid_0's mape: 0.00899128\n",
      "[178000]\tvalid_0's mape: 0.00899104\n",
      "[180000]\tvalid_0's mape: 0.00899078\n",
      "[182000]\tvalid_0's mape: 0.00899054\n",
      "[184000]\tvalid_0's mape: 0.00899031\n",
      "[186000]\tvalid_0's mape: 0.00899007\n",
      "[188000]\tvalid_0's mape: 0.00898982\n",
      "[190000]\tvalid_0's mape: 0.00898959\n",
      "[192000]\tvalid_0's mape: 0.00898939\n",
      "[194000]\tvalid_0's mape: 0.00898918\n",
      "[196000]\tvalid_0's mape: 0.00898896\n",
      "[198000]\tvalid_0's mape: 0.00898876\n",
      "[200000]\tvalid_0's mape: 0.00898857\n",
      "[202000]\tvalid_0's mape: 0.0089884\n",
      "[204000]\tvalid_0's mape: 0.00898823\n",
      "[206000]\tvalid_0's mape: 0.00898806\n",
      "[208000]\tvalid_0's mape: 0.00898793\n",
      "[210000]\tvalid_0's mape: 0.00898777\n",
      "[212000]\tvalid_0's mape: 0.00898763\n",
      "[214000]\tvalid_0's mape: 0.00898752\n",
      "[216000]\tvalid_0's mape: 0.00898744\n",
      "[218000]\tvalid_0's mape: 0.00898733\n",
      "[220000]\tvalid_0's mape: 0.00898726\n",
      "[222000]\tvalid_0's mape: 0.00898717\n",
      "[224000]\tvalid_0's mape: 0.00898711\n",
      "Early stopping, best iteration is:\n",
      "[224243]\tvalid_0's mape: 0.00898711\n",
      "(Fold 4) score, mse, mae, mape: 5964.87448, 0.03720, 0.11959, 0.00899.\n"
     ]
    }
   ],
   "source": [
    "t0 = time.time()\n",
    "\n",
    "predicts_val = []\n",
    "predicts_test = test[['building_id']].copy()\n",
    "best_iterations = []\n",
    "scores = []\n",
    "for i, id_fold in enumerate(id_cv):\n",
    "    #id_fold = id_fold['building_id']\n",
    "    # split train, val\n",
    "    df_train = train.loc[~train['building_id'].isin(id_fold)].copy()\n",
    "    df_val = train.loc[train['building_id'].isin(id_fold)].copy()\n",
    "    df_test = test.copy()\n",
    "    \n",
    "    # feat eng\n",
    "    feat_eng = FeatureEngineering(cols_num, cols_cat, cols_feats, col_target)\n",
    "    df_train = feat_eng.fit_transform(df_train)\n",
    "    df_val = feat_eng.transform(df_val)\n",
    "    df_test = feat_eng.transform(df_test)\n",
    "\n",
    "    if rm_outlier:\n",
    "        df_train = df_train.merge(training_buildings, on='building_id', how='inner').reset_index()\n",
    "\n",
    "    # Construct lgb dataset\n",
    "    lgb_train = lgb.Dataset(df_train[cols_feats], df_train[col_target]).construct()\n",
    "    lgb_val = lgb.Dataset(df_val[cols_feats], df_val[col_target], reference=lgb_train).construct()\n",
    "        \n",
    "    # train model    \n",
    "    model = lgb.train(params, lgb_train, valid_sets=lgb_val, **lgb_other_params, keep_training_booster=True)\n",
    "    best_iterations.append(model.best_iteration)\n",
    "\n",
    "    # Predict on val set\n",
    "    y_pred = model.predict(df_val[cols_feats])\n",
    "    mse = mean_squared_error(df_val[col_target], y_pred)\n",
    "    mae = mean_absolute_error(df_val[col_target], y_pred)\n",
    "    mape = cal_mape(df_val[col_target], y_pred)\n",
    "    \n",
    "    y_pred_final = post_processing(y_pred, df_val)\n",
    "    score = cal_score(df_val['total_price'], y_pred_final)\n",
    "    scores.append(score)\n",
    "\n",
    "    print('(Fold %d) score, mse, mae, mape: %.5f, %.5f, %.5f, %.5f.' % (i, score, mse, mae, mape))\n",
    "    predicts_val.append(pd.DataFrame({'building_id': df_val['building_id'],\n",
    "                                      'total_price': df_val['total_price'],\n",
    "                                      'total_price_predict': y_pred_final}))\n",
    "\n",
    "    # Predict on test set\n",
    "    y_pred_test = model.predict(df_test[cols_feats])\n",
    "    predicts_test['target_{}'.format(i)] = y_pred_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 35872.79750466347\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', time.time() - t0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv score (mean, stdev): 5977.275714676411 53.16568183073694\n"
     ]
    }
   ],
   "source": [
    "print('Kfold cv score (mean, stdev):', np.mean(scores), np.std(scores)) # 5868.87314"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "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",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>target_0</th>\n",
       "      <th>target_1</th>\n",
       "      <th>target_2</th>\n",
       "      <th>target_3</th>\n",
       "      <th>target_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>15.118478</td>\n",
       "      <td>15.171927</td>\n",
       "      <td>15.137256</td>\n",
       "      <td>15.226904</td>\n",
       "      <td>15.081203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>13.134287</td>\n",
       "      <td>13.103933</td>\n",
       "      <td>13.134911</td>\n",
       "      <td>13.141478</td>\n",
       "      <td>13.132736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>13.648104</td>\n",
       "      <td>13.684787</td>\n",
       "      <td>13.653483</td>\n",
       "      <td>13.673206</td>\n",
       "      <td>13.650965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>14.830312</td>\n",
       "      <td>14.813792</td>\n",
       "      <td>14.769559</td>\n",
       "      <td>14.815315</td>\n",
       "      <td>14.773830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>12.147853</td>\n",
       "      <td>12.129956</td>\n",
       "      <td>12.077001</td>\n",
       "      <td>12.192696</td>\n",
       "      <td>12.189086</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id   target_0   target_1   target_2   target_3   target_4\n",
       "0  X5gsdTWGS3W7JJQB  15.118478  15.171927  15.137256  15.226904  15.081203\n",
       "1  BTshNOJyKHnT2YIT  13.134287  13.103933  13.134911  13.141478  13.132736\n",
       "2  dhdymr0lV8N5kZOT  13.648104  13.684787  13.653483  13.673206  13.650965\n",
       "3  VEwyGGMcD56w5BOc  14.830312  14.813792  14.769559  14.815315  14.773830\n",
       "4  wmUeMoJZfsqaSX9b  12.147853  12.129956  12.077001  12.192696  12.189086"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicts_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.concat(predicts_val, axis=0).to_csv('output/'+model_name+'-cv.csv', index=False)\n",
    "\n",
    "predicts_test['target_mean'] = \\\n",
    "    predicts_test[['target_'+str(i) for i in range(len(id_cv))]].mean(axis=1)\n",
    "predicts_test['total_price'] = post_processing(predicts_test['target_mean'].values, df_test)\n",
    "predicts_test[['building_id', 'total_price']].to_csv('output/'+model_name+'-test-kfold.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best iterations: [223754, 225141, 224111, 224530, 224243]\n",
      "Mean best iterations: 224355\n"
     ]
    }
   ],
   "source": [
    "print('Best iterations:', best_iterations)\n",
    "print('Mean best iterations:', int(np.mean(best_iterations)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### One-fold test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'num_boost_round': 269226, 'verbose_eval': 2000}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lgb_other_params_one = {'num_boost_round': int(np.mean(best_iterations)*1.2),\n",
    "                        'verbose_eval': 2000,}\n",
    "lgb_other_params_one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'task': 'train',\n",
       " 'boosting_type': 'gbdt',\n",
       " 'objective': 'mse',\n",
       " 'metric': 'mape',\n",
       " 'learning_rate': 0.0008,\n",
       " 'max_depth': 24,\n",
       " 'num_leaves': 279,\n",
       " 'feature_fraction': 0.45,\n",
       " 'min_data_in_leaf': 8,\n",
       " 'lambda_l1': 0.07,\n",
       " 'lambda_l2': 0.01,\n",
       " 'seed': 444}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2000]\ttraining's mape: 0.0166687\n",
      "[4000]\ttraining's mape: 0.00936101\n",
      "[6000]\ttraining's mape: 0.00751022\n",
      "[8000]\ttraining's mape: 0.00656535\n",
      "[10000]\ttraining's mape: 0.00591338\n",
      "[12000]\ttraining's mape: 0.00541162\n",
      "[14000]\ttraining's mape: 0.00499839\n",
      "[16000]\ttraining's mape: 0.00464854\n",
      "[18000]\ttraining's mape: 0.00435124\n",
      "[20000]\ttraining's mape: 0.0040941\n",
      "[22000]\ttraining's mape: 0.00386805\n",
      "[24000]\ttraining's mape: 0.0036663\n",
      "[26000]\ttraining's mape: 0.00348488\n",
      "[28000]\ttraining's mape: 0.00331868\n",
      "[30000]\ttraining's mape: 0.00316471\n",
      "[32000]\ttraining's mape: 0.00302215\n",
      "[34000]\ttraining's mape: 0.00288964\n",
      "[36000]\ttraining's mape: 0.0027672\n",
      "[38000]\ttraining's mape: 0.00265334\n",
      "[40000]\ttraining's mape: 0.00254649\n",
      "[42000]\ttraining's mape: 0.00244595\n",
      "[44000]\ttraining's mape: 0.00235011\n",
      "[46000]\ttraining's mape: 0.00226075\n",
      "[48000]\ttraining's mape: 0.00217782\n",
      "[50000]\ttraining's mape: 0.0020983\n",
      "[52000]\ttraining's mape: 0.00202291\n",
      "[54000]\ttraining's mape: 0.00195128\n",
      "[56000]\ttraining's mape: 0.00188434\n",
      "[58000]\ttraining's mape: 0.00181879\n",
      "[60000]\ttraining's mape: 0.00175829\n",
      "[62000]\ttraining's mape: 0.00170037\n",
      "[64000]\ttraining's mape: 0.00164509\n",
      "[66000]\ttraining's mape: 0.00159219\n",
      "[68000]\ttraining's mape: 0.00154151\n",
      "[70000]\ttraining's mape: 0.00149347\n",
      "[72000]\ttraining's mape: 0.00144814\n",
      "[74000]\ttraining's mape: 0.00140416\n",
      "[76000]\ttraining's mape: 0.00136241\n",
      "[78000]\ttraining's mape: 0.00132177\n",
      "[80000]\ttraining's mape: 0.00128291\n",
      "[82000]\ttraining's mape: 0.0012456\n",
      "[84000]\ttraining's mape: 0.00120911\n",
      "[86000]\ttraining's mape: 0.0011752\n",
      "[88000]\ttraining's mape: 0.00114223\n",
      "[90000]\ttraining's mape: 0.00111074\n",
      "[92000]\ttraining's mape: 0.00108122\n",
      "[94000]\ttraining's mape: 0.00105276\n",
      "[96000]\ttraining's mape: 0.00102516\n",
      "[98000]\ttraining's mape: 0.000998685\n",
      "[100000]\ttraining's mape: 0.000972914\n",
      "[102000]\ttraining's mape: 0.000947735\n",
      "[104000]\ttraining's mape: 0.000922122\n",
      "[106000]\ttraining's mape: 0.0008973\n",
      "[108000]\ttraining's mape: 0.00087304\n",
      "[110000]\ttraining's mape: 0.00085035\n",
      "[112000]\ttraining's mape: 0.000828156\n",
      "[114000]\ttraining's mape: 0.000807732\n",
      "[116000]\ttraining's mape: 0.000788035\n",
      "[118000]\ttraining's mape: 0.000769758\n",
      "[120000]\ttraining's mape: 0.000751602\n",
      "[122000]\ttraining's mape: 0.000733897\n",
      "[124000]\ttraining's mape: 0.000716709\n",
      "[126000]\ttraining's mape: 0.00070052\n",
      "[128000]\ttraining's mape: 0.000684357\n",
      "[130000]\ttraining's mape: 0.000669644\n",
      "[132000]\ttraining's mape: 0.000655237\n",
      "[134000]\ttraining's mape: 0.00064134\n",
      "[136000]\ttraining's mape: 0.000627241\n",
      "[138000]\ttraining's mape: 0.000614023\n",
      "[140000]\ttraining's mape: 0.000601059\n",
      "[142000]\ttraining's mape: 0.000588591\n",
      "[144000]\ttraining's mape: 0.000576016\n",
      "[146000]\ttraining's mape: 0.000564436\n",
      "[148000]\ttraining's mape: 0.00055318\n",
      "[150000]\ttraining's mape: 0.000542076\n",
      "[152000]\ttraining's mape: 0.000531229\n",
      "[154000]\ttraining's mape: 0.000520703\n",
      "[156000]\ttraining's mape: 0.000510776\n",
      "[158000]\ttraining's mape: 0.000500931\n",
      "[160000]\ttraining's mape: 0.000491352\n",
      "[162000]\ttraining's mape: 0.000482098\n",
      "[164000]\ttraining's mape: 0.000473076\n",
      "[166000]\ttraining's mape: 0.000464395\n",
      "[168000]\ttraining's mape: 0.000456005\n",
      "[170000]\ttraining's mape: 0.000447881\n",
      "[172000]\ttraining's mape: 0.000439935\n",
      "[174000]\ttraining's mape: 0.000432252\n",
      "[176000]\ttraining's mape: 0.000424486\n",
      "[178000]\ttraining's mape: 0.000416988\n",
      "[180000]\ttraining's mape: 0.00040986\n",
      "[182000]\ttraining's mape: 0.000403012\n",
      "[184000]\ttraining's mape: 0.000396185\n",
      "[186000]\ttraining's mape: 0.000389355\n",
      "[188000]\ttraining's mape: 0.000382781\n",
      "[190000]\ttraining's mape: 0.000376461\n",
      "[192000]\ttraining's mape: 0.00037017\n",
      "[194000]\ttraining's mape: 0.000364005\n",
      "[196000]\ttraining's mape: 0.000358153\n",
      "[198000]\ttraining's mape: 0.000352509\n",
      "[200000]\ttraining's mape: 0.000346892\n",
      "[202000]\ttraining's mape: 0.000341449\n",
      "[204000]\ttraining's mape: 0.00033611\n",
      "[206000]\ttraining's mape: 0.000331018\n",
      "[208000]\ttraining's mape: 0.000326029\n",
      "[210000]\ttraining's mape: 0.000321209\n",
      "[212000]\ttraining's mape: 0.000316526\n",
      "[214000]\ttraining's mape: 0.000311954\n",
      "[216000]\ttraining's mape: 0.00030745\n",
      "[218000]\ttraining's mape: 0.000302995\n",
      "[220000]\ttraining's mape: 0.000298677\n",
      "[222000]\ttraining's mape: 0.000294485\n",
      "[224000]\ttraining's mape: 0.000290427\n",
      "[226000]\ttraining's mape: 0.000286431\n",
      "[228000]\ttraining's mape: 0.000282547\n",
      "[230000]\ttraining's mape: 0.000278709\n",
      "[232000]\ttraining's mape: 0.000275062\n",
      "[234000]\ttraining's mape: 0.000271482\n",
      "[236000]\ttraining's mape: 0.000267971\n",
      "[238000]\ttraining's mape: 0.000264569\n",
      "[240000]\ttraining's mape: 0.000261238\n",
      "[242000]\ttraining's mape: 0.000257953\n",
      "[244000]\ttraining's mape: 0.00025475\n",
      "[246000]\ttraining's mape: 0.000251666\n",
      "[248000]\ttraining's mape: 0.000248682\n",
      "[250000]\ttraining's mape: 0.000245636\n",
      "[252000]\ttraining's mape: 0.00024276\n",
      "[254000]\ttraining's mape: 0.000239897\n",
      "[256000]\ttraining's mape: 0.000237123\n",
      "[258000]\ttraining's mape: 0.000234381\n",
      "[260000]\ttraining's mape: 0.000231779\n",
      "[262000]\ttraining's mape: 0.0002293\n",
      "[264000]\ttraining's mape: 0.000226821\n",
      "[266000]\ttraining's mape: 0.000224393\n",
      "[268000]\ttraining's mape: 0.00022193\n"
     ]
    },
    {
     "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",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>total_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>1.334910e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>3.890587e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>1.059390e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>6.119229e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>1.110317e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>EtBjGAHmHCe9t7TZ</td>\n",
       "      <td>2.767187e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hPNH34vmaZtvBtqc</td>\n",
       "      <td>1.217959e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>wXjeI38bYDMJJwZC</td>\n",
       "      <td>6.218182e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fxZSGX6aPAFKU8W4</td>\n",
       "      <td>1.678093e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ewr0Fx6ign87OwaV</td>\n",
       "      <td>4.065522e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>gHKurnEP4AowzsLg</td>\n",
       "      <td>8.912387e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PmLfTgY2FElLrTl0</td>\n",
       "      <td>5.458627e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>eM2NppIOwzW0o8iy</td>\n",
       "      <td>9.811367e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dxxwNun97NH4WTrZ</td>\n",
       "      <td>2.709400e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>jykBfhh3vdeFUi3H</td>\n",
       "      <td>3.990507e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NlXbvdFfmJZf3L18</td>\n",
       "      <td>2.185632e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>D7jaFWHCzSqLBwdt</td>\n",
       "      <td>9.870011e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>L10dBBdqGmemweSl</td>\n",
       "      <td>5.057290e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>OgB0AdiPKlElakKN</td>\n",
       "      <td>1.083565e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>StiWNN1GQrpPBOYt</td>\n",
       "      <td>2.604907e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         building_id   total_price\n",
       "0   X5gsdTWGS3W7JJQB  1.334910e+07\n",
       "1   BTshNOJyKHnT2YIT  3.890587e+06\n",
       "2   dhdymr0lV8N5kZOT  1.059390e+07\n",
       "3   VEwyGGMcD56w5BOc  6.119229e+06\n",
       "4   wmUeMoJZfsqaSX9b  1.110317e+06\n",
       "5   EtBjGAHmHCe9t7TZ  2.767187e+06\n",
       "6   hPNH34vmaZtvBtqc  1.217959e+07\n",
       "7   wXjeI38bYDMJJwZC  6.218182e+06\n",
       "8   fxZSGX6aPAFKU8W4  1.678093e+06\n",
       "9   ewr0Fx6ign87OwaV  4.065522e+06\n",
       "10  gHKurnEP4AowzsLg  8.912387e+05\n",
       "11  PmLfTgY2FElLrTl0  5.458627e+06\n",
       "12  eM2NppIOwzW0o8iy  9.811367e+06\n",
       "13  dxxwNun97NH4WTrZ  2.709400e+06\n",
       "14  jykBfhh3vdeFUi3H  3.990507e+06\n",
       "15  NlXbvdFfmJZf3L18  2.185632e+07\n",
       "16  D7jaFWHCzSqLBwdt  9.870011e+05\n",
       "17  L10dBBdqGmemweSl  5.057290e+06\n",
       "18  OgB0AdiPKlElakKN  1.083565e+06\n",
       "19  StiWNN1GQrpPBOYt  2.604907e+06"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t10 = time.time()\n",
    "\n",
    "df_train = train.copy()\n",
    "df_test = test.copy()\n",
    "\n",
    "# feat eng\n",
    "feat_eng = FeatureEngineering(cols_num, cols_cat, cols_feats, col_target)\n",
    "df_train = feat_eng.fit_transform(df_train)\n",
    "df_test = feat_eng.transform(df_test)\n",
    "\n",
    "if rm_outlier:\n",
    "    df_train = df_train.merge(training_buildings, on='building_id', how='inner').reset_index()\n",
    "\n",
    "# Construct lgb dataset\n",
    "lgb_train = lgb.Dataset(df_train[cols_feats], df_train[col_target]).construct()\n",
    "\n",
    "# train model    \n",
    "model = lgb.train(params, lgb_train, valid_sets=lgb_train, **lgb_other_params_one, keep_training_booster=True)\n",
    "\n",
    "y_pred = model.predict(df_test[cols_feats])\n",
    "y_pred_final = post_processing(y_pred, df_test)\n",
    "\n",
    "df_test_pred = pd.DataFrame({'building_id': df_test['building_id'], \n",
    "                             'total_price': y_pred_final})\n",
    "\n",
    "t11 = time.time()\n",
    "\n",
    "display(df_test_pred.head(20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test_pred.to_csv('output/'+model_name+'-test-one.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 8518.064650774002\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', t11 - t10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lgb.plot_importance(model, figsize=(12, 30), height=0.5) # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lgb.plot_importance(model, figsize=(12, 30), height=0.5, importance_type='gain') # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "178.766px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}