final_submission.ipynb

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 "cells": [
  {
   "source": [
    "# Predicting Sale Price from NYC Property Sale Data\n",
    "## Berkeley SAAS CX Fall 2020 Kaggle Competition\n",
    "## Ming Fong and Yifan Zhang\n"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "This is our winning solution for the [SAAS CX Fall 2020 Kaggle final project](https://www.kaggle.com/c/saas-2020-fall-cx-kaggle-compeition/). Our team comprised of [Ming Fong](https://mingyfong.github.io/) and [Yifan Zhang](https://github.com/callmenafiy). Thank you to the CX directors and ED committee for setting this up!"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Imports"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn import linear_model\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Display all columns of Dataframes\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "source": [
    "## Loading Data"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = pd.read_csv(\"data/train_features.csv\")\n",
    "y_train = pd.read_csv(\"data/train_targets.csv\")\n",
    "X_test = pd.read_csv(\"data/test_features.csv\")\n",
    "# sample_submission = pd.read_csv(\"output/sample_submission.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# merge sale price onto feature data\n",
    "df = X_train.merge(right = y_train, on = \"id\", how = \"outer\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat([df, X_test], axis=0, ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.set_index(\"id\")"
   ]
  },
  {
   "source": [
    "## Data Preparation"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# \"EASE-MENT\" is an empty column, delete it\n",
    "del df[\"EASE-MENT\"]\n",
    "\n",
    "# Delete date column\n",
    "del df[\"SALE DATE\"]\n",
    "\n",
    "# These columns are hard to use or repeat information from other columns\n",
    "del df[\"LOT\"]\n",
    "del df[\"ADDRESS\"]\n",
    "del df[\"APARTMENT NUMBER\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Correlation between features\n",
    "\n",
    "corr = train_merged.corr()\n",
    "print(corr['SALE PRICE'].sort_values(ascending=False))\n",
    "sns.heatmap(corr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\nIndex: 37153 entries, train0 to test9288\nData columns (total 19 columns):\n #   Column                          Non-Null Count  Dtype  \n---  ------                          --------------  -----  \n 0   BOROUGH                         37153 non-null  int64  \n 1   NEIGHBORHOOD                    37153 non-null  object \n 2   BUILDING CLASS CATEGORY         37153 non-null  object \n 3   TAX CLASS AT PRESENT            37153 non-null  object \n 4   BLOCK                           37153 non-null  int64  \n 5   BUILDING CLASS AT PRESENT       37153 non-null  object \n 6   ZIP CODE                        37153 non-null  int64  \n 7   RESIDENTIAL UNITS               37153 non-null  int64  \n 8   COMMERCIAL UNITS                37153 non-null  int64  \n 9   TOTAL UNITS                     37153 non-null  int64  \n 10  LAND SQUARE FEET                37153 non-null  float64\n 11  GROSS SQUARE FEET               37153 non-null  float64\n 12  YEAR BUILT                      37153 non-null  int64  \n 13  TAX CLASS AT TIME OF SALE       37153 non-null  int64  \n 14  BUILDING CLASS AT TIME OF SALE  37153 non-null  object \n 15  MEDIAN INCOME                   37153 non-null  float64\n 16  MEAN INCOME                     37153 non-null  float64\n 17  POPULATION                      37153 non-null  int64  \n 18  SALE PRICE                      27864 non-null  float64\ndtypes: float64(5), int64(9), object(5)\nmemory usage: 5.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert some numeric categoricals to categorical\n",
    "\n",
    "df['TAX CLASS AT TIME OF SALE'] = df['TAX CLASS AT TIME OF SALE'].astype('category')\n",
    "df['TAX CLASS AT PRESENT'] = df['TAX CLASS AT PRESENT'].astype('category')\n",
    "df['LAND SQUARE FEET'] = pd.to_numeric(df['LAND SQUARE FEET'])\n",
    "df['GROSS SQUARE FEET']= pd.to_numeric(df['GROSS SQUARE FEET'])\n",
    "df['SALE PRICE'] = pd.to_numeric(df['SALE PRICE'])\n",
    "df['BOROUGH'] = df['BOROUGH'].astype('category')\n",
    "df['ZIP CODE'] = df['ZIP CODE'].astype('category')\n",
    "df['BLOCK'] = df['BLOCK'].astype('category')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         BOROUGH               NEIGHBORHOOD  \\\n",
       "id                                            \n",
       "train0         2                 BAYCHESTER   \n",
       "train1         3                 MILL BASIN   \n",
       "train2         3                    MIDWOOD   \n",
       "train3         3               CLINTON HILL   \n",
       "train4         2             WILLIAMSBRIDGE   \n",
       "...          ...                        ...   \n",
       "test9284       1   WASHINGTON HEIGHTS LOWER   \n",
       "test9285       5  RICHMONDTOWN-LIGHTHS HILL   \n",
       "test9286       4                     CORONA   \n",
       "test9287       3                 GREENPOINT   \n",
       "test9288       2       MORRIS PARK/VAN NEST   \n",
       "\n",
       "                              BUILDING CLASS CATEGORY TAX CLASS AT PRESENT  \\\n",
       "id                                                                           \n",
       "train0    01 ONE FAMILY DWELLINGS                                        1   \n",
       "train1    01 ONE FAMILY DWELLINGS                                        1   \n",
       "train2    01 ONE FAMILY DWELLINGS                                        1   \n",
       "train3    07 RENTALS - WALKUP APARTMENTS                                2A   \n",
       "train4    02 TWO FAMILY DWELLINGS                                        1   \n",
       "...                                               ...                  ...   \n",
       "test9284  07 RENTALS - WALKUP APARTMENTS                                 2   \n",
       "test9285  01 ONE FAMILY DWELLINGS                                        1   \n",
       "test9286  03 THREE FAMILY DWELLINGS                                      1   \n",
       "test9287  13 CONDOS - ELEVATOR APARTMENTS                                    \n",
       "test9288  01 ONE FAMILY DWELLINGS                                        1   \n",
       "\n",
       "         BLOCK BUILDING CLASS AT PRESENT ZIP CODE  RESIDENTIAL UNITS  \\\n",
       "id                                                                     \n",
       "train0    4970                        A1    10466                  1   \n",
       "train1    8621                        A1    11234                  1   \n",
       "train2    7557                        A1    11210                  1   \n",
       "train3    1965                        C4    11238                  5   \n",
       "train4    4866                        B1    10466                  2   \n",
       "...        ...                       ...      ...                ...   \n",
       "test9284  2117                        C4    10032                 20   \n",
       "test9285  2287                        A3    10306                  1   \n",
       "test9286  1940                        C0    11368                  3   \n",
       "test9287  2562                              11222                  0   \n",
       "test9288  4131                        A5    10461                  1   \n",
       "\n",
       "          COMMERCIAL UNITS  TOTAL UNITS  LAND SQUARE FEET  GROSS SQUARE FEET  \\\n",
       "id                                                                             \n",
       "train0                   0            1            2760.0             1056.0   \n",
       "train1                   0            1            4317.0             2424.0   \n",
       "train2                   0            1            1975.0             1460.0   \n",
       "train3                   0            5            2200.0             7040.0   \n",
       "train4                   0            2            2136.0             1272.0   \n",
       "...                    ...          ...               ...                ...   \n",
       "test9284                 0           20            2498.0             9685.0   \n",
       "test9285                 0            1           10600.0             2688.0   \n",
       "test9286                 0            3            2000.0             3162.0   \n",
       "test9287                 0            0               0.0                0.0   \n",
       "test9288                 0            1            1800.0             1782.0   \n",
       "\n",
       "          YEAR BUILT TAX CLASS AT TIME OF SALE BUILDING CLASS AT TIME OF SALE  \\\n",
       "id                                                                              \n",
       "train0          1925                         1                             A1   \n",
       "train1          1960                         1                             A1   \n",
       "train2          1915                         1                             A1   \n",
       "train3          1930                         2                             C4   \n",
       "train4          1935                         1                             B1   \n",
       "...              ...                       ...                            ...   \n",
       "test9284        1913                         2                             C4   \n",
       "test9285        1970                         1                             A3   \n",
       "test9286        1969                         1                             C0   \n",
       "test9287           0                         2                             R4   \n",
       "test9288        1940                         1                             A5   \n",
       "\n",
       "          MEDIAN INCOME  MEAN INCOME  POPULATION  SALE PRICE  \n",
       "id                                                            \n",
       "train0       48469.7389   57368.0989       68662    315000.0  \n",
       "train1       67952.9473   77076.9976       81033    995000.0  \n",
       "train2       55000.8962   69161.9360       67349    627500.0  \n",
       "train3       61468.5107   79249.3305       49085   3200000.0  \n",
       "train4       48469.7389   57368.0989       68662    440000.0  \n",
       "...                 ...          ...         ...         ...  \n",
       "test9284     29535.9721   40902.4289       54744         NaN  \n",
       "test9285     75212.0632   91445.7035       54812         NaN  \n",
       "test9286     43962.6552   54259.4037       95662         NaN  \n",
       "test9287     54366.9033   69808.6353       40003         NaN  \n",
       "test9288     47715.8304   58036.9104       48081         NaN  \n",
       "\n",
       "[37153 rows x 19 columns]"
      ],
      "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>BOROUGH</th>\n      <th>NEIGHBORHOOD</th>\n      <th>BUILDING CLASS CATEGORY</th>\n      <th>TAX CLASS AT PRESENT</th>\n      <th>BLOCK</th>\n      <th>BUILDING CLASS AT PRESENT</th>\n      <th>ZIP CODE</th>\n      <th>RESIDENTIAL UNITS</th>\n      <th>COMMERCIAL UNITS</th>\n      <th>TOTAL UNITS</th>\n      <th>LAND SQUARE FEET</th>\n      <th>GROSS SQUARE FEET</th>\n      <th>YEAR BUILT</th>\n      <th>TAX CLASS AT TIME OF SALE</th>\n      <th>BUILDING CLASS AT TIME OF SALE</th>\n      <th>MEDIAN INCOME</th>\n      <th>MEAN INCOME</th>\n      <th>POPULATION</th>\n      <th>SALE PRICE</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>train0</th>\n      <td>2</td>\n      <td>BAYCHESTER</td>\n      <td>01 ONE FAMILY DWELLINGS</td>\n      <td>1</td>\n      <td>4970</td>\n      <td>A1</td>\n      <td>10466</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2760.0</td>\n      <td>1056.0</td>\n      <td>1925</td>\n      <td>1</td>\n      <td>A1</td>\n      <td>48469.7389</td>\n      <td>57368.0989</td>\n      <td>68662</td>\n      <td>315000.0</td>\n    </tr>\n    <tr>\n      <th>train1</th>\n      <td>3</td>\n      <td>MILL BASIN</td>\n      <td>01 ONE FAMILY DWELLINGS</td>\n      <td>1</td>\n      <td>8621</td>\n      <td>A1</td>\n      <td>11234</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>4317.0</td>\n      <td>2424.0</td>\n      <td>1960</td>\n      <td>1</td>\n      <td>A1</td>\n      <td>67952.9473</td>\n      <td>77076.9976</td>\n      <td>81033</td>\n      <td>995000.0</td>\n    </tr>\n    <tr>\n      <th>train2</th>\n      <td>3</td>\n      <td>MIDWOOD</td>\n      <td>01 ONE FAMILY DWELLINGS</td>\n      <td>1</td>\n      <td>7557</td>\n      <td>A1</td>\n      <td>11210</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1975.0</td>\n      <td>1460.0</td>\n      <td>1915</td>\n      <td>1</td>\n      <td>A1</td>\n      <td>55000.8962</td>\n      <td>69161.9360</td>\n      <td>67349</td>\n      <td>627500.0</td>\n    </tr>\n    <tr>\n      <th>train3</th>\n      <td>3</td>\n      <td>CLINTON HILL</td>\n      <td>07 RENTALS - WALKUP APARTMENTS</td>\n      <td>2A</td>\n      <td>1965</td>\n      <td>C4</td>\n      <td>11238</td>\n      <td>5</td>\n      <td>0</td>\n      <td>5</td>\n      <td>2200.0</td>\n      <td>7040.0</td>\n      <td>1930</td>\n      <td>2</td>\n      <td>C4</td>\n      <td>61468.5107</td>\n      <td>79249.3305</td>\n      <td>49085</td>\n      <td>3200000.0</td>\n    </tr>\n    <tr>\n      <th>train4</th>\n      <td>2</td>\n      <td>WILLIAMSBRIDGE</td>\n      <td>02 TWO FAMILY DWELLINGS</td>\n      <td>1</td>\n      <td>4866</td>\n      <td>B1</td>\n      <td>10466</td>\n      <td>2</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2136.0</td>\n      <td>1272.0</td>\n      <td>1935</td>\n      <td>1</td>\n      <td>B1</td>\n      <td>48469.7389</td>\n      <td>57368.0989</td>\n      <td>68662</td>\n      <td>440000.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>test9284</th>\n      <td>1</td>\n      <td>WASHINGTON HEIGHTS LOWER</td>\n      <td>07 RENTALS - WALKUP APARTMENTS</td>\n      <td>2</td>\n      <td>2117</td>\n      <td>C4</td>\n      <td>10032</td>\n      <td>20</td>\n      <td>0</td>\n      <td>20</td>\n      <td>2498.0</td>\n      <td>9685.0</td>\n      <td>1913</td>\n      <td>2</td>\n      <td>C4</td>\n      <td>29535.9721</td>\n      <td>40902.4289</td>\n      <td>54744</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>test9285</th>\n      <td>5</td>\n      <td>RICHMONDTOWN-LIGHTHS HILL</td>\n      <td>01 ONE FAMILY DWELLINGS</td>\n      <td>1</td>\n      <td>2287</td>\n      <td>A3</td>\n      <td>10306</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>10600.0</td>\n      <td>2688.0</td>\n      <td>1970</td>\n      <td>1</td>\n      <td>A3</td>\n      <td>75212.0632</td>\n      <td>91445.7035</td>\n      <td>54812</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>test9286</th>\n      <td>4</td>\n      <td>CORONA</td>\n      <td>03 THREE FAMILY DWELLINGS</td>\n      <td>1</td>\n      <td>1940</td>\n      <td>C0</td>\n      <td>11368</td>\n      <td>3</td>\n      <td>0</td>\n      <td>3</td>\n      <td>2000.0</td>\n      <td>3162.0</td>\n      <td>1969</td>\n      <td>1</td>\n      <td>C0</td>\n      <td>43962.6552</td>\n      <td>54259.4037</td>\n      <td>95662</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>test9287</th>\n      <td>3</td>\n      <td>GREENPOINT</td>\n      <td>13 CONDOS - ELEVATOR APARTMENTS</td>\n      <td></td>\n      <td>2562</td>\n      <td></td>\n      <td>11222</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>R4</td>\n      <td>54366.9033</td>\n      <td>69808.6353</td>\n      <td>40003</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>test9288</th>\n      <td>2</td>\n      <td>MORRIS PARK/VAN NEST</td>\n      <td>01 ONE FAMILY DWELLINGS</td>\n      <td>1</td>\n      <td>4131</td>\n      <td>A5</td>\n      <td>10461</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1800.0</td>\n      <td>1782.0</td>\n      <td>1940</td>\n      <td>1</td>\n      <td>A5</td>\n      <td>47715.8304</td>\n      <td>58036.9104</td>\n      <td>48081</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>37153 rows × 19 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 46
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set zero values to mean of non zero values\n",
    "df[\"YEAR BUILT\"].replace(0, df[df[\"YEAR BUILT\"] != 0][\"YEAR BUILT\"].mean(), inplace = True)\n",
    "df[\"GROSS SQUARE FEET\"].replace(0, df[df[\"GROSS SQUARE FEET\"] != 0][\"GROSS SQUARE FEET\"].mean(), inplace = True)\n",
    "df[\"LAND SQUARE FEET\"].replace(0, df[df[\"LAND SQUARE FEET\"] != 0][\"LAND SQUARE FEET\"].mean(), inplace = True)\n",
    "df[\"TOTAL UNITS\"].replace(0, df[df[\"TOTAL UNITS\"] != 0][\"TOTAL UNITS\"].mean(), inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# select variables for one-hot encoding\n",
    "categorical_features = [\"BOROUGH\", \"BUILDING CLASS CATEGORY\", \"TAX CLASS AT TIME OF SALE\", \"ZIP CODE\"]\n",
    "\n",
    "del df[\"BUILDING CLASS AT PRESENT\"]\n",
    "del df[\"TAX CLASS AT PRESENT\"]\n",
    "del df[\"BUILDING CLASS AT TIME OF SALE\"]\n",
    "\n",
    "# Too many features for location\n",
    "del df[\"BLOCK\"]\n",
    "del df[\"NEIGHBORHOOD\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\nIndex: 37153 entries, train0 to test9288\nData columns (total 238 columns):\n #   Column                                                                Non-Null Count  Dtype  \n---  ------                                                                --------------  -----  \n 0   RESIDENTIAL UNITS                                                     37153 non-null  int64  \n 1   COMMERCIAL UNITS                                                      37153 non-null  int64  \n 2   TOTAL UNITS                                                           37153 non-null  float64\n 3   LAND SQUARE FEET                                                      37153 non-null  float64\n 4   GROSS SQUARE FEET                                                     37153 non-null  float64\n 5   YEAR BUILT                                                            37153 non-null  float64\n 6   MEDIAN INCOME                                                         37153 non-null  float64\n 7   MEAN INCOME                                                           37153 non-null  float64\n 8   POPULATION                                                            37153 non-null  int64  \n 9   SALE PRICE                                                            27864 non-null  float64\n 10  BOROUGH_1                                                             37153 non-null  uint8  \n 11  BOROUGH_2                                                             37153 non-null  uint8  \n 12  BOROUGH_3                                                             37153 non-null  uint8  \n 13  BOROUGH_4                                                             37153 non-null  uint8  \n 14  BOROUGH_5                                                             37153 non-null  uint8  \n 15  BUILDING CLASS CATEGORY_01 ONE FAMILY DWELLINGS                       37153 non-null  uint8  \n 16  BUILDING CLASS CATEGORY_02 TWO FAMILY DWELLINGS                       37153 non-null  uint8  \n 17  BUILDING CLASS CATEGORY_03 THREE FAMILY DWELLINGS                     37153 non-null  uint8  \n 18  BUILDING CLASS CATEGORY_04 TAX CLASS 1 CONDOS                         37153 non-null  uint8  \n 19  BUILDING CLASS CATEGORY_05 TAX CLASS 1 VACANT LAND                    37153 non-null  uint8  \n 20  BUILDING CLASS CATEGORY_06 TAX CLASS 1 - OTHER                        37153 non-null  uint8  \n 21  BUILDING CLASS CATEGORY_07 RENTALS - WALKUP APARTMENTS                37153 non-null  uint8  \n 22  BUILDING CLASS CATEGORY_08 RENTALS - ELEVATOR APARTMENTS              37153 non-null  uint8  \n 23  BUILDING CLASS CATEGORY_09 COOPS - WALKUP APARTMENTS                  37153 non-null  uint8  \n 24  BUILDING CLASS CATEGORY_10 COOPS - ELEVATOR APARTMENTS                37153 non-null  uint8  \n 25  BUILDING CLASS CATEGORY_11 SPECIAL CONDO BILLING LOTS                 37153 non-null  uint8  \n 26  BUILDING CLASS CATEGORY_11A CONDO-RENTALS                             37153 non-null  uint8  \n 27  BUILDING CLASS CATEGORY_12 CONDOS - WALKUP APARTMENTS                 37153 non-null  uint8  \n 28  BUILDING CLASS CATEGORY_13 CONDOS - ELEVATOR APARTMENTS               37153 non-null  uint8  \n 29  BUILDING CLASS CATEGORY_14 RENTALS - 4-10 UNIT                        37153 non-null  uint8  \n 30  BUILDING CLASS CATEGORY_15 CONDOS - 2-10 UNIT RESIDENTIAL             37153 non-null  uint8  \n 31  BUILDING CLASS CATEGORY_16 CONDOS - 2-10 UNIT WITH COMMERCIAL UNIT    37153 non-null  uint8  \n 32  BUILDING CLASS CATEGORY_17 CONDO COOPS                                37153 non-null  uint8  \n 33  BUILDING CLASS CATEGORY_21 OFFICE BUILDINGS                           37153 non-null  uint8  \n 34  BUILDING CLASS CATEGORY_22 STORE BUILDINGS                            37153 non-null  uint8  \n 35  BUILDING CLASS CATEGORY_23 LOFT BUILDINGS                             37153 non-null  uint8  \n 36  BUILDING CLASS CATEGORY_25 LUXURY HOTELS                              37153 non-null  uint8  \n 37  BUILDING CLASS CATEGORY_26 OTHER HOTELS                               37153 non-null  uint8  \n 38  BUILDING CLASS CATEGORY_27 FACTORIES                                  37153 non-null  uint8  \n 39  BUILDING CLASS CATEGORY_28 COMMERCIAL CONDOS                          37153 non-null  uint8  \n 40  BUILDING CLASS CATEGORY_29 COMMERCIAL GARAGES                         37153 non-null  uint8  \n 41  BUILDING CLASS CATEGORY_30 WAREHOUSES                                 37153 non-null  uint8  \n 42  BUILDING CLASS CATEGORY_31 COMMERCIAL VACANT LAND                     37153 non-null  uint8  \n 43  BUILDING CLASS CATEGORY_32 HOSPITAL AND HEALTH FACILITIES             37153 non-null  uint8  \n 44  BUILDING CLASS CATEGORY_33 EDUCATIONAL FACILITIES                     37153 non-null  uint8  \n 45  BUILDING CLASS CATEGORY_34 THEATRES                                   37153 non-null  uint8  \n 46  BUILDING CLASS CATEGORY_35 INDOOR PUBLIC AND CULTURAL FACILITIES      37153 non-null  uint8  \n 47  BUILDING CLASS CATEGORY_36 OUTDOOR RECREATIONAL FACILITIES            37153 non-null  uint8  \n 48  BUILDING CLASS CATEGORY_37 RELIGIOUS FACILITIES                       37153 non-null  uint8  \n 49  BUILDING CLASS CATEGORY_38 ASYLUMS AND HOMES                          37153 non-null  uint8  \n 50  BUILDING CLASS CATEGORY_40 SELECTED GOVERNMENTAL FACILITIES           37153 non-null  uint8  \n 51  BUILDING CLASS CATEGORY_41 TAX CLASS 4 - OTHER                        37153 non-null  uint8  \n 52  BUILDING CLASS CATEGORY_42 CONDO CULTURAL/MEDICAL/EDUCATIONAL/ETC     37153 non-null  uint8  \n 53  BUILDING CLASS CATEGORY_43 CONDO OFFICE BUILDINGS                     37153 non-null  uint8  \n 54  BUILDING CLASS CATEGORY_44 CONDO PARKING                              37153 non-null  uint8  \n 55  BUILDING CLASS CATEGORY_45 CONDO HOTELS                               37153 non-null  uint8  \n 56  BUILDING CLASS CATEGORY_46 CONDO STORE BUILDINGS                      37153 non-null  uint8  \n 57  BUILDING CLASS CATEGORY_47 CONDO NON-BUSINESS STORAGE                 37153 non-null  uint8  \n 58  BUILDING CLASS CATEGORY_48 CONDO TERRACES/GARDENS/CABANAS             37153 non-null  uint8  \n 59  TAX CLASS AT TIME OF SALE_1                                           37153 non-null  uint8  \n 60  TAX CLASS AT TIME OF SALE_2                                           37153 non-null  uint8  \n 61  TAX CLASS AT TIME OF SALE_4                                           37153 non-null  uint8  \n 62  ZIP CODE_10001                                                        37153 non-null  uint8  \n 63  ZIP CODE_10002                                                        37153 non-null  uint8  \n 64  ZIP CODE_10003                                                        37153 non-null  uint8  \n 65  ZIP CODE_10004                                                        37153 non-null  uint8  \n 66  ZIP CODE_10005                                                        37153 non-null  uint8  \n 67  ZIP CODE_10006                                                        37153 non-null  uint8  \n 68  ZIP CODE_10007                                                        37153 non-null  uint8  \n 69  ZIP CODE_10009                                                        37153 non-null  uint8  \n 70  ZIP CODE_10010                                                        37153 non-null  uint8  \n 71  ZIP CODE_10011                                                        37153 non-null  uint8  \n 72  ZIP CODE_10012                                                        37153 non-null  uint8  \n 73  ZIP CODE_10013                                                        37153 non-null  uint8  \n 74  ZIP CODE_10014                                                        37153 non-null  uint8  \n 75  ZIP CODE_10016                                                        37153 non-null  uint8  \n 76  ZIP CODE_10017                                                        37153 non-null  uint8  \n 77  ZIP CODE_10018                                                        37153 non-null  uint8  \n 78  ZIP CODE_10019                                                        37153 non-null  uint8  \n 79  ZIP CODE_10021                                                        37153 non-null  uint8  \n 80  ZIP CODE_10022                                                        37153 non-null  uint8  \n 81  ZIP CODE_10023                                                        37153 non-null  uint8  \n 82  ZIP CODE_10024                                                        37153 non-null  uint8  \n 83  ZIP CODE_10025                                                        37153 non-null  uint8  \n 84  ZIP CODE_10026                                                        37153 non-null  uint8  \n 85  ZIP CODE_10027                                                        37153 non-null  uint8  \n 86  ZIP CODE_10028                                                        37153 non-null  uint8  \n 87  ZIP CODE_10029                                                        37153 non-null  uint8  \n 88  ZIP CODE_10030                                                        37153 non-null  uint8  \n 89  ZIP CODE_10031                                                        37153 non-null  uint8  \n 90  ZIP CODE_10032                                                        37153 non-null  uint8  \n 91  ZIP CODE_10033                                                        37153 non-null  uint8  \n 92  ZIP CODE_10034                                                        37153 non-null  uint8  \n 93  ZIP CODE_10035                                                        37153 non-null  uint8  \n 94  ZIP CODE_10036                                                        37153 non-null  uint8  \n 95  ZIP CODE_10037                                                        37153 non-null  uint8  \n 96  ZIP CODE_10038                                                        37153 non-null  uint8  \n 97  ZIP CODE_10039                                                        37153 non-null  uint8  \n 98  ZIP CODE_10040                                                        37153 non-null  uint8  \n 99  ZIP CODE_10044                                                        37153 non-null  uint8  \n 100 ZIP CODE_10065                                                        37153 non-null  uint8  \n 101 ZIP CODE_10075                                                        37153 non-null  uint8  \n 102 ZIP CODE_10128                                                        37153 non-null  uint8  \n 103 ZIP CODE_10301                                                        37153 non-null  uint8  \n 104 ZIP CODE_10302                                                        37153 non-null  uint8  \n 105 ZIP CODE_10303                                                        37153 non-null  uint8  \n 106 ZIP CODE_10304                                                        37153 non-null  uint8  \n 107 ZIP CODE_10305                                                        37153 non-null  uint8  \n 108 ZIP CODE_10306                                                        37153 non-null  uint8  \n 109 ZIP CODE_10307                                                        37153 non-null  uint8  \n 110 ZIP CODE_10308                                                        37153 non-null  uint8  \n 111 ZIP CODE_10309                                                        37153 non-null  uint8  \n 112 ZIP CODE_10310                                                        37153 non-null  uint8  \n 113 ZIP CODE_10312                                                        37153 non-null  uint8  \n 114 ZIP CODE_10314                                                        37153 non-null  uint8  \n 115 ZIP CODE_10451                                                        37153 non-null  uint8  \n 116 ZIP CODE_10452                                                        37153 non-null  uint8  \n 117 ZIP CODE_10453                                                        37153 non-null  uint8  \n 118 ZIP CODE_10454                                                        37153 non-null  uint8  \n 119 ZIP CODE_10455                                                        37153 non-null  uint8  \n 120 ZIP CODE_10456                                                        37153 non-null  uint8  \n 121 ZIP CODE_10457                                                        37153 non-null  uint8  \n 122 ZIP CODE_10458                                                        37153 non-null  uint8  \n 123 ZIP CODE_10459                                                        37153 non-null  uint8  \n 124 ZIP CODE_10460                                                        37153 non-null  uint8  \n 125 ZIP CODE_10461                                                        37153 non-null  uint8  \n 126 ZIP CODE_10462                                                        37153 non-null  uint8  \n 127 ZIP CODE_10463                                                        37153 non-null  uint8  \n 128 ZIP CODE_10464                                                        37153 non-null  uint8  \n 129 ZIP CODE_10465                                                        37153 non-null  uint8  \n 130 ZIP CODE_10466                                                        37153 non-null  uint8  \n 131 ZIP CODE_10467                                                        37153 non-null  uint8  \n 132 ZIP CODE_10468                                                        37153 non-null  uint8  \n 133 ZIP CODE_10469                                                        37153 non-null  uint8  \n 134 ZIP CODE_10470                                                        37153 non-null  uint8  \n 135 ZIP CODE_10471                                                        37153 non-null  uint8  \n 136 ZIP CODE_10472                                                        37153 non-null  uint8  \n 137 ZIP CODE_10473                                                        37153 non-null  uint8  \n 138 ZIP CODE_10474                                                        37153 non-null  uint8  \n 139 ZIP CODE_10475                                                        37153 non-null  uint8  \n 140 ZIP CODE_10803                                                        37153 non-null  uint8  \n 141 ZIP CODE_11001                                                        37153 non-null  uint8  \n 142 ZIP CODE_11004                                                        37153 non-null  uint8  \n 143 ZIP CODE_11005                                                        37153 non-null  uint8  \n 144 ZIP CODE_11040                                                        37153 non-null  uint8  \n 145 ZIP CODE_11101                                                        37153 non-null  uint8  \n 146 ZIP CODE_11102                                                        37153 non-null  uint8  \n 147 ZIP CODE_11103                                                        37153 non-null  uint8  \n 148 ZIP CODE_11104                                                        37153 non-null  uint8  \n 149 ZIP CODE_11105                                                        37153 non-null  uint8  \n 150 ZIP CODE_11106                                                        37153 non-null  uint8  \n 151 ZIP CODE_11201                                                        37153 non-null  uint8  \n 152 ZIP CODE_11203                                                        37153 non-null  uint8  \n 153 ZIP CODE_11204                                                        37153 non-null  uint8  \n 154 ZIP CODE_11205                                                        37153 non-null  uint8  \n 155 ZIP CODE_11206                                                        37153 non-null  uint8  \n 156 ZIP CODE_11207                                                        37153 non-null  uint8  \n 157 ZIP CODE_11208                                                        37153 non-null  uint8  \n 158 ZIP CODE_11209                                                        37153 non-null  uint8  \n 159 ZIP CODE_11210                                                        37153 non-null  uint8  \n 160 ZIP CODE_11211                                                        37153 non-null  uint8  \n 161 ZIP CODE_11212                                                        37153 non-null  uint8  \n 162 ZIP CODE_11213                                                        37153 non-null  uint8  \n 163 ZIP CODE_11214                                                        37153 non-null  uint8  \n 164 ZIP CODE_11215                                                        37153 non-null  uint8  \n 165 ZIP CODE_11216                                                        37153 non-null  uint8  \n 166 ZIP CODE_11217                                                        37153 non-null  uint8  \n 167 ZIP CODE_11218                                                        37153 non-null  uint8  \n 168 ZIP CODE_11219                                                        37153 non-null  uint8  \n 169 ZIP CODE_11220                                                        37153 non-null  uint8  \n 170 ZIP CODE_11221                                                        37153 non-null  uint8  \n 171 ZIP CODE_11222                                                        37153 non-null  uint8  \n 172 ZIP CODE_11223                                                        37153 non-null  uint8  \n 173 ZIP CODE_11224                                                        37153 non-null  uint8  \n 174 ZIP CODE_11225                                                        37153 non-null  uint8  \n 175 ZIP CODE_11226                                                        37153 non-null  uint8  \n 176 ZIP CODE_11228                                                        37153 non-null  uint8  \n 177 ZIP CODE_11229                                                        37153 non-null  uint8  \n 178 ZIP CODE_11230                                                        37153 non-null  uint8  \n 179 ZIP CODE_11231                                                        37153 non-null  uint8  \n 180 ZIP CODE_11232                                                        37153 non-null  uint8  \n 181 ZIP CODE_11233                                                        37153 non-null  uint8  \n 182 ZIP CODE_11234                                                        37153 non-null  uint8  \n 183 ZIP CODE_11235                                                        37153 non-null  uint8  \n 184 ZIP CODE_11236                                                        37153 non-null  uint8  \n 185 ZIP CODE_11237                                                        37153 non-null  uint8  \n 186 ZIP CODE_11238                                                        37153 non-null  uint8  \n 187 ZIP CODE_11239                                                        37153 non-null  uint8  \n 188 ZIP CODE_11354                                                        37153 non-null  uint8  \n 189 ZIP CODE_11355                                                        37153 non-null  uint8  \n 190 ZIP CODE_11356                                                        37153 non-null  uint8  \n 191 ZIP CODE_11357                                                        37153 non-null  uint8  \n 192 ZIP CODE_11358                                                        37153 non-null  uint8  \n 193 ZIP CODE_11360                                                        37153 non-null  uint8  \n 194 ZIP CODE_11361                                                        37153 non-null  uint8  \n 195 ZIP CODE_11362                                                        37153 non-null  uint8  \n 196 ZIP CODE_11363                                                        37153 non-null  uint8  \n 197 ZIP CODE_11364                                                        37153 non-null  uint8  \n 198 ZIP CODE_11365                                                        37153 non-null  uint8  \n 199 ZIP CODE_11366                                                        37153 non-null  uint8  \n 200 ZIP CODE_11367                                                        37153 non-null  uint8  \n 201 ZIP CODE_11368                                                        37153 non-null  uint8  \n 202 ZIP CODE_11369                                                        37153 non-null  uint8  \n 203 ZIP CODE_11370                                                        37153 non-null  uint8  \n 204 ZIP CODE_11372                                                        37153 non-null  uint8  \n 205 ZIP CODE_11373                                                        37153 non-null  uint8  \n 206 ZIP CODE_11374                                                        37153 non-null  uint8  \n 207 ZIP CODE_11375                                                        37153 non-null  uint8  \n 208 ZIP CODE_11377                                                        37153 non-null  uint8  \n 209 ZIP CODE_11378                                                        37153 non-null  uint8  \n 210 ZIP CODE_11379                                                        37153 non-null  uint8  \n 211 ZIP CODE_11385                                                        37153 non-null  uint8  \n 212 ZIP CODE_11411                                                        37153 non-null  uint8  \n 213 ZIP CODE_11412                                                        37153 non-null  uint8  \n 214 ZIP CODE_11413                                                        37153 non-null  uint8  \n 215 ZIP CODE_11414                                                        37153 non-null  uint8  \n 216 ZIP CODE_11415                                                        37153 non-null  uint8  \n 217 ZIP CODE_11416                                                        37153 non-null  uint8  \n 218 ZIP CODE_11417                                                        37153 non-null  uint8  \n 219 ZIP CODE_11418                                                        37153 non-null  uint8  \n 220 ZIP CODE_11419                                                        37153 non-null  uint8  \n 221 ZIP CODE_11420                                                        37153 non-null  uint8  \n 222 ZIP CODE_11421                                                        37153 non-null  uint8  \n 223 ZIP CODE_11422                                                        37153 non-null  uint8  \n 224 ZIP CODE_11423                                                        37153 non-null  uint8  \n 225 ZIP CODE_11426                                                        37153 non-null  uint8  \n 226 ZIP CODE_11427                                                        37153 non-null  uint8  \n 227 ZIP CODE_11428                                                        37153 non-null  uint8  \n 228 ZIP CODE_11429                                                        37153 non-null  uint8  \n 229 ZIP CODE_11432                                                        37153 non-null  uint8  \n 230 ZIP CODE_11433                                                        37153 non-null  uint8  \n 231 ZIP CODE_11434                                                        37153 non-null  uint8  \n 232 ZIP CODE_11435                                                        37153 non-null  uint8  \n 233 ZIP CODE_11436                                                        37153 non-null  uint8  \n 234 ZIP CODE_11691                                                        37153 non-null  uint8  \n 235 ZIP CODE_11692                                                        37153 non-null  uint8  \n 236 ZIP CODE_11693                                                        37153 non-null  uint8  \n 237 ZIP CODE_11694                                                        37153 non-null  uint8  \ndtypes: float64(7), int64(3), uint8(228)\nmemory usage: 11.2+ MB\n"
     ]
    }
   ],
   "source": [
    "# One-hot encoding\n",
    "df = pd.get_dummies(df, columns = categorical_features)\n",
    "df.info(verbose = True, memory_usage = True, null_counts = True)"
   ]
  },
  {
   "source": [
    "# Regression"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "9289"
      ]
     },
     "metadata": {},
     "execution_count": 52
    }
   ],
   "source": [
    "# Get the number of rows from the test data (should be 9289)\n",
    "\n",
    "test_row_count = X_test.shape[0]\n",
    "test_row_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split train and test data\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "y = df[\"SALE PRICE\"][:(df.shape[0] - test_row_count)]\n",
    "X = df[:(df.shape[0] - test_row_count)].drop(\"SALE PRICE\", 1)\n",
    "X_train, X_valid, y_train, y_valid = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Standard scaler\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(X_train)\n",
    "X_train_scaled = pd.DataFrame(scaler.transform(X_train), columns = X_train.columns)\n",
    "X_valid_scaled = pd.DataFrame(scaler.transform(X_valid), columns = X_valid.columns)\n",
    "\n",
    "# Scale test data\n",
    "X_test_new = df[(df.shape[0] - test_row_count):].drop(\"SALE PRICE\", 1)\n",
    "X_test_scaled = scaler.transform(X_test_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "# Root mean squared error\n",
    "def rmse(y_test,y_pred):\n",
    "      return np.sqrt(mean_squared_error(y_test,y_pred))"
   ]
  },
  {
   "source": [
    "X_train_scaled"
   ],
   "cell_type": "code",
   "metadata": {},
   "execution_count": 56,
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "       RESIDENTIAL UNITS  COMMERCIAL UNITS  TOTAL UNITS  LAND SQUARE FEET  \\\n",
       "0              -0.025686         -0.018189    -0.044837         -0.040520   \n",
       "1              -0.025686         -0.018189    -0.044837         -0.053999   \n",
       "2              -0.025686         -0.018189    -0.044837         -0.037504   \n",
       "3              -0.082816         -0.018189    -0.087568         -0.005387   \n",
       "4              -0.082816         -0.018189    -0.087568          0.035438   \n",
       "...                  ...               ...          ...               ...   \n",
       "22286          -0.082816         -0.018189    -0.087568          0.012238   \n",
       "22287          -0.025686         -0.018189    -0.044837          0.004814   \n",
       "22288          -0.025686         -0.018189    -0.044837         -0.036483   \n",
       "22289          -0.082816         -0.018189    -0.087568         -0.058524   \n",
       "22290          -0.139947         -0.018189     0.000795         -0.005387   \n",
       "\n",
       "       GROSS SQUARE FEET  YEAR BUILT  MEDIAN INCOME  MEAN INCOME  POPULATION  \\\n",
       "0              -0.085663   -0.625760      -0.008898    -0.151450   -0.748114   \n",
       "1              -0.055516    1.791247      -1.096713    -0.785802   -0.058692   \n",
       "2              -0.026001   -0.166834      -0.379404    -0.530598    0.559683   \n",
       "3              -0.002477   -1.237660       2.065168     2.926241   -0.307780   \n",
       "4              -0.120378   -0.319810       1.116384     0.880361   -0.024645   \n",
       "...                  ...         ...            ...          ...         ...   \n",
       "22286          -0.101412    0.292091      -0.502975    -0.185812   -0.790389   \n",
       "22287          -0.063511    0.751016       1.295465     0.838205    1.259948   \n",
       "22288          -0.059003    1.638272      -1.195691    -1.062789    1.235984   \n",
       "22289          -0.081064   -1.421231      -1.147966    -1.057842    1.347028   \n",
       "22290          -0.002477   -1.390636       0.996851     1.028809   -0.937546   \n",
       "\n",
       "       BOROUGH_1  BOROUGH_2  BOROUGH_3  BOROUGH_4  BOROUGH_5  \\\n",
       "0      -0.163301  -0.396172  -0.824042   1.529044  -0.393971   \n",
       "1      -0.163301  -0.396172  -0.824042   1.529044  -0.393971   \n",
       "2      -0.163301   2.524156  -0.824042  -0.654003  -0.393971   \n",
       "3      -0.163301  -0.396172   1.213531  -0.654003  -0.393971   \n",
       "4      -0.163301  -0.396172  -0.824042  -0.654003   2.538255   \n",
       "...          ...        ...        ...        ...        ...   \n",
       "22286  -0.163301  -0.396172  -0.824042  -0.654003   2.538255   \n",
       "22287  -0.163301  -0.396172  -0.824042  -0.654003   2.538255   \n",
       "22288  -0.163301  -0.396172   1.213531  -0.654003  -0.393971   \n",
       "22289  -0.163301  -0.396172   1.213531  -0.654003  -0.393971   \n",
       "22290  -0.163301  -0.396172   1.213531  -0.654003  -0.393971   \n",
       "\n",
       "       BUILDING CLASS CATEGORY_01 ONE FAMILY DWELLINGS                      \\\n",
       "0                                              -0.730485                     \n",
       "1                                              -0.730485                     \n",
       "2                                              -0.730485                     \n",
       "3                                              -0.730485                     \n",
       "4                                               1.368953                     \n",
       "...                                                  ...                     \n",
       "22286                                           1.368953                     \n",
       "22287                                          -0.730485                     \n",
       "22288                                          -0.730485                     \n",
       "22289                                           1.368953                     \n",
       "22290                                          -0.730485                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_02 TWO FAMILY DWELLINGS                      \\\n",
       "0                                               1.633615                     \n",
       "1                                               1.633615                     \n",
       "2                                               1.633615                     \n",
       "3                                              -0.612140                     \n",
       "4                                              -0.612140                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.612140                     \n",
       "22287                                           1.633615                     \n",
       "22288                                           1.633615                     \n",
       "22289                                          -0.612140                     \n",
       "22290                                          -0.612140                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_03 THREE FAMILY DWELLINGS                    \\\n",
       "0                                              -0.262503                     \n",
       "1                                              -0.262503                     \n",
       "2                                              -0.262503                     \n",
       "3                                              -0.262503                     \n",
       "4                                              -0.262503                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.262503                     \n",
       "22287                                          -0.262503                     \n",
       "22288                                          -0.262503                     \n",
       "22289                                          -0.262503                     \n",
       "22290                                          -0.262503                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_04 TAX CLASS 1 CONDOS                        \\\n",
       "0                                              -0.122583                     \n",
       "1                                              -0.122583                     \n",
       "2                                              -0.122583                     \n",
       "3                                              -0.122583                     \n",
       "4                                              -0.122583                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.122583                     \n",
       "22287                                          -0.122583                     \n",
       "22288                                          -0.122583                     \n",
       "22289                                          -0.122583                     \n",
       "22290                                          -0.122583                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_05 TAX CLASS 1 VACANT LAND                   \\\n",
       "0                                               -0.07138                     \n",
       "1                                               -0.07138                     \n",
       "2                                               -0.07138                     \n",
       "3                                               -0.07138                     \n",
       "4                                               -0.07138                     \n",
       "...                                                  ...                     \n",
       "22286                                           -0.07138                     \n",
       "22287                                           -0.07138                     \n",
       "22288                                           -0.07138                     \n",
       "22289                                           -0.07138                     \n",
       "22290                                           -0.07138                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_06 TAX CLASS 1 - OTHER                       \\\n",
       "0                                              -0.029967                     \n",
       "1                                              -0.029967                     \n",
       "2                                              -0.029967                     \n",
       "3                                              -0.029967                     \n",
       "4                                              -0.029967                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.029967                     \n",
       "22287                                          -0.029967                     \n",
       "22288                                          -0.029967                     \n",
       "22289                                          -0.029967                     \n",
       "22290                                          -0.029967                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_07 RENTALS - WALKUP APARTMENTS               \\\n",
       "0                                                 -0.223                     \n",
       "1                                                 -0.223                     \n",
       "2                                                 -0.223                     \n",
       "3                                                 -0.223                     \n",
       "4                                                 -0.223                     \n",
       "...                                                  ...                     \n",
       "22286                                             -0.223                     \n",
       "22287                                             -0.223                     \n",
       "22288                                             -0.223                     \n",
       "22289                                             -0.223                     \n",
       "22290                                             -0.223                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_08 RENTALS - ELEVATOR APARTMENTS             \\\n",
       "0                                              -0.075095                     \n",
       "1                                              -0.075095                     \n",
       "2                                              -0.075095                     \n",
       "3                                              -0.075095                     \n",
       "4                                              -0.075095                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.075095                     \n",
       "22287                                          -0.075095                     \n",
       "22288                                          -0.075095                     \n",
       "22289                                          -0.075095                     \n",
       "22290                                          -0.075095                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_09 COOPS - WALKUP APARTMENTS                 \\\n",
       "0                                              -0.117586                     \n",
       "1                                              -0.117586                     \n",
       "2                                              -0.117586                     \n",
       "3                                              -0.117586                     \n",
       "4                                              -0.117586                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.117586                     \n",
       "22287                                          -0.117586                     \n",
       "22288                                          -0.117586                     \n",
       "22289                                          -0.117586                     \n",
       "22290                                           8.504449                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_10 COOPS - ELEVATOR APARTMENTS               \\\n",
       "0                                              -0.286784                     \n",
       "1                                              -0.286784                     \n",
       "2                                              -0.286784                     \n",
       "3                                              -0.286784                     \n",
       "4                                              -0.286784                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.286784                     \n",
       "22287                                          -0.286784                     \n",
       "22288                                          -0.286784                     \n",
       "22289                                          -0.286784                     \n",
       "22290                                          -0.286784                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_11 SPECIAL CONDO BILLING LOTS                \\\n",
       "0                                              -0.006698                     \n",
       "1                                              -0.006698                     \n",
       "2                                              -0.006698                     \n",
       "3                                              -0.006698                     \n",
       "4                                              -0.006698                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.006698                     \n",
       "22287                                          -0.006698                     \n",
       "22288                                          -0.006698                     \n",
       "22289                                          -0.006698                     \n",
       "22290                                          -0.006698                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_11A CONDO-RENTALS                             \\\n",
       "0                                              -0.017724                      \n",
       "1                                              -0.017724                      \n",
       "2                                              -0.017724                      \n",
       "3                                              -0.017724                      \n",
       "4                                              -0.017724                      \n",
       "...                                                  ...                      \n",
       "22286                                          -0.017724                      \n",
       "22287                                          -0.017724                      \n",
       "22288                                          -0.017724                      \n",
       "22289                                          -0.017724                      \n",
       "22290                                          -0.017724                      \n",
       "\n",
       "       BUILDING CLASS CATEGORY_12 CONDOS - WALKUP APARTMENTS                \\\n",
       "0                                              -0.103222                     \n",
       "1                                              -0.103222                     \n",
       "2                                              -0.103222                     \n",
       "3                                              -0.103222                     \n",
       "4                                              -0.103222                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.103222                     \n",
       "22287                                          -0.103222                     \n",
       "22288                                          -0.103222                     \n",
       "22289                                          -0.103222                     \n",
       "22290                                          -0.103222                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_13 CONDOS - ELEVATOR APARTMENTS              \\\n",
       "0                                              -0.253001                     \n",
       "1                                              -0.253001                     \n",
       "2                                              -0.253001                     \n",
       "3                                               3.952552                     \n",
       "4                                              -0.253001                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.253001                     \n",
       "22287                                          -0.253001                     \n",
       "22288                                          -0.253001                     \n",
       "22289                                          -0.253001                     \n",
       "22290                                          -0.253001                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_14 RENTALS - 4-10 UNIT                       \\\n",
       "0                                              -0.092473                     \n",
       "1                                              -0.092473                     \n",
       "2                                              -0.092473                     \n",
       "3                                              -0.092473                     \n",
       "4                                              -0.092473                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.092473                     \n",
       "22287                                          -0.092473                     \n",
       "22288                                          -0.092473                     \n",
       "22289                                          -0.092473                     \n",
       "22290                                          -0.092473                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_15 CONDOS - 2-10 UNIT RESIDENTIAL            \\\n",
       "0                                              -0.143376                     \n",
       "1                                              -0.143376                     \n",
       "2                                              -0.143376                     \n",
       "3                                              -0.143376                     \n",
       "4                                              -0.143376                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.143376                     \n",
       "22287                                          -0.143376                     \n",
       "22288                                          -0.143376                     \n",
       "22289                                          -0.143376                     \n",
       "22290                                          -0.143376                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_16 CONDOS - 2-10 UNIT WITH COMMERCIAL UNIT   \\\n",
       "0                                              -0.020098                     \n",
       "1                                              -0.020098                     \n",
       "2                                              -0.020098                     \n",
       "3                                              -0.020098                     \n",
       "4                                              -0.020098                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.020098                     \n",
       "22287                                          -0.020098                     \n",
       "22288                                          -0.020098                     \n",
       "22289                                          -0.020098                     \n",
       "22290                                          -0.020098                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_17 CONDO COOPS                               \\\n",
       "0                                              -0.033508                     \n",
       "1                                              -0.033508                     \n",
       "2                                              -0.033508                     \n",
       "3                                              -0.033508                     \n",
       "4                                              -0.033508                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.033508                     \n",
       "22287                                          -0.033508                     \n",
       "22288                                          -0.033508                     \n",
       "22289                                          -0.033508                     \n",
       "22290                                          -0.033508                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_21 OFFICE BUILDINGS                          \\\n",
       "0                                              -0.078059                     \n",
       "1                                              -0.078059                     \n",
       "2                                              -0.078059                     \n",
       "3                                              -0.078059                     \n",
       "4                                              -0.078059                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.078059                     \n",
       "22287                                          -0.078059                     \n",
       "22288                                          -0.078059                     \n",
       "22289                                          -0.078059                     \n",
       "22290                                          -0.078059                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_22 STORE BUILDINGS                           \\\n",
       "0                                              -0.112174                     \n",
       "1                                              -0.112174                     \n",
       "2                                              -0.112174                     \n",
       "3                                              -0.112174                     \n",
       "4                                              -0.112174                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.112174                     \n",
       "22287                                          -0.112174                     \n",
       "22288                                          -0.112174                     \n",
       "22289                                          -0.112174                     \n",
       "22290                                          -0.112174                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_23 LOFT BUILDINGS                            \\\n",
       "0                                              -0.025069                     \n",
       "1                                              -0.025069                     \n",
       "2                                              -0.025069                     \n",
       "3                                              -0.025069                     \n",
       "4                                              -0.025069                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.025069                     \n",
       "22287                                          -0.025069                     \n",
       "22288                                          -0.025069                     \n",
       "22289                                          -0.025069                     \n",
       "22290                                          -0.025069                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_25 LUXURY HOTELS                             \\\n",
       "0                                              -0.013397                     \n",
       "1                                              -0.013397                     \n",
       "2                                              -0.013397                     \n",
       "3                                              -0.013397                     \n",
       "4                                              -0.013397                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.013397                     \n",
       "22287                                          -0.013397                     \n",
       "22288                                          -0.013397                     \n",
       "22289                                          -0.013397                     \n",
       "22290                                          -0.013397                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_26 OTHER HOTELS                              \\\n",
       "0                                               -0.04022                     \n",
       "1                                               -0.04022                     \n",
       "2                                               -0.04022                     \n",
       "3                                               -0.04022                     \n",
       "4                                               -0.04022                     \n",
       "...                                                  ...                     \n",
       "22286                                           -0.04022                     \n",
       "22287                                           -0.04022                     \n",
       "22288                                           -0.04022                     \n",
       "22289                                           -0.04022                     \n",
       "22290                                           -0.04022                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_27 FACTORIES                                 \\\n",
       "0                                              -0.054079                     \n",
       "1                                              -0.054079                     \n",
       "2                                              -0.054079                     \n",
       "3                                              -0.054079                     \n",
       "4                                              -0.054079                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.054079                     \n",
       "22287                                          -0.054079                     \n",
       "22288                                          -0.054079                     \n",
       "22289                                          -0.054079                     \n",
       "22290                                          -0.054079                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_28 COMMERCIAL CONDOS                         \\\n",
       "0                                              -0.011602                     \n",
       "1                                              -0.011602                     \n",
       "2                                              -0.011602                     \n",
       "3                                              -0.011602                     \n",
       "4                                              -0.011602                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.011602                     \n",
       "22287                                          -0.011602                     \n",
       "22288                                          -0.011602                     \n",
       "22289                                          -0.011602                     \n",
       "22290                                          -0.011602                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_29 COMMERCIAL GARAGES                        \\\n",
       "0                                              -0.083407                     \n",
       "1                                              -0.083407                     \n",
       "2                                              -0.083407                     \n",
       "3                                              -0.083407                     \n",
       "4                                              -0.083407                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.083407                     \n",
       "22287                                          -0.083407                     \n",
       "22288                                          -0.083407                     \n",
       "22289                                          -0.083407                     \n",
       "22290                                          -0.083407                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_30 WAREHOUSES                                \\\n",
       "0                                              -0.069775                     \n",
       "1                                              -0.069775                     \n",
       "2                                              -0.069775                     \n",
       "3                                              -0.069775                     \n",
       "4                                              -0.069775                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.069775                     \n",
       "22287                                          -0.069775                     \n",
       "22288                                          -0.069775                     \n",
       "22289                                          -0.069775                     \n",
       "22290                                          -0.069775                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_31 COMMERCIAL VACANT LAND                    \\\n",
       "0                                              -0.046454                     \n",
       "1                                              -0.046454                     \n",
       "2                                              -0.046454                     \n",
       "3                                              -0.046454                     \n",
       "4                                              -0.046454                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.046454                     \n",
       "22287                                          -0.046454                     \n",
       "22288                                          -0.046454                     \n",
       "22289                                          -0.046454                     \n",
       "22290                                          -0.046454                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_32 HOSPITAL AND HEALTH FACILITIES            \\\n",
       "0                                              -0.025949                     \n",
       "1                                              -0.025949                     \n",
       "2                                              -0.025949                     \n",
       "3                                              -0.025949                     \n",
       "4                                              -0.025949                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.025949                     \n",
       "22287                                          -0.025949                     \n",
       "22288                                          -0.025949                     \n",
       "22289                                          -0.025949                     \n",
       "22290                                          -0.025949                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_33 EDUCATIONAL FACILITIES                    \\\n",
       "0                                              -0.025069                     \n",
       "1                                              -0.025069                     \n",
       "2                                              -0.025069                     \n",
       "3                                              -0.025069                     \n",
       "4                                              -0.025069                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.025069                     \n",
       "22287                                          -0.025069                     \n",
       "22288                                          -0.025069                     \n",
       "22289                                          -0.025069                     \n",
       "22290                                          -0.025069                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_34 THEATRES                                  \\\n",
       "0                                              -0.011602                     \n",
       "1                                              -0.011602                     \n",
       "2                                              -0.011602                     \n",
       "3                                              -0.011602                     \n",
       "4                                              -0.011602                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.011602                     \n",
       "22287                                          -0.011602                     \n",
       "22288                                          -0.011602                     \n",
       "22289                                          -0.011602                     \n",
       "22290                                          -0.011602                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_35 INDOOR PUBLIC AND CULTURAL FACILITIES     \\\n",
       "0                                              -0.020098                     \n",
       "1                                              -0.020098                     \n",
       "2                                              -0.020098                     \n",
       "3                                              -0.020098                     \n",
       "4                                              -0.020098                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.020098                     \n",
       "22287                                          -0.020098                     \n",
       "22288                                          -0.020098                     \n",
       "22289                                          -0.020098                     \n",
       "22290                                          -0.020098                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_36 OUTDOOR RECREATIONAL FACILITIES           \\\n",
       "0                                              -0.009473                     \n",
       "1                                              -0.009473                     \n",
       "2                                              -0.009473                     \n",
       "3                                              -0.009473                     \n",
       "4                                              -0.009473                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.009473                     \n",
       "22287                                          -0.009473                     \n",
       "22288                                          -0.009473                     \n",
       "22289                                          -0.009473                     \n",
       "22290                                          -0.009473                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_37 RELIGIOUS FACILITIES                      \\\n",
       "0                                               -0.04022                     \n",
       "1                                               -0.04022                     \n",
       "2                                               -0.04022                     \n",
       "3                                               -0.04022                     \n",
       "4                                               -0.04022                     \n",
       "...                                                  ...                     \n",
       "22286                                           -0.04022                     \n",
       "22287                                           -0.04022                     \n",
       "22288                                           -0.04022                     \n",
       "22289                                           -0.04022                     \n",
       "22290                                           -0.04022                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_38 ASYLUMS AND HOMES                         \\\n",
       "0                                              -0.023208                     \n",
       "1                                              -0.023208                     \n",
       "2                                              -0.023208                     \n",
       "3                                              -0.023208                     \n",
       "4                                              -0.023208                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.023208                     \n",
       "22287                                          -0.023208                     \n",
       "22288                                          -0.023208                     \n",
       "22289                                          -0.023208                     \n",
       "22290                                          -0.023208                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_40 SELECTED GOVERNMENTAL FACILITIES          \\\n",
       "0                                              -0.009473                     \n",
       "1                                              -0.009473                     \n",
       "2                                              -0.009473                     \n",
       "3                                              -0.009473                     \n",
       "4                                              -0.009473                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.009473                     \n",
       "22287                                          -0.009473                     \n",
       "22288                                          -0.009473                     \n",
       "22289                                          -0.009473                     \n",
       "22290                                          -0.009473                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_41 TAX CLASS 4 - OTHER                       \\\n",
       "0                                              -0.029208                     \n",
       "1                                              -0.029208                     \n",
       "2                                              -0.029208                     \n",
       "3                                              -0.029208                     \n",
       "4                                              -0.029208                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.029208                     \n",
       "22287                                          -0.029208                     \n",
       "22288                                          -0.029208                     \n",
       "22289                                          -0.029208                     \n",
       "22290                                          -0.029208                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_42 CONDO CULTURAL/MEDICAL/EDUCATIONAL/ETC    \\\n",
       "0                                              -0.006698                     \n",
       "1                                              -0.006698                     \n",
       "2                                              -0.006698                     \n",
       "3                                              -0.006698                     \n",
       "4                                              -0.006698                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.006698                     \n",
       "22287                                          -0.006698                     \n",
       "22288                                          -0.006698                     \n",
       "22289                                          -0.006698                     \n",
       "22290                                          -0.006698                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_43 CONDO OFFICE BUILDINGS                    \\\n",
       "0                                              -0.029967                     \n",
       "1                                              -0.029967                     \n",
       "2                                              -0.029967                     \n",
       "3                                              -0.029967                     \n",
       "4                                              -0.029967                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.029967                     \n",
       "22287                                          -0.029967                     \n",
       "22288                                          -0.029967                     \n",
       "22289                                          -0.029967                     \n",
       "22290                                          -0.029967                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_44 CONDO PARKING                             \\\n",
       "0                                              -0.068795                     \n",
       "1                                              -0.068795                     \n",
       "2                                              -0.068795                     \n",
       "3                                              -0.068795                     \n",
       "4                                              -0.068795                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.068795                     \n",
       "22287                                          -0.068795                     \n",
       "22288                                          -0.068795                     \n",
       "22289                                          -0.068795                     \n",
       "22290                                          -0.068795                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_45 CONDO HOTELS                              \\\n",
       "0                                              -0.009473                     \n",
       "1                                              -0.009473                     \n",
       "2                                              -0.009473                     \n",
       "3                                              -0.009473                     \n",
       "4                                              -0.009473                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.009473                     \n",
       "22287                                          -0.009473                     \n",
       "22288                                          -0.009473                     \n",
       "22289                                          -0.009473                     \n",
       "22290                                          -0.009473                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_46 CONDO STORE BUILDINGS                     \\\n",
       "0                                              -0.025069                     \n",
       "1                                              -0.025069                     \n",
       "2                                              -0.025069                     \n",
       "3                                              -0.025069                     \n",
       "4                                              -0.025069                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.025069                     \n",
       "22287                                          -0.025069                     \n",
       "22288                                          -0.025069                     \n",
       "22289                                          -0.025069                     \n",
       "22290                                          -0.025069                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_47 CONDO NON-BUSINESS STORAGE                \\\n",
       "0                                              -0.030708                     \n",
       "1                                              -0.030708                     \n",
       "2                                              -0.030708                     \n",
       "3                                              -0.030708                     \n",
       "4                                              -0.030708                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.030708                     \n",
       "22287                                          -0.030708                     \n",
       "22288                                          -0.030708                     \n",
       "22289                                          -0.030708                     \n",
       "22290                                          -0.030708                     \n",
       "\n",
       "       BUILDING CLASS CATEGORY_48 CONDO TERRACES/GARDENS/CABANAS            \\\n",
       "0                                              -0.014979                     \n",
       "1                                              -0.014979                     \n",
       "2                                              -0.014979                     \n",
       "3                                              -0.014979                     \n",
       "4                                              -0.014979                     \n",
       "...                                                  ...                     \n",
       "22286                                          -0.014979                     \n",
       "22287                                          -0.014979                     \n",
       "22288                                          -0.014979                     \n",
       "22289                                          -0.014979                     \n",
       "22290                                          -0.014979                     \n",
       "\n",
       "       TAX CLASS AT TIME OF SALE_1  TAX CLASS AT TIME OF SALE_2  \\\n",
       "0                         0.645694                    -0.567835   \n",
       "1                         0.645694                    -0.567835   \n",
       "2                         0.645694                    -0.567835   \n",
       "3                        -1.548721                     1.761074   \n",
       "4                         0.645694                    -0.567835   \n",
       "...                            ...                          ...   \n",
       "22286                     0.645694                    -0.567835   \n",
       "22287                     0.645694                    -0.567835   \n",
       "22288                     0.645694                    -0.567835   \n",
       "22289                     0.645694                    -0.567835   \n",
       "22290                    -1.548721                     1.761074   \n",
       "\n",
       "       TAX CLASS AT TIME OF SALE_4  ZIP CODE_10001  ZIP CODE_10002  \\\n",
       "0                        -0.230438       -0.023208       -0.032138   \n",
       "1                        -0.230438       -0.023208       -0.032138   \n",
       "2                        -0.230438       -0.023208       -0.032138   \n",
       "3                        -0.230438       -0.023208       -0.032138   \n",
       "4                        -0.230438       -0.023208       -0.032138   \n",
       "...                            ...             ...             ...   \n",
       "22286                    -0.230438       -0.023208       -0.032138   \n",
       "22287                    -0.230438       -0.023208       -0.032138   \n",
       "22288                    -0.230438       -0.023208       -0.032138   \n",
       "22289                    -0.230438       -0.023208       -0.032138   \n",
       "22290                    -0.230438       -0.023208       -0.032138   \n",
       "\n",
       "       ZIP CODE_10003  ZIP CODE_10004  ZIP CODE_10005  ZIP CODE_10006  \\\n",
       "0           -0.029967       -0.006698       -0.011602             0.0   \n",
       "1           -0.029967       -0.006698       -0.011602             0.0   \n",
       "2           -0.029967       -0.006698       -0.011602             0.0   \n",
       "3           -0.029967       -0.006698       -0.011602             0.0   \n",
       "4           -0.029967       -0.006698       -0.011602             0.0   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.029967       -0.006698       -0.011602             0.0   \n",
       "22287       -0.029967       -0.006698       -0.011602             0.0   \n",
       "22288       -0.029967       -0.006698       -0.011602             0.0   \n",
       "22289       -0.029967       -0.006698       -0.011602             0.0   \n",
       "22290       -0.029967       -0.006698       -0.011602             0.0   \n",
       "\n",
       "       ZIP CODE_10007  ZIP CODE_10009  ZIP CODE_10010  ZIP CODE_10011  \\\n",
       "0           -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "1           -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "2           -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "3           -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "4           -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "22287       -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "22288       -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "22289       -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "22290       -0.006698       -0.018948       -0.020098       -0.036092   \n",
       "\n",
       "       ZIP CODE_10012  ZIP CODE_10013  ZIP CODE_10014  ZIP CODE_10016  \\\n",
       "0           -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "1           -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "2           -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "3           -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "4           -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "22287       -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "22288       -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "22289       -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "22290       -0.020098       -0.026801       -0.031431       -0.029208   \n",
       "\n",
       "       ZIP CODE_10017  ZIP CODE_10018  ZIP CODE_10019  ZIP CODE_10021  \\\n",
       "0           -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "1           -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "2           -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "3           -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "4           -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "22287       -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "22288       -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "22289       -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "22290       -0.014979       -0.014979       -0.037318       -0.027626   \n",
       "\n",
       "       ZIP CODE_10022  ZIP CODE_10023  ZIP CODE_10024  ZIP CODE_10025  \\\n",
       "0           -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "1           -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "2           -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "3           -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "4           -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "22287       -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "22288       -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "22289       -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "22290       -0.024156       -0.018948       -0.029208       -0.030708   \n",
       "\n",
       "       ZIP CODE_10026  ZIP CODE_10027  ZIP CODE_10028  ZIP CODE_10029  \\\n",
       "0           -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "1           -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "2           -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "3           -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "4           -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "22287       -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "22288       -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "22289       -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "22290       -0.026801       -0.032138       -0.025949       -0.044976   \n",
       "\n",
       "       ZIP CODE_10030  ZIP CODE_10031  ZIP CODE_10032  ZIP CODE_10033  \\\n",
       "0           -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "1           -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "2           -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "3           -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "4           -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "22287       -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "22288       -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "22289       -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "22290       -0.025949       -0.039085       -0.027626       -0.023208   \n",
       "\n",
       "       ZIP CODE_10034  ZIP CODE_10035  ZIP CODE_10036  ZIP CODE_10037  \\\n",
       "0           -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "1           -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "2           -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "3           -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "4           -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "22287       -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "22288       -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "22289       -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "22290       -0.018948       -0.038505        -0.02222       -0.018948   \n",
       "\n",
       "       ZIP CODE_10038  ZIP CODE_10039  ZIP CODE_10040  ZIP CODE_10044  \\\n",
       "0           -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "1           -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "2           -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "3           -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "4           -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "22287       -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "22288       -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "22289       -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "22290       -0.013397       -0.014979       -0.009473       -0.006698   \n",
       "\n",
       "       ZIP CODE_10065  ZIP CODE_10075  ZIP CODE_10128  ZIP CODE_10301  \\\n",
       "0           -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "1           -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "2           -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "3           -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "4           -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "22287       -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "22288       -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "22289       -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "22290       -0.020098       -0.017724       -0.029967       -0.090226   \n",
       "\n",
       "       ZIP CODE_10302  ZIP CODE_10303  ZIP CODE_10304  ZIP CODE_10305  \\\n",
       "0           -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "1           -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "2           -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "3           -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "4           -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.075397       -0.080635        9.525361       -0.110105   \n",
       "22287       -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "22288       -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "22289       -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "22290       -0.075397       -0.080635       -0.104983       -0.110105   \n",
       "\n",
       "       ZIP CODE_10306  ZIP CODE_10307  ZIP CODE_10308  ZIP CODE_10309  \\\n",
       "0           -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "1           -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "2           -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "3           -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "4            7.483998       -0.071062       -0.093942       -0.102554   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "22287       -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "22288       -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "22289       -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "22290       -0.133618       -0.071062       -0.093942       -0.102554   \n",
       "\n",
       "       ZIP CODE_10310  ZIP CODE_10312  ZIP CODE_10314  ZIP CODE_10451  \\\n",
       "0           -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "1           -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "2           -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "3           -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "4           -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "22287       -0.082032        -0.14305        6.541690        -0.05849   \n",
       "22288       -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "22289       -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "22290       -0.082032        -0.14305       -0.152866        -0.05849   \n",
       "\n",
       "       ZIP CODE_10452  ZIP CODE_10453  ZIP CODE_10454  ZIP CODE_10455  \\\n",
       "0           -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "1           -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "2           -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "3           -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "4           -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "22287       -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "22288       -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "22289       -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "22290       -0.042399       -0.047887       -0.041324       -0.036092   \n",
       "\n",
       "       ZIP CODE_10456  ZIP CODE_10457  ZIP CODE_10458  ZIP CODE_10459  \\\n",
       "0            -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "1            -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "2            -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "3            -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "4            -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "...               ...             ...             ...             ...   \n",
       "22286        -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "22287        -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "22288        -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "22289        -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "22290        -0.06367       -0.067129       -0.062233       -0.060015   \n",
       "\n",
       "       ZIP CODE_10460  ZIP CODE_10461  ZIP CODE_10462  ZIP CODE_10463  \\\n",
       "0           -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "1           -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "2           -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "3           -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "4           -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "22287       -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "22288       -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "22289       -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "22290       -0.063314        -0.08921       -0.116403       -0.114005   \n",
       "\n",
       "       ZIP CODE_10464  ZIP CODE_10465  ZIP CODE_10466  ZIP CODE_10467  \\\n",
       "0           -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "1           -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "2           -0.043963       -0.100524        9.389569        -0.09515   \n",
       "3           -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "4           -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "22287       -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "22288       -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "22289       -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "22290       -0.043963       -0.100524       -0.106501        -0.09515   \n",
       "\n",
       "       ZIP CODE_10468  ZIP CODE_10469  ZIP CODE_10470  ZIP CODE_10471  \\\n",
       "0            -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "1            -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "2            -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "3            -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "4            -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "...               ...             ...             ...             ...   \n",
       "22286        -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "22287        -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "22288        -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "22289        -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "22290        -0.05366       -0.109687       -0.055316       -0.084759   \n",
       "\n",
       "       ZIP CODE_10472  ZIP CODE_10473  ZIP CODE_10474  ZIP CODE_10475  \\\n",
       "0           -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "1           -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "2           -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "3           -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "4           -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "22287       -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "22288       -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "22289       -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "22290       -0.071697       -0.084491        -0.03671       -0.025069   \n",
       "\n",
       "       ZIP CODE_10803  ZIP CODE_11001  ZIP CODE_11004  ZIP CODE_11005  \\\n",
       "0                 0.0       -0.033508       -0.047887       -0.006698   \n",
       "1                 0.0       -0.033508       -0.047887       -0.006698   \n",
       "2                 0.0       -0.033508       -0.047887       -0.006698   \n",
       "3                 0.0       -0.033508       -0.047887       -0.006698   \n",
       "4                 0.0       -0.033508       -0.047887       -0.006698   \n",
       "...               ...             ...             ...             ...   \n",
       "22286             0.0       -0.033508       -0.047887       -0.006698   \n",
       "22287             0.0       -0.033508       -0.047887       -0.006698   \n",
       "22288             0.0       -0.033508       -0.047887       -0.006698   \n",
       "22289             0.0       -0.033508       -0.047887       -0.006698   \n",
       "22290             0.0       -0.033508       -0.047887       -0.006698   \n",
       "\n",
       "       ZIP CODE_11040  ZIP CODE_11101  ZIP CODE_11102  ZIP CODE_11103  \\\n",
       "0           -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "1           -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "2           -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "3           -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "4           -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "22287       -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "22288       -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "22289       -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "22290       -0.025949       -0.042927        -0.04022       -0.051951   \n",
       "\n",
       "       ZIP CODE_11104  ZIP CODE_11105  ZIP CODE_11106  ZIP CODE_11201  \\\n",
       "0           -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "1           -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "2           -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "3           -0.032138       -0.054494       -0.044472        5.897465   \n",
       "4           -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "22287       -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "22288       -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "22289       -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "22290       -0.032138       -0.054494       -0.044472       -0.169564   \n",
       "\n",
       "       ZIP CODE_11203  ZIP CODE_11204  ZIP CODE_11205  ZIP CODE_11206  \\\n",
       "0           -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "1           -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "2           -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "3           -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "4           -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "22287       -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "22288       -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "22289       -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "22290       -0.105201       -0.100296       -0.090981       -0.086356   \n",
       "\n",
       "       ZIP CODE_11207  ZIP CODE_11208  ZIP CODE_11209  ZIP CODE_11210  \\\n",
       "0           -0.125011       -0.118951       -0.114408       -0.102106   \n",
       "1           -0.125011       -0.118951       -0.114408       -0.102106   \n",
       "2           -0.125011       -0.118951       -0.114408       -0.102106   \n",
       "3           -0.125011       -0.118951       -0.114408       -0.102106   \n",
       "4           -0.125011       -0.118951       -0.114408       -0.102106   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.125011       -0.118951       -0.114408       -0.102106   \n",
       "22287       -0.125011       -0.118951       -0.114408       -0.102106   \n",
       "22288       -0.125011        8.406857       -0.114408       -0.102106   \n",
       "22289        7.999271       -0.118951       -0.114408       -0.102106   \n",
       "22290       -0.125011       -0.118951       -0.114408       -0.102106   \n",
       "\n",
       "       ZIP CODE_11211  ZIP CODE_11212  ZIP CODE_11213  ZIP CODE_11214  \\\n",
       "0           -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "1           -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "2           -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "3           -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "4           -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "22287       -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "22288       -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "22289       -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "22290       -0.096343       -0.074489       -0.077767       -0.109477   \n",
       "\n",
       "       ZIP CODE_11215  ZIP CODE_11216  ZIP CODE_11217  ZIP CODE_11218  \\\n",
       "0           -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "1           -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "2           -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "3           -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "4           -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "22287       -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "22288       -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "22289       -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "22290       -0.136375       -0.101656       -0.097989        -0.11073   \n",
       "\n",
       "       ZIP CODE_11219  ZIP CODE_11220  ZIP CODE_11221  ZIP CODE_11222  \\\n",
       "0           -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "1           -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "2           -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "3           -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "4           -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "22287       -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "22288       -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "22289       -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "22290       -0.092473       -0.093699       -0.109057        -0.08921   \n",
       "\n",
       "       ZIP CODE_11223  ZIP CODE_11224  ZIP CODE_11225  ZIP CODE_11226  \\\n",
       "0           -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "1           -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "2           -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "3           -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "4           -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "22287       -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "22288       -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "22289       -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "22290       -0.100068       -0.078927       -0.074792       -0.094909   \n",
       "\n",
       "       ZIP CODE_11228  ZIP CODE_11229  ZIP CODE_11230  ZIP CODE_11231  \\\n",
       "0           -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "1           -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "2           -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "3           -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "4           -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "22287       -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "22288       -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "22289       -0.084491       -0.126667       -0.107146       -0.093455   \n",
       "22290       -0.084491       -0.126667       -0.107146       10.700346   \n",
       "\n",
       "       ZIP CODE_11232  ZIP CODE_11233  ZIP CODE_11234  ZIP CODE_11235  \\\n",
       "0            -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "1            -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "2            -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "3            -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "4            -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "...               ...             ...             ...             ...   \n",
       "22286        -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "22287        -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "22288        -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "22289        -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "22290        -0.05849       -0.100068       -0.147874        -0.14708   \n",
       "\n",
       "       ZIP CODE_11236  ZIP CODE_11237  ZIP CODE_11238  ZIP CODE_11239  \\\n",
       "0           -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "1           -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "2           -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "3           -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "4           -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "22287       -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "22288       -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "22289       -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "22290       -0.116996       -0.065075       -0.139749        -0.04022   \n",
       "\n",
       "       ZIP CODE_11354  ZIP CODE_11355  ZIP CODE_11356  ZIP CODE_11357  \\\n",
       "0           -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "1           -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "2           -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "3           -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "4           -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "22287       -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "22288       -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "22289       -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "22290       -0.057713       -0.080635       -0.083679        -0.09515   \n",
       "\n",
       "       ZIP CODE_11358  ZIP CODE_11360  ZIP CODE_11361  ZIP CODE_11362  \\\n",
       "0           -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "1           -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "2           -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "3           -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "4           -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "22287       -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "22288       -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "22289       -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "22290       -0.086619       -0.048355       -0.075397       -0.052812   \n",
       "\n",
       "       ZIP CODE_11363  ZIP CODE_11364  ZIP CODE_11365  ZIP CODE_11366  \\\n",
       "0           -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "1           -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "2           -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "3           -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "4           -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "22287       -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "22288       -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "22289       -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "22290       -0.037318        -0.07138       -0.077475       -0.060015   \n",
       "\n",
       "       ZIP CODE_11367  ZIP CODE_11368  ZIP CODE_11369  ZIP CODE_11370  \\\n",
       "0           -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "1           -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "2           -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "3           -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "4           -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "22287       -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "22288       -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "22289       -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "22290       -0.064727        -0.08921       -0.080353       -0.054079   \n",
       "\n",
       "       ZIP CODE_11372  ZIP CODE_11373  ZIP CODE_11374  ZIP CODE_11375  \\\n",
       "0           -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "1           -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "2           -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "3           -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "4           -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "22287       -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "22288       -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "22289       -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "22290       -0.039085        -0.06611       -0.048819       -0.070743   \n",
       "\n",
       "       ZIP CODE_11377  ZIP CODE_11378  ZIP CODE_11379  ZIP CODE_11385  \\\n",
       "0           -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "1           -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "2           -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "3           -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "4           -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "22287       -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "22288       -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "22289       -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "22290       -0.073261       -0.080635       -0.082585       -0.103885   \n",
       "\n",
       "       ZIP CODE_11411  ZIP CODE_11412  ZIP CODE_11413  ZIP CODE_11414  \\\n",
       "0           -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "1           -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "2           -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "3           -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "4           -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "22287       -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "22288       -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "22289       -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "22290       -0.070743       -0.103443       -0.109267       -0.073261   \n",
       "\n",
       "       ZIP CODE_11415  ZIP CODE_11416  ZIP CODE_11417  ZIP CODE_11418  \\\n",
       "0           -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "1           -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "2           -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "3           -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "4           -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "22287       -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "22288       -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "22289       -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "22290       -0.031431       -0.064024       -0.075697        -0.06945   \n",
       "\n",
       "       ZIP CODE_11419  ZIP CODE_11420  ZIP CODE_11421  ZIP CODE_11422  \\\n",
       "0           -0.080635       -0.102554       11.241759       -0.076591   \n",
       "1           -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "2           -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "3           -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "4           -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "22287       -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "22288       -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "22289       -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "22290       -0.080635       -0.102554       -0.088954       -0.076591   \n",
       "\n",
       "       ZIP CODE_11423  ZIP CODE_11426  ZIP CODE_11427  ZIP CODE_11428  \\\n",
       "0           -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "1           -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "2           -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "3           -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "4           -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "22287       -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "22288       -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "22289       -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "22290       -0.070422       -0.067129       -0.060015       -0.065767   \n",
       "\n",
       "       ZIP CODE_11429  ZIP CODE_11432  ZIP CODE_11433  ZIP CODE_11434  \\\n",
       "0           -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "1           -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "2           -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "3           -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "4           -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "22287       -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "22288       -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "22289       -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "22290       -0.075996        -0.08286       -0.092965       -0.121257   \n",
       "\n",
       "       ZIP CODE_11435  ZIP CODE_11436  ZIP CODE_11691  ZIP CODE_11692  \\\n",
       "0           -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "1           -0.073877       -0.078349       11.724053       -0.055316   \n",
       "2           -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "3           -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "4           -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "...               ...             ...             ...             ...   \n",
       "22286       -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "22287       -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "22288       -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "22289       -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "22290       -0.073877       -0.078349       -0.085295       -0.055316   \n",
       "\n",
       "       ZIP CODE_11693  ZIP CODE_11694  \n",
       "0           -0.047887       -0.060763  \n",
       "1           -0.047887       -0.060763  \n",
       "2           -0.047887       -0.060763  \n",
       "3           -0.047887       -0.060763  \n",
       "4           -0.047887       -0.060763  \n",
       "...               ...             ...  \n",
       "22286       -0.047887       -0.060763  \n",
       "22287       -0.047887       -0.060763  \n",
       "22288       -0.047887       -0.060763  \n",
       "22289       -0.047887       -0.060763  \n",
       "22290       -0.047887       -0.060763  \n",
       "\n",
       "[22291 rows x 237 columns]"
      ],
      "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>RESIDENTIAL UNITS</th>\n      <th>COMMERCIAL UNITS</th>\n      <th>TOTAL UNITS</th>\n      <th>LAND SQUARE FEET</th>\n      <th>GROSS SQUARE FEET</th>\n      <th>YEAR BUILT</th>\n      <th>MEDIAN INCOME</th>\n      <th>MEAN INCOME</th>\n      <th>POPULATION</th>\n      <th>BOROUGH_1</th>\n      <th>BOROUGH_2</th>\n      <th>BOROUGH_3</th>\n      <th>BOROUGH_4</th>\n      <th>BOROUGH_5</th>\n      <th>BUILDING CLASS CATEGORY_01 ONE FAMILY DWELLINGS</th>\n      <th>BUILDING CLASS CATEGORY_02 TWO FAMILY DWELLINGS</th>\n      <th>BUILDING CLASS CATEGORY_03 THREE FAMILY DWELLINGS</th>\n      <th>BUILDING CLASS CATEGORY_04 TAX CLASS 1 CONDOS</th>\n      <th>BUILDING CLASS CATEGORY_05 TAX CLASS 1 VACANT LAND</th>\n      <th>BUILDING CLASS CATEGORY_06 TAX CLASS 1 - OTHER</th>\n      <th>BUILDING CLASS CATEGORY_07 RENTALS - WALKUP APARTMENTS</th>\n      <th>BUILDING CLASS CATEGORY_08 RENTALS - ELEVATOR APARTMENTS</th>\n      <th>BUILDING CLASS CATEGORY_09 COOPS - WALKUP APARTMENTS</th>\n      <th>BUILDING CLASS CATEGORY_10 COOPS - ELEVATOR APARTMENTS</th>\n      <th>BUILDING CLASS CATEGORY_11 SPECIAL CONDO BILLING LOTS</th>\n      <th>BUILDING CLASS CATEGORY_11A CONDO-RENTALS</th>\n      <th>BUILDING CLASS CATEGORY_12 CONDOS - WALKUP APARTMENTS</th>\n      <th>BUILDING CLASS CATEGORY_13 CONDOS - ELEVATOR APARTMENTS</th>\n      <th>BUILDING CLASS CATEGORY_14 RENTALS - 4-10 UNIT</th>\n      <th>BUILDING CLASS CATEGORY_15 CONDOS - 2-10 UNIT RESIDENTIAL</th>\n      <th>BUILDING CLASS CATEGORY_16 CONDOS - 2-10 UNIT WITH COMMERCIAL UNIT</th>\n      <th>BUILDING CLASS CATEGORY_17 CONDO COOPS</th>\n      <th>BUILDING CLASS CATEGORY_21 OFFICE BUILDINGS</th>\n      <th>BUILDING CLASS CATEGORY_22 STORE BUILDINGS</th>\n      <th>BUILDING CLASS CATEGORY_23 LOFT BUILDINGS</th>\n      <th>BUILDING CLASS CATEGORY_25 LUXURY HOTELS</th>\n      <th>BUILDING CLASS CATEGORY_26 OTHER HOTELS</th>\n      <th>BUILDING CLASS CATEGORY_27 FACTORIES</th>\n      <th>BUILDING CLASS CATEGORY_28 COMMERCIAL CONDOS</th>\n      <th>BUILDING CLASS CATEGORY_29 COMMERCIAL GARAGES</th>\n      <th>BUILDING CLASS CATEGORY_30 WAREHOUSES</th>\n      <th>BUILDING CLASS CATEGORY_31 COMMERCIAL VACANT LAND</th>\n      <th>BUILDING CLASS CATEGORY_32 HOSPITAL AND HEALTH FACILITIES</th>\n      <th>BUILDING CLASS CATEGORY_33 EDUCATIONAL FACILITIES</th>\n      <th>BUILDING CLASS CATEGORY_34 THEATRES</th>\n      <th>BUILDING CLASS CATEGORY_35 INDOOR PUBLIC AND CULTURAL FACILITIES</th>\n      <th>BUILDING CLASS CATEGORY_36 OUTDOOR RECREATIONAL FACILITIES</th>\n      <th>BUILDING CLASS CATEGORY_37 RELIGIOUS FACILITIES</th>\n      <th>BUILDING CLASS CATEGORY_38 ASYLUMS AND HOMES</th>\n      <th>BUILDING CLASS CATEGORY_40 SELECTED GOVERNMENTAL FACILITIES</th>\n      <th>BUILDING CLASS CATEGORY_41 TAX CLASS 4 - OTHER</th>\n      <th>BUILDING CLASS CATEGORY_42 CONDO CULTURAL/MEDICAL/EDUCATIONAL/ETC</th>\n      <th>BUILDING CLASS CATEGORY_43 CONDO OFFICE BUILDINGS</th>\n      <th>BUILDING CLASS CATEGORY_44 CONDO PARKING</th>\n      <th>BUILDING CLASS CATEGORY_45 CONDO HOTELS</th>\n      <th>BUILDING CLASS CATEGORY_46 CONDO STORE BUILDINGS</th>\n      <th>BUILDING CLASS CATEGORY_47 CONDO NON-BUSINESS STORAGE</th>\n      <th>BUILDING CLASS CATEGORY_48 CONDO TERRACES/GARDENS/CABANAS</th>\n      <th>TAX CLASS AT TIME OF SALE_1</th>\n      <th>TAX CLASS AT TIME OF SALE_2</th>\n      <th>TAX CLASS AT TIME OF SALE_4</th>\n      <th>ZIP CODE_10001</th>\n      <th>ZIP CODE_10002</th>\n      <th>ZIP CODE_10003</th>\n      <th>ZIP CODE_10004</th>\n      <th>ZIP CODE_10005</th>\n      <th>ZIP CODE_10006</th>\n      <th>ZIP CODE_10007</th>\n      <th>ZIP CODE_10009</th>\n      <th>ZIP CODE_10010</th>\n      <th>ZIP CODE_10011</th>\n      <th>ZIP CODE_10012</th>\n      <th>ZIP CODE_10013</th>\n      <th>ZIP CODE_10014</th>\n      <th>ZIP CODE_10016</th>\n      <th>ZIP CODE_10017</th>\n      <th>ZIP CODE_10018</th>\n      <th>ZIP CODE_10019</th>\n      <th>ZIP CODE_10021</th>\n      <th>ZIP CODE_10022</th>\n      <th>ZIP CODE_10023</th>\n      <th>ZIP CODE_10024</th>\n      <th>ZIP CODE_10025</th>\n      <th>ZIP CODE_10026</th>\n      <th>ZIP CODE_10027</th>\n      <th>ZIP CODE_10028</th>\n      <th>ZIP CODE_10029</th>\n      <th>ZIP CODE_10030</th>\n      <th>ZIP CODE_10031</th>\n      <th>ZIP CODE_10032</th>\n      <th>ZIP CODE_10033</th>\n      <th>ZIP CODE_10034</th>\n      <th>ZIP CODE_10035</th>\n      <th>ZIP CODE_10036</th>\n      <th>ZIP CODE_10037</th>\n      <th>ZIP CODE_10038</th>\n      <th>ZIP CODE_10039</th>\n      <th>ZIP CODE_10040</th>\n      <th>ZIP CODE_10044</th>\n      <th>ZIP CODE_10065</th>\n      <th>ZIP CODE_10075</th>\n      <th>ZIP CODE_10128</th>\n      <th>ZIP CODE_10301</th>\n      <th>ZIP CODE_10302</th>\n      <th>ZIP CODE_10303</th>\n      <th>ZIP CODE_10304</th>\n      <th>ZIP CODE_10305</th>\n      <th>ZIP CODE_10306</th>\n      <th>ZIP CODE_10307</th>\n      <th>ZIP CODE_10308</th>\n      <th>ZIP CODE_10309</th>\n      <th>ZIP CODE_10310</th>\n      <th>ZIP CODE_10312</th>\n      <th>ZIP CODE_10314</th>\n      <th>ZIP CODE_10451</th>\n      <th>ZIP CODE_10452</th>\n      <th>ZIP CODE_10453</th>\n      <th>ZIP CODE_10454</th>\n      <th>ZIP CODE_10455</th>\n      <th>ZIP CODE_10456</th>\n      <th>ZIP CODE_10457</th>\n      <th>ZIP CODE_10458</th>\n      <th>ZIP CODE_10459</th>\n      <th>ZIP CODE_10460</th>\n      <th>ZIP CODE_10461</th>\n      <th>ZIP CODE_10462</th>\n      <th>ZIP CODE_10463</th>\n      <th>ZIP CODE_10464</th>\n      <th>ZIP CODE_10465</th>\n      <th>ZIP CODE_10466</th>\n      <th>ZIP CODE_10467</th>\n      <th>ZIP CODE_10468</th>\n      <th>ZIP CODE_10469</th>\n      <th>ZIP CODE_10470</th>\n      <th>ZIP CODE_10471</th>\n      <th>ZIP CODE_10472</th>\n      <th>ZIP CODE_10473</th>\n      <th>ZIP CODE_10474</th>\n      <th>ZIP CODE_10475</th>\n      <th>ZIP CODE_10803</th>\n      <th>ZIP CODE_11001</th>\n      <th>ZIP CODE_11004</th>\n      <th>ZIP CODE_11005</th>\n      <th>ZIP CODE_11040</th>\n      <th>ZIP CODE_11101</th>\n      <th>ZIP CODE_11102</th>\n      <th>ZIP CODE_11103</th>\n      <th>ZIP CODE_11104</th>\n      <th>ZIP CODE_11105</th>\n      <th>ZIP CODE_11106</th>\n      <th>ZIP CODE_11201</th>\n      <th>ZIP CODE_11203</th>\n      <th>ZIP CODE_11204</th>\n      <th>ZIP CODE_11205</th>\n      <th>ZIP CODE_11206</th>\n      <th>ZIP CODE_11207</th>\n      <th>ZIP CODE_11208</th>\n      <th>ZIP CODE_11209</th>\n      <th>ZIP CODE_11210</th>\n      <th>ZIP CODE_11211</th>\n      <th>ZIP CODE_11212</th>\n      <th>ZIP CODE_11213</th>\n      <th>ZIP CODE_11214</th>\n      <th>ZIP CODE_11215</th>\n      <th>ZIP CODE_11216</th>\n      <th>ZIP CODE_11217</th>\n      <th>ZIP CODE_11218</th>\n      <th>ZIP CODE_11219</th>\n      <th>ZIP CODE_11220</th>\n      <th>ZIP CODE_11221</th>\n      <th>ZIP CODE_11222</th>\n      <th>ZIP CODE_11223</th>\n      <th>ZIP CODE_11224</th>\n      <th>ZIP CODE_11225</th>\n      <th>ZIP CODE_11226</th>\n      <th>ZIP CODE_11228</th>\n      <th>ZIP CODE_11229</th>\n      <th>ZIP CODE_11230</th>\n      <th>ZIP CODE_11231</th>\n      <th>ZIP CODE_11232</th>\n      <th>ZIP CODE_11233</th>\n      <th>ZIP CODE_11234</th>\n      <th>ZIP CODE_11235</th>\n      <th>ZIP CODE_11236</th>\n      <th>ZIP CODE_11237</th>\n      <th>ZIP CODE_11238</th>\n      <th>ZIP CODE_11239</th>\n      <th>ZIP CODE_11354</th>\n      <th>ZIP CODE_11355</th>\n      <th>ZIP CODE_11356</th>\n      <th>ZIP CODE_11357</th>\n      <th>ZIP CODE_11358</th>\n      <th>ZIP CODE_11360</th>\n      <th>ZIP CODE_11361</th>\n      <th>ZIP CODE_11362</th>\n      <th>ZIP CODE_11363</th>\n      <th>ZIP CODE_11364</th>\n      <th>ZIP CODE_11365</th>\n      <th>ZIP CODE_11366</th>\n      <th>ZIP CODE_11367</th>\n      <th>ZIP CODE_11368</th>\n      <th>ZIP CODE_11369</th>\n      <th>ZIP CODE_11370</th>\n      <th>ZIP CODE_11372</th>\n      <th>ZIP CODE_11373</th>\n      <th>ZIP CODE_11374</th>\n      <th>ZIP CODE_11375</th>\n      <th>ZIP CODE_11377</th>\n      <th>ZIP CODE_11378</th>\n      <th>ZIP CODE_11379</th>\n      <th>ZIP CODE_11385</th>\n      <th>ZIP CODE_11411</th>\n      <th>ZIP CODE_11412</th>\n      <th>ZIP CODE_11413</th>\n      <th>ZIP CODE_11414</th>\n      <th>ZIP CODE_11415</th>\n      <th>ZIP CODE_11416</th>\n      <th>ZIP CODE_11417</th>\n      <th>ZIP CODE_11418</th>\n      <th>ZIP CODE_11419</th>\n      <th>ZIP CODE_11420</th>\n      <th>ZIP CODE_11421</th>\n      <th>ZIP CODE_11422</th>\n      <th>ZIP CODE_11423</th>\n      <th>ZIP CODE_11426</th>\n      <th>ZIP CODE_11427</th>\n      <th>ZIP CODE_11428</th>\n      <th>ZIP CODE_11429</th>\n      <th>ZIP CODE_11432</th>\n      <th>ZIP CODE_11433</th>\n      <th>ZIP CODE_11434</th>\n      <th>ZIP CODE_11435</th>\n      <th>ZIP CODE_11436</th>\n      <th>ZIP CODE_11691</th>\n      <th>ZIP CODE_11692</th>\n      <th>ZIP CODE_11693</th>\n      <th>ZIP CODE_11694</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>-0.025686</td>\n      <td>-0.018189</td>\n      <td>-0.044837</td>\n      <td>-0.040520</td>\n      <td>-0.085663</td>\n      <td>-0.625760</td>\n      <td>-0.008898</td>\n      <td>-0.151450</td>\n      <td>-0.748114</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>-0.824042</td>\n      <td>1.529044</td>\n      <td>-0.393971</td>\n      <td>-0.730485</td>\n      <td>1.633615</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>0.645694</td>\n      <td>-0.567835</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>11.241759</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>-0.025686</td>\n      <td>-0.018189</td>\n      <td>-0.044837</td>\n      <td>-0.053999</td>\n      <td>-0.055516</td>\n      <td>1.791247</td>\n      <td>-1.096713</td>\n      <td>-0.785802</td>\n      <td>-0.058692</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>-0.824042</td>\n      <td>1.529044</td>\n      <td>-0.393971</td>\n      <td>-0.730485</td>\n      <td>1.633615</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>0.645694</td>\n      <td>-0.567835</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>11.724053</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>-0.025686</td>\n      <td>-0.018189</td>\n      <td>-0.044837</td>\n      <td>-0.037504</td>\n      <td>-0.026001</td>\n      <td>-0.166834</td>\n      <td>-0.379404</td>\n      <td>-0.530598</td>\n      <td>0.559683</td>\n      <td>-0.163301</td>\n      <td>2.524156</td>\n      <td>-0.824042</td>\n      <td>-0.654003</td>\n      <td>-0.393971</td>\n      <td>-0.730485</td>\n      <td>1.633615</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>0.645694</td>\n      <td>-0.567835</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>9.389569</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-0.082816</td>\n      <td>-0.018189</td>\n      <td>-0.087568</td>\n      <td>-0.005387</td>\n      <td>-0.002477</td>\n      <td>-1.237660</td>\n      <td>2.065168</td>\n      <td>2.926241</td>\n      <td>-0.307780</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>1.213531</td>\n      <td>-0.654003</td>\n      <td>-0.393971</td>\n      <td>-0.730485</td>\n      <td>-0.612140</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>3.952552</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>-1.548721</td>\n      <td>1.761074</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>5.897465</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-0.082816</td>\n      <td>-0.018189</td>\n      <td>-0.087568</td>\n      <td>0.035438</td>\n      <td>-0.120378</td>\n      <td>-0.319810</td>\n      <td>1.116384</td>\n      <td>0.880361</td>\n      <td>-0.024645</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>-0.824042</td>\n      <td>-0.654003</td>\n      <td>2.538255</td>\n      <td>1.368953</td>\n      <td>-0.612140</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>0.645694</td>\n      <td>-0.567835</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>7.483998</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>22286</th>\n      <td>-0.082816</td>\n      <td>-0.018189</td>\n      <td>-0.087568</td>\n      <td>0.012238</td>\n      <td>-0.101412</td>\n      <td>0.292091</td>\n      <td>-0.502975</td>\n      <td>-0.185812</td>\n      <td>-0.790389</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>-0.824042</td>\n      <td>-0.654003</td>\n      <td>2.538255</td>\n      <td>1.368953</td>\n      <td>-0.612140</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>0.645694</td>\n      <td>-0.567835</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>9.525361</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>22287</th>\n      <td>-0.025686</td>\n      <td>-0.018189</td>\n      <td>-0.044837</td>\n      <td>0.004814</td>\n      <td>-0.063511</td>\n      <td>0.751016</td>\n      <td>1.295465</td>\n      <td>0.838205</td>\n      <td>1.259948</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>-0.824042</td>\n      <td>-0.654003</td>\n      <td>2.538255</td>\n      <td>-0.730485</td>\n      <td>1.633615</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>0.645694</td>\n      <td>-0.567835</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>6.541690</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>22288</th>\n      <td>-0.025686</td>\n      <td>-0.018189</td>\n      <td>-0.044837</td>\n      <td>-0.036483</td>\n      <td>-0.059003</td>\n      <td>1.638272</td>\n      <td>-1.195691</td>\n      <td>-1.062789</td>\n      <td>1.235984</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>1.213531</td>\n      <td>-0.654003</td>\n      <td>-0.393971</td>\n      <td>-0.730485</td>\n      <td>1.633615</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>0.645694</td>\n      <td>-0.567835</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>8.406857</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>22289</th>\n      <td>-0.082816</td>\n      <td>-0.018189</td>\n      <td>-0.087568</td>\n      <td>-0.058524</td>\n      <td>-0.081064</td>\n      <td>-1.421231</td>\n      <td>-1.147966</td>\n      <td>-1.057842</td>\n      <td>1.347028</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>1.213531</td>\n      <td>-0.654003</td>\n      <td>-0.393971</td>\n      <td>1.368953</td>\n      <td>-0.612140</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>-0.117586</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>0.645694</td>\n      <td>-0.567835</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>7.999271</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>-0.093455</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n    <tr>\n      <th>22290</th>\n      <td>-0.139947</td>\n      <td>-0.018189</td>\n      <td>0.000795</td>\n      <td>-0.005387</td>\n      <td>-0.002477</td>\n      <td>-1.390636</td>\n      <td>0.996851</td>\n      <td>1.028809</td>\n      <td>-0.937546</td>\n      <td>-0.163301</td>\n      <td>-0.396172</td>\n      <td>1.213531</td>\n      <td>-0.654003</td>\n      <td>-0.393971</td>\n      <td>-0.730485</td>\n      <td>-0.612140</td>\n      <td>-0.262503</td>\n      <td>-0.122583</td>\n      <td>-0.07138</td>\n      <td>-0.029967</td>\n      <td>-0.223</td>\n      <td>-0.075095</td>\n      <td>8.504449</td>\n      <td>-0.286784</td>\n      <td>-0.006698</td>\n      <td>-0.017724</td>\n      <td>-0.103222</td>\n      <td>-0.253001</td>\n      <td>-0.092473</td>\n      <td>-0.143376</td>\n      <td>-0.020098</td>\n      <td>-0.033508</td>\n      <td>-0.078059</td>\n      <td>-0.112174</td>\n      <td>-0.025069</td>\n      <td>-0.013397</td>\n      <td>-0.04022</td>\n      <td>-0.054079</td>\n      <td>-0.011602</td>\n      <td>-0.083407</td>\n      <td>-0.069775</td>\n      <td>-0.046454</td>\n      <td>-0.025949</td>\n      <td>-0.025069</td>\n      <td>-0.011602</td>\n      <td>-0.020098</td>\n      <td>-0.009473</td>\n      <td>-0.04022</td>\n      <td>-0.023208</td>\n      <td>-0.009473</td>\n      <td>-0.029208</td>\n      <td>-0.006698</td>\n      <td>-0.029967</td>\n      <td>-0.068795</td>\n      <td>-0.009473</td>\n      <td>-0.025069</td>\n      <td>-0.030708</td>\n      <td>-0.014979</td>\n      <td>-1.548721</td>\n      <td>1.761074</td>\n      <td>-0.230438</td>\n      <td>-0.023208</td>\n      <td>-0.032138</td>\n      <td>-0.029967</td>\n      <td>-0.006698</td>\n      <td>-0.011602</td>\n      <td>0.0</td>\n      <td>-0.006698</td>\n      <td>-0.018948</td>\n      <td>-0.020098</td>\n      <td>-0.036092</td>\n      <td>-0.020098</td>\n      <td>-0.026801</td>\n      <td>-0.031431</td>\n      <td>-0.029208</td>\n      <td>-0.014979</td>\n      <td>-0.014979</td>\n      <td>-0.037318</td>\n      <td>-0.027626</td>\n      <td>-0.024156</td>\n      <td>-0.018948</td>\n      <td>-0.029208</td>\n      <td>-0.030708</td>\n      <td>-0.026801</td>\n      <td>-0.032138</td>\n      <td>-0.025949</td>\n      <td>-0.044976</td>\n      <td>-0.025949</td>\n      <td>-0.039085</td>\n      <td>-0.027626</td>\n      <td>-0.023208</td>\n      <td>-0.018948</td>\n      <td>-0.038505</td>\n      <td>-0.02222</td>\n      <td>-0.018948</td>\n      <td>-0.013397</td>\n      <td>-0.014979</td>\n      <td>-0.009473</td>\n      <td>-0.006698</td>\n      <td>-0.020098</td>\n      <td>-0.017724</td>\n      <td>-0.029967</td>\n      <td>-0.090226</td>\n      <td>-0.075397</td>\n      <td>-0.080635</td>\n      <td>-0.104983</td>\n      <td>-0.110105</td>\n      <td>-0.133618</td>\n      <td>-0.071062</td>\n      <td>-0.093942</td>\n      <td>-0.102554</td>\n      <td>-0.082032</td>\n      <td>-0.14305</td>\n      <td>-0.152866</td>\n      <td>-0.05849</td>\n      <td>-0.042399</td>\n      <td>-0.047887</td>\n      <td>-0.041324</td>\n      <td>-0.036092</td>\n      <td>-0.06367</td>\n      <td>-0.067129</td>\n      <td>-0.062233</td>\n      <td>-0.060015</td>\n      <td>-0.063314</td>\n      <td>-0.08921</td>\n      <td>-0.116403</td>\n      <td>-0.114005</td>\n      <td>-0.043963</td>\n      <td>-0.100524</td>\n      <td>-0.106501</td>\n      <td>-0.09515</td>\n      <td>-0.05366</td>\n      <td>-0.109687</td>\n      <td>-0.055316</td>\n      <td>-0.084759</td>\n      <td>-0.071697</td>\n      <td>-0.084491</td>\n      <td>-0.03671</td>\n      <td>-0.025069</td>\n      <td>0.0</td>\n      <td>-0.033508</td>\n      <td>-0.047887</td>\n      <td>-0.006698</td>\n      <td>-0.025949</td>\n      <td>-0.042927</td>\n      <td>-0.04022</td>\n      <td>-0.051951</td>\n      <td>-0.032138</td>\n      <td>-0.054494</td>\n      <td>-0.044472</td>\n      <td>-0.169564</td>\n      <td>-0.105201</td>\n      <td>-0.100296</td>\n      <td>-0.090981</td>\n      <td>-0.086356</td>\n      <td>-0.125011</td>\n      <td>-0.118951</td>\n      <td>-0.114408</td>\n      <td>-0.102106</td>\n      <td>-0.096343</td>\n      <td>-0.074489</td>\n      <td>-0.077767</td>\n      <td>-0.109477</td>\n      <td>-0.136375</td>\n      <td>-0.101656</td>\n      <td>-0.097989</td>\n      <td>-0.11073</td>\n      <td>-0.092473</td>\n      <td>-0.093699</td>\n      <td>-0.109057</td>\n      <td>-0.08921</td>\n      <td>-0.100068</td>\n      <td>-0.078927</td>\n      <td>-0.074792</td>\n      <td>-0.094909</td>\n      <td>-0.084491</td>\n      <td>-0.126667</td>\n      <td>-0.107146</td>\n      <td>10.700346</td>\n      <td>-0.05849</td>\n      <td>-0.100068</td>\n      <td>-0.147874</td>\n      <td>-0.14708</td>\n      <td>-0.116996</td>\n      <td>-0.065075</td>\n      <td>-0.139749</td>\n      <td>-0.04022</td>\n      <td>-0.057713</td>\n      <td>-0.080635</td>\n      <td>-0.083679</td>\n      <td>-0.09515</td>\n      <td>-0.086619</td>\n      <td>-0.048355</td>\n      <td>-0.075397</td>\n      <td>-0.052812</td>\n      <td>-0.037318</td>\n      <td>-0.07138</td>\n      <td>-0.077475</td>\n      <td>-0.060015</td>\n      <td>-0.064727</td>\n      <td>-0.08921</td>\n      <td>-0.080353</td>\n      <td>-0.054079</td>\n      <td>-0.039085</td>\n      <td>-0.06611</td>\n      <td>-0.048819</td>\n      <td>-0.070743</td>\n      <td>-0.073261</td>\n      <td>-0.080635</td>\n      <td>-0.082585</td>\n      <td>-0.103885</td>\n      <td>-0.070743</td>\n      <td>-0.103443</td>\n      <td>-0.109267</td>\n      <td>-0.073261</td>\n      <td>-0.031431</td>\n      <td>-0.064024</td>\n      <td>-0.075697</td>\n      <td>-0.06945</td>\n      <td>-0.080635</td>\n      <td>-0.102554</td>\n      <td>-0.088954</td>\n      <td>-0.076591</td>\n      <td>-0.070422</td>\n      <td>-0.067129</td>\n      <td>-0.060015</td>\n      <td>-0.065767</td>\n      <td>-0.075996</td>\n      <td>-0.08286</td>\n      <td>-0.092965</td>\n      <td>-0.121257</td>\n      <td>-0.073877</td>\n      <td>-0.078349</td>\n      <td>-0.085295</td>\n      <td>-0.055316</td>\n      <td>-0.047887</td>\n      <td>-0.060763</td>\n    </tr>\n  </tbody>\n</table>\n<p>22291 rows × 237 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 56
    }
   ]
  },
  {
   "source": [
    "## Linear Regression"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "RMSE: 7871062.818733652\nR-squared score (training): 0.543\nR-squared score (test): 0.392\n"
     ]
    }
   ],
   "source": [
    "# linear regression\n",
    "linreg = linear_model.LinearRegression()\n",
    "linreg.fit(X_train_scaled, y_train)\n",
    "y_pred_lin = linreg.predict(X_valid_scaled)\n",
    "rmse(y_valid, y_pred_lin)\n",
    "print(\"RMSE: \" + str(rmse(y_valid, y_pred_lin)))\n",
    "print('R-squared score (training): {:.3f}'.format(linreg.score(X_train_scaled, y_train)))\n",
    "print('R-squared score (test): {:.3f}'.format(linreg.score(X_valid_scaled, y_valid)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Train for final output with both train and valid sets\n",
    "# linreg.fit(pd.concat([X_train_scaled, X_valid_scaled], axis = 0), pd.concat([y_train, y_valid], axis = 0))\n",
    "# print('R-squared score (training): {:.3f}'.format(linreg.score(pd.concat([X_train_scaled, X_valid_scaled], axis = 0), pd.concat([y_train, y_valid], axis = 0))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         SALE PRICE\n",
       "id                 \n",
       "test0  1.356331e+07\n",
       "test1  8.657089e+05\n",
       "test2  4.888769e+05\n",
       "test3  1.160621e+06\n",
       "test4  2.487725e+06"
      ],
      "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>SALE PRICE</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>test0</th>\n      <td>1.356331e+07</td>\n    </tr>\n    <tr>\n      <th>test1</th>\n      <td>8.657089e+05</td>\n    </tr>\n    <tr>\n      <th>test2</th>\n      <td>4.888769e+05</td>\n    </tr>\n    <tr>\n      <th>test3</th>\n      <td>1.160621e+06</td>\n    </tr>\n    <tr>\n      <th>test4</th>\n      <td>2.487725e+06</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 50
    }
   ],
   "source": [
    "linear_submission = pd.DataFrame(linreg.predict(X_test_scaled))\n",
    "linear_submission.index = X_test[\"id\"]\n",
    "linear_submission.columns = [\"SALE PRICE\"]\n",
    "linear_submission.to_csv(\"output/linear_submission.csv\")\n",
    "linear_submission.head()"
   ]
  },
  {
   "source": [
    "## LASSO Regression"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.optimize import minimize "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lasso regression\n",
    "def lasso(alpha, iterations = 50):\n",
    "    lasso_regr = linear_model.Lasso(alpha = alpha, max_iter = iterations)\n",
    "    lasso_regr.fit(X_train, y_train)\n",
    "    Y_pred_lasso = lasso_regr.predict(X_valid)\n",
    "    # return rmse(y_valid,Y_pred_lasso)     # this will overfit\n",
    "    return lasso_regr.score(X_train, y_train) + lasso_regr.score(X_valid, y_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "      fun: 0.4689144026425388\n",
       " hess_inv: array([[1]])\n",
       "      jac: array([-2.5331974e-07])\n",
       "  message: 'Optimization terminated successfully.'\n",
       "     nfev: 51\n",
       "      nit: 1\n",
       "     njev: 17\n",
       "   status: 0\n",
       "  success: True\n",
       "        x: array([31593.99999265])"
      ]
     },
     "metadata": {},
     "execution_count": 22
    }
   ],
   "source": [
    "# lasso_res = minimize(lasso, x0 = 10)\n",
    "# lasso_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "RMSE: 7957316.709942989\nR-squared score (training): 0.544\nR-squared score (test): 0.379\n"
     ]
    }
   ],
   "source": [
    "lasso_regr = linear_model.Lasso(alpha = 0.00099, max_iter = 5000)\n",
    "lasso_regr.fit(X_train_scaled, y_train)\n",
    "Y_pred_lasso = lasso_regr.predict(X_valid_scaled)\n",
    "print(\"RMSE: \" + str(rmse(y_valid, Y_pred_lasso)))\n",
    "print('R-squared score (training): {:.3f}'.format(lasso_regr.score(X_train_scaled, y_train)))\n",
    "print('R-squared score (test): {:.3f}'.format(lasso_regr.score(X_valid_scaled, y_valid)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "R-squared score (training): 0.539\n"
     ]
    }
   ],
   "source": [
    "# Train for final output with both train and valid sets\n",
    "lasso_regr.fit(pd.concat([X_train_scaled, X_valid_scaled], axis = 0), pd.concat([y_train, y_valid], axis = 0))\n",
    "print('R-squared score (training): {:.3f}'.format(lasso_regr.score(pd.concat([X_train_scaled, X_valid_scaled], axis = 0), pd.concat([y_train, y_valid], axis = 0))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         SALE PRICE\n",
       "id                 \n",
       "test0  1.389146e+07\n",
       "test1  8.039087e+05\n",
       "test2  4.505552e+05\n",
       "test3  1.249204e+06\n",
       "test4  2.620162e+06"
      ],
      "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>SALE PRICE</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>test0</th>\n      <td>1.389146e+07</td>\n    </tr>\n    <tr>\n      <th>test1</th>\n      <td>8.039087e+05</td>\n    </tr>\n    <tr>\n      <th>test2</th>\n      <td>4.505552e+05</td>\n    </tr>\n    <tr>\n      <th>test3</th>\n      <td>1.249204e+06</td>\n    </tr>\n    <tr>\n      <th>test4</th>\n      <td>2.620162e+06</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 61
    }
   ],
   "source": [
    "lasso_submission = pd.DataFrame(lasso_regr.predict(X_test_scaled))\n",
    "lasso_submission.index = X_test[\"id\"]\n",
    "lasso_submission.columns = [\"SALE PRICE\"]\n",
    "lasso_submission[lasso_submission[\"SALE PRICE\"] < 1000] = y_train.median()       # hard code set < 1000 to median\n",
    "lasso_submission.to_csv(\"output/lasso_submission.csv\")\n",
    "lasso_submission.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x206abd4eec8>"
      ]
     },
     "metadata": {},
     "execution_count": 62
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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116.496783 225.248847 \r\nL 116.529552 224.83924 \r\nL 116.562322 224.957621 \r\nL 116.595091 222.005861 \r\nL 116.66063 224.6017 \r\nL 116.758939 225.086372 \r\nL 116.791709 224.901464 \r\nL 116.890017 225.191337 \r\nL 116.922787 224.75767 \r\nL 116.988326 224.769091 \r\nL 117.053865 225.288934 \r\nL 117.086635 220.388816 \r\nL 117.152174 224.957621 \r\nL 117.184943 225.168972 \r\nL 117.217713 224.810645 \r\nL 117.250482 218.664074 \r\nL 117.283252 225.175063 \r\nL 117.316021 225.082297 \r\nL 117.348791 224.739928 \r\nL 117.41433 224.901965 \r\nL 117.4471 224.998759 \r\nL 117.479869 221.095836 \r\nL 117.545408 224.677732 \r\nL 117.610947 224.479534 \r\nL 117.676487 225.161617 \r\nL 117.709256 224.368634 \r\nL 117.742026 225.013571 \r\nL 117.774795 224.841149 \r\nL 117.807565 225.277453 \r\nL 117.840334 224.284821 \r\nL 117.905873 225.181916 \r\nL 117.971413 224.48896 \r\nL 118.004182 223.464792 \r\nL 118.069721 224.753422 \r\nL 118.102491 225.275432 \r\nL 118.16803 224.885199 \r\nL 118.233569 223.876771 \r\nL 118.266339 225.191691 \r\nL 118.331878 225.153773 \r\nL 118.364647 224.634573 \r\nL 118.462956 224.818728 \r\nL 118.495725 224.790869 \r\nL 118.528495 225.101371 \r\nL 118.561265 224.455022 \r\nL 118.594034 224.847446 \r\nL 118.626804 224.957621 \r\nL 118.659573 224.260472 \r\nL 118.725112 224.945814 \r\nL 118.757882 225.127645 \r\nL 118.790651 225.008414 \r\nL 118.823421 224.583182 \r\nL 118.88896 225.056384 \r\nL 119.020038 224.916225 \r\nL 119.118347 225.166644 \r\nL 119.151117 225.151527 \r\nL 119.183886 225.240494 \r\nL 119.216656 225.059266 \r\nL 119.249425 225.150912 \r\nL 119.314964 224.299468 \r\nL 119.347734 224.838342 \r\nL 119.380503 174.133485 \r\nL 119.413273 224.961786 \r\nL 119.446043 223.194722 \r\nL 119.478812 225.063104 \r\nL 119.577121 224.768896 \r\nL 119.60989 224.969789 \r\nL 119.64266 223.63126 \r\nL 119.675429 225.038173 \r\nL 119.708199 224.923445 \r\nL 119.773738 225.040963 \r\nL 119.806508 224.957621 \r\nL 119.904816 224.278321 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224.472921 \r\nL 122.133146 225.19228 \r\nL 122.165916 224.843314 \r\nL 122.231455 224.957621 \r\nL 122.264224 225.08987 \r\nL 122.296994 224.957621 \r\nL 122.329763 218.666727 \r\nL 122.395303 225.143733 \r\nL 122.55915 224.901034 \r\nL 122.59192 224.982066 \r\nL 122.624689 221.210826 \r\nL 122.690229 224.320559 \r\nL 122.755768 225.087371 \r\nL 122.788537 224.359752 \r\nL 122.854076 224.9054 \r\nL 122.919615 223.902409 \r\nL 122.952385 224.788737 \r\nL 122.985155 225.235556 \r\nL 123.083463 225.147099 \r\nL 123.116233 224.147696 \r\nL 123.181772 225.14571 \r\nL 123.280081 224.159531 \r\nL 123.31285 201.75762 \r\nL 123.34562 225.128674 \r\nL 123.378389 225.017552 \r\nL 123.411159 224.344157 \r\nL 123.443928 225.051164 \r\nL 123.509467 224.388095 \r\nL 123.607776 225.216676 \r\nL 123.640546 225.0149 \r\nL 123.706085 224.780384 \r\nL 123.738854 224.957621 \r\nL 123.771624 225.132307 \r\nL 123.804393 224.754858 \r\nL 123.837163 224.956951 \r\nL 123.869933 225.012951 \r\nL 123.902702 224.845137 \r\nL 123.935472 225.295467 \r\nL 123.968241 224.520373 \r\nL 124.001011 225.045585 \r\nL 124.06655 225.266533 \r\nL 124.09932 224.787466 \r\nL 124.164859 225.26588 \r\nL 124.230398 225.037647 \r\nL 124.263167 222.262128 \r\nL 124.328706 224.788594 \r\nL 124.394246 225.058302 \r\nL 124.459785 223.201899 \r\nL 124.558093 225.009469 \r\nL 124.590863 224.836341 \r\nL 124.656402 224.265686 \r\nL 124.689172 224.511281 \r\nL 124.721941 225.293239 \r\nL 124.754711 224.60743 \r\nL 124.82025 224.957621 \r\nL 124.853019 219.202971 \r\nL 124.918558 225.122593 \r\nL 124.951328 223.619644 \r\nL 124.984098 210.054767 \r\nL 125.016867 224.957621 \r\nL 125.049637 224.521833 \r\nL 125.180715 225.182503 \r\nL 125.213484 222.838473 \r\nL 125.279024 225.025303 \r\nL 125.311793 224.341233 \r\nL 125.377332 225.070411 \r\nL 125.410102 224.893801 \r\nL 125.475641 225.077617 \r\nL 125.50841 225.003643 \r\nL 125.54118 225.278369 \r\nL 125.606719 222.2386 \r\nL 125.639489 225.089252 \r\nL 125.672258 224.674997 \r\nL 125.770567 224.683107 \r\nL 125.934415 225.0704 \r\nL 125.999954 224.696305 \r\nL 126.032723 225.319329 \r\nL 126.098262 224.91926 \r\nL 126.163802 224.962452 \r\nL 126.196571 224.577683 \r\nL 126.26211 224.709912 \r\nL 126.29488 225.353165 \r\nL 126.360419 224.957621 \r\nL 126.491497 224.832115 \r\nL 126.524267 225.054344 \r\nL 126.589806 224.957621 \r\nL 126.622575 222.039403 \r\nL 126.655345 225.184004 \r\nL 126.688114 225.124551 \r\nL 126.720884 224.319128 \r\nL 126.786423 224.774928 \r\nL 126.819193 225.001628 \r\nL 126.851962 223.944463 \r\nL 126.917501 224.665509 \r\nL 126.950271 225.133957 \r\nL 126.98304 224.592914 \r\nL 127.04858 223.108292 \r\nL 127.081349 224.462179 \r\nL 127.114119 224.905894 \r\nL 127.146888 224.637512 \r\nL 127.179658 220.417891 \r\nL 127.212427 224.806672 \r\nL 127.245197 223.592978 \r\nL 127.277966 225.070563 \r\nL 127.376275 224.957621 \r\nL 127.474584 224.957621 \r\nL 127.507353 224.768168 \r\nL 127.572892 224.985206 \r\nL 127.638432 224.97836 \r\nL 127.703971 223.9927 \r\nL 127.73674 224.93048 \r\nL 127.76951 225.155059 \r\nL 127.802279 224.0983 \r\nL 127.867818 224.957621 \r\nL 127.900588 225.115687 \r\nL 127.933358 224.222778 \r\nL 127.998897 224.984206 \r\nL 128.064436 225.035548 \r\nL 128.129975 225.204596 \r\nL 128.162744 224.024157 \r\nL 128.195514 225.177826 \r\nL 128.293823 225.119935 \r\nL 128.326592 224.29012 \r\nL 128.392131 224.654069 \r\nL 128.424901 224.835491 \r\nL 128.45767 224.076744 \r\nL 128.52321 224.957621 \r\nL 128.555979 224.442248 \r\nL 128.588749 224.957621 \r\nL 128.654288 225.209681 \r\nL 128.719827 224.575492 \r\nL 128.752596 225.328522 \r\nL 128.785366 224.709138 \r\nL 128.818136 224.708135 \r\nL 128.916444 225.229053 \r\nL 128.949214 225.065289 \r\nL 128.981983 224.902055 \r\nL 129.080292 224.957621 \r\nL 129.113062 223.56891 \r\nL 129.178601 225.046718 \r\nL 129.342448 224.073346 \r\nL 129.473527 225.07999 \r\nL 129.506296 225.096539 \r\nL 129.604605 225.251592 \r\nL 129.637374 220.693956 \r\nL 129.702914 224.712033 \r\nL 129.768453 224.267249 \r\nL 129.801222 224.999853 \r\nL 129.833992 220.822229 \r\nL 129.899531 224.124627 \r\nL 130.030609 225.2509 \r\nL 130.063379 225.068075 \r\nL 130.096148 224.968478 \r\nL 130.128918 223.823509 \r\nL 130.194457 225.055843 \r\nL 130.227226 224.679999 \r\nL 130.259996 224.858347 \r\nL 130.292766 225.239079 \r\nL 130.325535 219.970383 \r\nL 130.391074 225.140218 \r\nL 130.522152 224.897661 \r\nL 130.620461 224.825061 \r\nL 130.653231 225.098763 \r\nL 130.686 224.704634 \r\nL 130.71877 225.098538 \r\nL 130.751539 225.274863 \r\nL 130.784309 223.702923 \r\nL 130.849848 224.957621 \r\nL 130.882618 224.970499 \r\nL 130.915387 221.499377 \r\nL 130.980926 224.957621 \r\nL 131.046465 224.990765 \r\nL 131.079235 223.571637 \r\nL 131.144774 224.9493 \r\nL 131.177544 224.91082 \r\nL 131.210313 225.192353 \r\nL 131.243083 224.331077 \r\nL 131.275852 217.689712 \r\nL 131.308622 225.303317 \r\nL 131.341391 224.847965 \r\nL 131.374161 223.568364 \r\nL 131.40693 225.074805 \r\nL 131.4397 223.785669 \r\nL 131.538009 224.957621 \r\nL 131.570778 224.42404 \r\nL 131.603548 224.953577 \r\nL 131.669087 225.262455 \r\nL 131.701857 224.957621 \r\nL 131.734626 224.962604 \r\nL 131.767396 220.040721 \r\nL 131.832935 224.625452 \r\nL 131.964013 225.086005 \r\nL 131.996783 224.999451 \r\nL 132.029552 215.700363 \r\nL 132.095091 225.159723 \r\nL 132.127861 225.017712 \r\nL 132.16063 225.074004 \r\nL 132.1934 221.419178 \r\nL 132.258939 224.978905 \r\nL 132.291709 225.020587 \r\nL 132.357248 224.233369 \r\nL 132.390017 225.039097 \r\nL 132.422787 224.576417 \r\nL 132.586635 225.13843 \r\nL 132.619404 223.991748 \r\nL 132.717713 224.304922 \r\nL 132.750482 225.10282 \r\nL 132.816021 224.506617 \r\nL 132.979869 225.198719 \r\nL 133.143717 224.490635 \r\nL 133.274795 225.119271 \r\nL 133.405873 224.285185 \r\nL 133.504182 225.121006 \r\nL 133.536952 224.882892 \r\nL 133.569721 225.081034 \r\nL 133.66803 222.36686 \r\nL 133.63526 225.128241 \r\nL 133.733569 224.144837 \r\nL 133.766339 225.245506 \r\nL 133.831878 224.84316 \r\nL 133.864647 224.491575 \r\nL 133.897417 225.076486 \r\nL 133.962956 216.909086 \r\nL 133.995725 223.56891 \r\nL 134.126804 225.019889 \r\nL 134.192343 224.809574 \r\nL 134.225112 225.204919 \r\nL 134.257882 224.538832 \r\nL 134.290651 224.857298 \r\nL 134.356191 225.186542 \r\nL 134.38896 225.173172 \r\nL 134.520038 224.35087 \r\nL 134.552808 225.27875 \r\nL 134.585577 223.56891 \r\nL 134.618347 225.049104 \r\nL 134.683886 225.134286 \r\nL 134.749425 222.286804 \r\nL 134.782195 225.062437 \r\nL 134.847734 225.04322 \r\nL 134.880503 223.429287 \r\nL 134.946043 225.283186 \r\nL 134.978812 225.132763 \r\nL 135.011582 224.233266 \r\nL 135.077121 225.049782 \r\nL 135.14266 225.170772 \r\nL 135.208199 224.957621 \r\nL 135.240969 215.050106 \r\nL 135.273738 225.247606 \r\nL 135.306508 225.007792 \r\nL 135.339277 224.773642 \r\nL 135.404816 225.05106 \r\nL 135.437586 225.15169 \r\nL 135.503125 225.198368 \r\nL 135.535895 223.427636 \r\nL 135.666973 225.145127 \r\nL 135.699742 224.770943 \r\nL 135.765281 224.957621 \r\nL 135.798051 224.932203 \r\nL 135.86359 224.974151 \r\nL 135.929129 224.275813 \r\nL 136.027438 225.063288 \r\nL 136.060207 224.989306 \r\nL 136.092977 224.355652 \r\nL 136.125747 225.093374 \r\nL 136.158516 224.545991 \r\nL 136.224055 225.316964 \r\nL 136.289594 225.21736 \r\nL 136.355133 224.801555 \r\nL 136.387903 225.0564 \r\nL 136.420673 221.015929 \r\nL 136.486212 225.015337 \r\nL 136.518981 224.221895 \r\nL 136.551751 225.055431 \r\nL 136.58452 224.957621 \r\nL 136.61729 225.150668 \r\nL 136.650059 224.897912 \r\nL 136.682829 224.340507 \r\nL 136.715599 224.946866 \r\nL 136.748368 225.195313 \r\nL 136.781138 224.871375 \r\nL 136.846677 225.146554 \r\nL 136.879446 224.599019 \r\nL 136.944985 225.074569 \r\nL 136.977755 217.36873 \r\nL 137.043294 224.957621 \r\nL 137.108833 225.197078 \r\nL 137.141603 224.901835 \r\nL 137.174372 223.622322 \r\nL 137.239911 224.957621 \r\nL 137.272681 224.530525 \r\nL 137.33822 224.557514 \r\nL 137.502068 225.259429 \r\nL 137.633146 223.665659 \r\nL 137.698685 224.966341 \r\nL 137.764224 224.677947 \r\nL 137.862533 225.244477 \r\nL 137.895303 224.101066 \r\nL 137.960842 224.772084 \r\nL 137.993611 224.590227 \r\nL 138.026381 224.659206 \r\nL 138.05915 225.224088 \r\nL 138.09192 224.558749 \r\nL 138.124689 224.102175 \r\nL 138.157459 225.043838 \r\nL 138.288537 224.792153 \r\nL 138.321307 222.710682 \r\nL 138.354076 225.002091 \r\nL 138.386846 224.957621 \r\nL 138.419615 225.064638 \r\nL 138.452385 224.833786 \r\nL 138.485155 224.797816 \r\nL 138.550694 225.252635 \r\nL 138.583463 222.861346 \r\nL 138.649002 225.109977 \r\nL 138.714541 225.128551 \r\nL 138.780081 224.333663 \r\nL 138.81285 225.098696 \r\nL 138.878389 224.913148 \r\nL 138.911159 224.542754 \r\nL 138.943928 225.137806 \r\nL 138.976698 224.798451 \r\nL 139.009467 225.122755 \r\nL 139.075007 224.866045 \r\nL 139.107776 218.778922 \r\nL 139.173315 223.795184 \r\nL 139.238854 225.117828 \r\nL 139.271624 224.542263 \r\nL 139.304393 220.646604 \r\nL 139.369933 225.037323 \r\nL 139.435472 225.251116 \r\nL 139.53378 222.852691 \r\nL 139.56655 224.670348 \r\nL 139.59932 224.715507 \r\nL 139.664859 224.705161 \r\nL 139.730398 225.172316 \r\nL 139.763167 224.92461 \r\nL 139.828706 225.002969 \r\nL 139.861476 225.126093 \r\nL 139.894246 224.933756 \r\nL 139.927015 224.935402 \r\nL 139.959785 225.251041 \r\nL 140.025324 224.957621 \r\nL 140.058093 224.569831 \r\nL 140.090863 225.205862 \r\nL 140.123632 224.957621 \r\nL 140.156402 224.985331 \r\nL 140.189172 224.722756 \r\nL 140.254711 219.159064 \r\nL 140.28748 224.571274 \r\nL 140.32025 225.213083 \r\nL 140.353019 223.670389 \r\nL 140.418558 224.824986 \r\nL 140.451328 225.091891 \r\nL 140.549637 225.143548 \r\nL 140.582406 207.315442 \r\nL 140.680715 225.164836 \r\nL 140.713484 224.80475 \r\nL 140.811793 223.901318 \r\nL 140.844563 224.392371 \r\nL 140.975641 224.957621 \r\nL 141.07395 221.836251 \r\nL 141.172258 225.11965 \r\nL 141.205028 224.957621 \r\nL 141.336106 218.78805 \r\nL 141.467184 225.174971 \r\nL 141.499954 225.152706 \r\nL 141.565493 224.870978 \r\nL 141.631032 224.956998 \r\nL 141.663802 225.055647 \r\nL 141.696571 222.913556 \r\nL 141.76211 224.667299 \r\nL 141.79488 225.022196 \r\nL 141.827649 223.902409 \r\nL 141.893188 225.35371 \r\nL 142.024267 224.957621 \r\nL 142.057036 224.979981 \r\nL 142.122575 224.783132 \r\nL 142.155345 224.942566 \r\nL 142.188114 214.893025 \r\nL 142.253654 225.134485 \r\nL 142.319193 224.022335 \r\nL 142.384732 224.287874 \r\nL 142.450271 225.165706 \r\nL 142.51581 224.957621 \r\nL 142.581349 224.993636 \r\nL 142.646888 224.606732 \r\nL 142.712427 224.859298 \r\nL 142.745197 224.491515 \r\nL 142.777966 224.992386 \r\nL 142.810736 224.772217 \r\nL 142.876275 225.06845 \r\nL 142.909045 225.051852 \r\nL 142.941814 214.995454 \r\nL 143.007353 225.308959 \r\nL 143.072892 223.882224 \r\nL 143.105662 225.016817 \r\nL 143.138432 225.306685 \r\nL 143.171201 225.293248 \r\nL 143.26951 221.134924 \r\nL 143.400588 225.0667 \r\nL 143.498897 224.759177 \r\nL 143.466127 225.142553 \r\nL 143.531666 224.810019 \r\nL 143.564436 224.957621 \r\nL 143.597205 223.228066 \r\nL 143.662744 225.327985 \r\nL 143.761053 224.957621 \r\nL 143.793823 225.291801 \r\nL 143.859362 225.025704 \r\nL 143.892131 224.316961 \r\nL 143.95767 224.924574 \r\nL 144.055979 225.087504 \r\nL 144.02321 224.757332 \r\nL 144.088749 225.006751 \r\nL 144.121518 224.57809 \r\nL 144.187057 225.093254 \r\nL 144.252596 224.84875 \r\nL 144.285366 225.325615 \r\nL 144.318136 224.538413 \r\nL 144.350905 225.198744 \r\nL 144.449214 224.519062 \r\nL 144.481983 224.667299 \r\nL 144.580292 225.101044 \r\nL 144.547522 224.477238 \r\nL 144.613062 224.957621 \r\nL 144.645831 224.676545 \r\nL 144.678601 224.957621 \r\nL 144.71137 222.51816 \r\nL 144.74414 225.178111 \r\nL 144.776909 224.673352 \r\nL 144.809679 224.6017 \r\nL 144.842448 224.925459 \r\nL 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225.113411 \r\nL 184.55915 215.904677 \r\nL 184.59192 225.143348 \r\nL 184.624689 224.653882 \r\nL 184.722998 225.238464 \r\nL 184.854076 224.571849 \r\nL 184.952385 225.048561 \r\nL 184.985155 224.982305 \r\nL 185.050694 223.889316 \r\nL 185.083463 224.879812 \r\nL 185.116233 225.261425 \r\nL 185.149002 224.533291 \r\nL 185.181772 225.113737 \r\nL 185.214541 224.992652 \r\nL 185.247311 218.369464 \r\nL 185.31285 225.167165 \r\nL 185.34562 224.418064 \r\nL 185.411159 225.314144 \r\nL 185.509467 224.957621 \r\nL 185.476698 225.348255 \r\nL 185.542237 225.024522 \r\nL 185.607776 225.177903 \r\nL 185.738854 224.276143 \r\nL 185.771624 224.880628 \r\nL 185.869933 225.169054 \r\nL 185.902702 218.312207 \r\nL 186.001011 225.044659 \r\nL 186.03378 225.000464 \r\nL 186.06655 224.034878 \r\nL 186.132089 225.132588 \r\nL 186.263167 224.667299 \r\nL 186.361476 225.162956 \r\nL 186.394246 224.936049 \r\nL 186.427015 225.130616 \r\nL 186.459785 224.81166 \r\nL 186.492554 224.773443 \r\nL 186.525324 224.840659 \r\nL 186.558093 224.957621 \r\nL 186.590863 224.938207 \r\nL 186.623632 223.553984 \r\nL 186.689172 225.133303 \r\nL 186.754711 225.204159 \r\nL 186.78748 223.581892 \r\nL 186.82025 225.158424 \r\nL 186.918558 224.600551 \r\nL 186.951328 224.625915 \r\nL 187.082406 225.199091 \r\nL 187.115176 224.459835 \r\nL 187.213484 224.573082 \r\nL 187.311793 224.858641 \r\nL 187.377332 225.190849 \r\nL 187.410102 224.997831 \r\nL 187.475641 223.622371 \r\nL 187.54118 224.334489 \r\nL 187.639489 225.188537 \r\nL 187.672258 224.770218 \r\nL 187.705028 224.688516 \r\nL 187.770567 225.132973 \r\nL 187.803336 224.577095 \r\nL 187.836106 224.957621 \r\nL 187.934415 225.233185 \r\nL 187.967184 224.477351 \r\nL 188.032723 224.659692 \r\nL 188.065493 225.123354 \r\nL 188.131032 224.862742 \r\nL 188.163802 219.720888 \r\nL 188.196571 225.211358 \r\nL 188.229341 224.78761 \r\nL 188.29488 225.237557 \r\nL 188.360419 224.957621 \r\nL 188.393188 225.223075 \r\nL 188.425958 225.036009 \r\nL 188.458728 224.621656 \r\nL 188.524267 224.788402 \r\nL 188.688114 225.254433 \r\nL 188.720884 224.842493 \r\nL 188.819193 224.957621 \r\nL 188.851962 224.858865 \r\nL 188.884732 224.984516 \r\nL 188.98304 225.166281 \r\nL 189.01581 225.021665 \r\nL 189.04858 221.655382 \r\nL 189.081349 225.237976 \r\nL 189.114119 224.659058 \r\nL 189.146888 225.033415 \r\nL 189.212427 225.016956 \r\nL 189.310736 224.080347 \r\nL 189.277966 225.283259 \r\nL 189.376275 224.400338 \r\nL 189.409045 224.170896 \r\nL 189.507353 225.219696 \r\nL 189.540123 220.760919 \r\nL 189.605662 224.957621 \r\nL 189.638432 225.151458 \r\nL 189.671201 223.685652 \r\nL 189.73674 225.001427 \r\nL 189.76951 225.016255 \r\nL 189.867818 221.453202 \r\nL 189.966127 225.151157 \r\nL 189.998897 224.873 \r\nL 190.031666 225.139472 \r\nL 190.097205 224.957621 \r\nL 190.162744 223.56891 \r\nL 190.195514 225.096935 \r\nL 190.261053 225.173383 \r\nL 190.326592 224.772916 \r\nL 190.359362 219.450385 \r\nL 190.392131 225.111832 \r\nL 190.424901 224.208756 \r\nL 190.45767 224.038974 \r\nL 190.49044 225.14848 \r\nL 190.52321 220.019788 \r\nL 190.588749 225.046615 \r\nL 190.687057 223.820073 \r\nL 190.654288 225.142679 \r\nL 190.719827 224.880628 \r\nL 190.752596 225.064269 \r\nL 190.785366 224.667299 \r\nL 190.818136 224.253023 \r\nL 190.850905 224.826147 \r\nL 190.916444 224.957621 \r\nL 190.949214 220.002437 \r\nL 190.981983 225.050966 \r\nL 191.014753 224.939088 \r\nL 191.047522 225.19261 \r\nL 191.080292 224.866516 \r\nL 191.145831 223.381123 \r\nL 191.178601 224.617741 \r\nL 191.276909 225.0803 \r\nL 191.309679 224.957621 \r\nL 191.342448 224.957621 \r\nL 191.440757 225.31585 \r\nL 191.473527 225.06894 \r\nL 191.506296 224.526769 \r\nL 191.571835 225.036717 \r\nL 191.702914 224.615288 \r\nL 191.735683 224.659543 \r\nL 191.768453 225.152794 \r\nL 191.801222 216.777642 \r\nL 191.833992 225.197716 \r\nL 191.866761 224.799524 \r\nL 191.899531 224.211321 \r\nL 191.9323 225.107251 \r\nL 191.96507 225.279189 \r\nL 192.096148 221.059528 \r\nL 192.128918 225.042889 \r\nL 192.227226 225.03994 \r\nL 192.292766 224.957621 \r\nL 192.325535 225.352074 \r\nL 192.358305 224.916988 \r\nL 192.423844 225.208938 \r\nL 192.456613 224.17774 \r\nL 192.522152 224.9966 \r\nL 192.554922 224.887331 \r\nL 192.587692 225.342628 \r\nL 192.653231 224.783352 \r\nL 192.686 224.629117 \r\nL 192.71877 225.118711 \r\nL 192.784309 224.879369 \r\nL 192.817078 222.327442 \r\nL 192.882618 225.118871 \r\nL 192.915387 224.475024 \r\nL 193.013696 224.705283 \r\nL 193.046465 224.687312 \r\nL 193.210313 225.135313 \r\nL 193.243083 224.266864 \r\nL 193.308622 224.764474 \r\nL 193.341391 224.854296 \r\nL 193.374161 224.000179 \r\nL 193.40693 224.957621 \r\nL 193.4397 224.929882 \r\nL 193.47247 224.957621 \r\nL 193.538009 224.564249 \r\nL 193.570778 224.982807 \r\nL 193.603548 224.767721 \r\nL 193.734626 224.957621 \r\nL 193.800165 224.537351 \r\nL 193.832935 224.627126 \r\nL 193.964013 225.073742 \r\nL 193.996783 225.00362 \r\nL 194.029552 225.076011 \r\nL 194.062322 224.22541 \r\nL 194.127861 224.454776 \r\nL 194.16063 224.667299 \r\nL 194.1934 223.56891 \r\nL 194.226169 225.214855 \r\nL 194.258939 224.957236 \r\nL 194.291709 224.852106 \r\nL 194.324478 221.605394 \r\nL 194.357248 224.957621 \r\nL 194.390017 224.093987 \r\nL 194.455556 225.089194 \r\nL 194.488326 223.649879 \r\nL 194.521095 225.344592 \r\nL 194.553865 225.004167 \r\nL 194.619404 224.772421 \r\nL 194.652174 225.044528 \r\nL 194.717713 223.429287 \r\nL 194.750482 224.586287 \r\nL 194.783252 225.283516 \r\nL 194.848791 224.469534 \r\nL 194.91433 225.095063 \r\nL 194.9471 224.867712 \r\nL 194.979869 224.724579 \r\nL 195.045408 225.217648 \r\nL 195.078178 224.957621 \r\nL 195.110947 223.661463 \r\nL 195.143717 224.984301 \r\nL 195.176487 224.704516 \r\nL 195.209256 225.144998 \r\nL 195.242026 224.511161 \r\nL 195.274795 225.04998 \r\nL 195.307565 224.870103 \r\nL 195.340334 224.957621 \r\nL 195.373104 225.296002 \r\nL 195.405873 225.061909 \r\nL 195.504182 223.976388 \r\nL 195.536952 224.563171 \r\nL 195.569721 225.205256 \r\nL 195.602491 222.285854 \r\nL 195.66803 225.132527 \r\nL 195.700799 225.138236 \r\nL 195.799108 224.296662 \r\nL 195.831878 225.271125 \r\nL 195.930186 225.080216 \r\nL 196.061265 223.795327 \r\nL 196.159573 224.957621 \r\nL 196.192343 224.6017 \r\nL 196.225112 223.605817 \r\nL 196.257882 225.136863 \r\nL 196.323421 224.954094 \r\nL 196.356191 222.025789 \r\nL 196.38896 225.058199 \r\nL 196.42173 224.830207 \r\nL 196.520038 225.173971 \r\nL 196.552808 224.87291 \r\nL 196.618347 225.238011 \r\nL 196.651117 225.197102 \r\nL 196.749425 222.172163 \r\nL 196.847734 225.079352 \r\nL 196.880503 224.759711 \r\nL 196.913273 225.227565 \r\nL 196.978812 224.957621 \r\nL 197.011582 223.829109 \r\nL 197.077121 224.027171 \r\nL 197.14266 223.675101 \r\nL 197.175429 225.174312 \r\nL 197.208199 223.56891 \r\nL 197.240969 225.339991 \r\nL 197.273738 224.625418 \r\nL 197.306508 224.579564 \r\nL 197.372047 225.137246 \r\nL 197.404816 225.014558 \r\nL 197.437586 224.060502 \r\nL 197.503125 225.292325 \r\nL 197.634203 224.44251 \r\nL 197.666973 224.901743 \r\nL 197.732512 224.860222 \r\nL 197.765281 215.945266 \r\nL 197.830821 223.572183 \r\nL 197.929129 225.16359 \r\nL 197.961899 224.92779 \r\nL 197.994668 224.957621 \r\nL 198.027438 225.249396 \r\nL 198.060207 224.889484 \r\nL 198.092977 224.723169 \r\nL 198.125747 224.957621 \r\nL 198.158516 224.849153 \r\nL 198.191286 224.890973 \r\nL 198.289594 225.205733 \r\nL 198.322364 223.884553 \r\nL 198.355133 225.282491 \r\nL 198.420673 223.789146 \r\nL 198.453442 225.010105 \r\nL 198.486212 219.960409 \r\nL 198.518981 225.156653 \r\nL 198.551751 224.890409 \r\nL 198.58452 224.898216 \r\nL 198.61729 225.226862 \r\nL 198.682829 224.803177 \r\nL 198.715599 220.11884 \r\nL 198.781138 225.09456 \r\nL 198.813907 225.214676 \r\nL 198.846677 220.725684 \r\nL 198.912216 224.629117 \r\nL 198.944985 224.650236 \r\nL 199.010525 225.16467 \r\nL 199.043294 224.420099 \r\nL 199.076064 225.116966 \r\nL 199.108833 219.830294 \r\nL 199.174372 224.744939 \r\nL 199.207142 224.694167 \r\nL 199.239911 224.965448 \r\nL 199.272681 222.293983 \r\nL 199.33822 225.211641 \r\nL 199.502068 223.556169 \r\nL 199.567607 225.046019 \r\nL 199.633146 225.038805 \r\nL 199.665916 224.957621 \r\nL 199.698685 225.193093 \r\nL 199.731455 225.035712 \r\nL 199.764224 224.556581 \r\nL 199.829763 224.957621 \r\nL 199.862533 224.957621 \r\nL 199.895303 222.944484 \r\nL 199.928072 225.147223 \r\nL 199.960842 224.916653 \r\nL 200.026381 224.874999 \r\nL 200.05915 225.353165 \r\nL 200.09192 224.625491 \r\nL 200.124689 223.56891 \r\nL 200.190229 224.977561 \r\nL 200.255768 224.987461 \r\nL 200.321307 225.26588 \r\nL 200.354076 225.207104 \r\nL 200.386846 224.957621 \r\nL 200.419615 223.606362 \r\nL 200.485155 225.134624 \r\nL 200.550694 224.875007 \r\nL 200.616233 224.957621 \r\nL 200.681772 225.11147 \r\nL 200.780081 224.538771 \r\nL 200.84562 224.186925 \r\nL 200.911159 225.209713 \r\nL 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237.252596 223.949109 \r\nL 237.318136 224.360298 \r\nL 237.416444 225.05835 \r\nL 237.481983 223.628372 \r\nL 237.514753 224.63669 \r\nL 237.547522 224.957621 \r\nL 237.580292 221.694245 \r\nL 237.645831 225.228309 \r\nL 237.74414 224.898852 \r\nL 237.776909 225.292892 \r\nL 237.809679 225.210318 \r\nL 237.907988 223.659431 \r\nL 237.940757 224.725647 \r\nL 238.006296 225.05945 \r\nL 238.039066 224.359752 \r\nL 238.137374 224.368634 \r\nL 238.170144 224.667299 \r\nL 238.202914 220.77252 \r\nL 238.235683 225.129708 \r\nL 238.268453 223.148783 \r\nL 238.301222 225.003097 \r\nL 238.366761 224.359207 \r\nL 238.399531 215.463528 \r\nL 238.46507 224.969677 \r\nL 238.49784 224.942112 \r\nL 238.563379 224.52549 \r\nL 238.596148 224.705283 \r\nL 238.694457 225.213025 \r\nL 238.727226 224.842901 \r\nL 238.759996 224.06593 \r\nL 238.792766 218.839851 \r\nL 238.858305 225.145084 \r\nL 238.891074 225.055022 \r\nL 238.956613 225.094831 \r\nL 238.989383 224.502182 \r\nL 239.022152 225.305439 \r\nL 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246.821307 225.015153 \r\nL 246.854076 221.383627 \r\nL 246.919615 225.062573 \r\nL 247.017924 224.667845 \r\nL 247.050694 225.198242 \r\nL 247.149002 225.07481 \r\nL 247.181772 223.586617 \r\nL 247.214541 225.185897 \r\nL 247.247311 224.923159 \r\nL 247.280081 224.382254 \r\nL 247.31285 224.997356 \r\nL 247.378389 224.520264 \r\nL 247.443928 224.984336 \r\nL 247.476698 222.189656 \r\nL 247.542237 224.861734 \r\nL 247.575007 225.142089 \r\nL 247.640546 225.110472 \r\nL 247.738854 225.159678 \r\nL 247.837163 224.49789 \r\nL 247.869933 225.105338 \r\nL 247.968241 225.050894 \r\nL 248.001011 223.881679 \r\nL 248.03378 225.159552 \r\nL 248.06655 225.04737 \r\nL 248.132089 224.403658 \r\nL 248.164859 225.313659 \r\nL 248.230398 224.870364 \r\nL 248.263167 220.517759 \r\nL 248.328706 224.957621 \r\nL 248.361476 224.896791 \r\nL 248.394246 225.055928 \r\nL 248.427015 224.27793 \r\nL 248.459785 220.610262 \r\nL 248.492554 225.028385 \r\nL 248.525324 224.897518 \r\nL 248.558093 225.042481 \r\nL 248.623632 225.016445 \r\nL 248.656402 224.888587 \r\nL 248.689172 225.352619 \r\nL 248.721941 224.416122 \r\nL 248.754711 224.588362 \r\nL 248.78748 221.136311 \r\nL 248.853019 224.907272 \r\nL 248.885789 225.292889 \r\nL 248.918558 224.37032 \r\nL 248.951328 224.968114 \r\nL 249.049637 223.625645 \r\nL 249.147945 225.205717 \r\nL 249.180715 224.945349 \r\nL 249.213484 224.73792 \r\nL 249.246254 225.216818 \r\nL 249.279024 224.988148 \r\nL 249.311793 222.228508 \r\nL 249.377332 224.957621 \r\nL 249.410102 225.042259 \r\nL 249.475641 225.016799 \r\nL 249.54118 224.350672 \r\nL 249.57395 225.27835 \r\nL 249.606719 224.342368 \r\nL 249.639489 224.805632 \r\nL 249.672258 223.757196 \r\nL 249.737797 224.665803 \r\nL 249.770567 224.591567 \r\nL 249.803336 225.085194 \r\nL 249.836106 223.334533 \r\nL 249.901645 224.494484 \r\nL 250.032723 225.008002 \r\nL 250.065493 224.918398 \r\nL 250.098262 225.248847 \r\nL 250.131032 221.042464 \r\nL 250.196571 224.957621 \r\nL 250.229341 224.629117 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273.004182 222.361811 \r\nL 273.036952 225.3488 \r\nL 273.069721 224.517735 \r\nL 273.13526 224.213087 \r\nL 273.16803 224.957621 \r\nL 273.200799 224.563171 \r\nL 273.266339 224.99126 \r\nL 273.331878 225.157309 \r\nL 273.364647 220.865596 \r\nL 273.430186 225.254608 \r\nL 273.495725 225.271091 \r\nL 273.528495 224.253999 \r\nL 273.561265 225.07073 \r\nL 273.594034 222.576684 \r\nL 273.659573 224.956363 \r\nL 273.692343 225.353165 \r\nL 273.725112 223.900227 \r\nL 273.757882 225.094982 \r\nL 273.790651 176.238009 \r\nL 273.856191 224.58279 \r\nL 273.88896 225.224074 \r\nL 273.92173 222.295979 \r\nL 273.987269 223.568364 \r\nL 274.020038 225.152109 \r\nL 274.085577 224.559339 \r\nL 274.118347 223.375514 \r\nL 274.151117 224.568818 \r\nL 274.183886 223.906496 \r\nL 274.216656 225.261658 \r\nL 274.282195 225.242426 \r\nL 274.314964 224.454929 \r\nL 274.413273 224.739129 \r\nL 274.446043 224.828104 \r\nL 274.478812 224.253928 \r\nL 274.511582 225.21572 \r\nL 274.544351 224.812827 \r\nL 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276.444985 224.957621 \r\nL 276.477755 225.221822 \r\nL 276.543294 224.866045 \r\nL 276.576064 224.957621 \r\nL 276.674372 224.057098 \r\nL 276.707142 224.384093 \r\nL 276.83822 225.106071 \r\nL 276.87099 225.138828 \r\nL 277.002068 224.526769 \r\nL 277.034837 225.200099 \r\nL 277.100377 224.807767 \r\nL 277.133146 224.819889 \r\nL 277.165916 224.314383 \r\nL 277.198685 224.657864 \r\nL 277.296994 225.088525 \r\nL 277.329763 223.671283 \r\nL 277.395303 224.773216 \r\nL 277.428072 225.179332 \r\nL 277.460842 222.794451 \r\nL 277.526381 225.088197 \r\nL 277.624689 224.647878 \r\nL 277.657459 224.941914 \r\nL 277.755768 224.585656 \r\nL 277.788537 225.031988 \r\nL 277.854076 224.957621 \r\nL 277.886846 224.669593 \r\nL 277.952385 225.017951 \r\nL 277.985155 224.931644 \r\nL 278.050694 224.957621 \r\nL 278.083463 224.054542 \r\nL 278.149002 224.980888 \r\nL 278.247311 225.119808 \r\nL 278.280081 223.857753 \r\nL 278.34562 225.027817 \r\nL 278.378389 224.957621 \r\nL 278.411159 225.000158 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282.409045 224.791549 \r\nL 282.441814 224.667299 \r\nL 282.474584 204.650402 \r\nL 282.540123 224.971541 \r\nL 282.703971 225.165036 \r\nL 282.73674 224.957621 \r\nL 282.835049 220.657955 \r\nL 282.933358 225.288116 \r\nL 282.966127 224.32644 \r\nL 283.031666 225.290346 \r\nL 283.097205 225.076845 \r\nL 283.129975 223.662595 \r\nL 283.195514 224.960399 \r\nL 283.228284 224.798237 \r\nL 283.261053 223.606348 \r\nL 283.326592 225.063696 \r\nL 283.359362 224.42329 \r\nL 283.392131 225.154329 \r\nL 283.424901 224.956264 \r\nL 283.45767 225.101582 \r\nL 283.49044 224.957621 \r\nL 283.52321 224.849884 \r\nL 283.555979 224.894109 \r\nL 283.621518 225.11094 \r\nL 283.687057 225.002487 \r\nL 283.719827 212.124781 \r\nL 283.752596 225.206769 \r\nL 283.785366 224.612814 \r\nL 283.850905 224.511279 \r\nL 283.916444 225.104249 \r\nL 283.949214 212.043144 \r\nL 284.014753 224.686982 \r\nL 284.113062 225.202616 \r\nL 284.145831 225.139356 \r\nL 284.178601 223.885497 \r\nL 284.21137 224.795191 \r\nL 284.24414 209.014593 \r\nL 284.276909 225.149339 \r\nL 284.309679 225.106527 \r\nL 284.375218 224.542061 \r\nL 284.407988 221.718249 \r\nL 284.440757 225.07515 \r\nL 284.473527 224.938652 \r\nL 284.506296 225.322652 \r\nL 284.539066 224.575023 \r\nL 284.571835 225.124707 \r\nL 284.637374 225.21257 \r\nL 284.735683 224.838056 \r\nL 284.768453 225.166721 \r\nL 284.833992 224.825656 \r\nL 284.866761 225.065562 \r\nL 284.99784 224.453275 \r\nL 285.030609 225.03902 \r\nL 285.128918 224.911917 \r\nL 285.161687 225.195833 \r\nL 285.194457 224.702702 \r\nL 285.227226 224.957621 \r\nL 285.259996 224.957621 \r\nL 285.292766 223.17629 \r\nL 285.358305 224.991016 \r\nL 285.391074 225.300711 \r\nL 285.456613 225.253967 \r\nL 285.554922 222.692892 \r\nL 285.587692 224.403955 \r\nL 285.620461 224.174868 \r\nL 285.653231 225.190119 \r\nL 285.751539 225.034179 \r\nL 285.817078 221.830474 \r\nL 285.849848 225.059489 \r\nL 285.915387 224.672318 \r\nL 285.948157 225.067111 \r\nL 285.980926 225.350437 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nFCqDIiISTiHq0E8C1iW8rg3miRRVY9NBxi3cWOpsiJSNQgT0VBVSKVsfzOw6M6s2s+q6uroCbLpMRbeKrqzcMXYJP3xqLrPXZLqAFOk8ChHQa4GTE173BFL2Y3L3Ye7e19379ujRowCbls5s/fZ9AOxubCpxTkTKQyEC+hjg20Fvl08CO91d18EiIh0s6yPozGwk0A/obma1wM1AVwB3HwqMA74M1AANwHeLlVkREUkva0B392uyLHfgRwXLkUiOdN+WSIzuFO0ACjjFYabWZ5FECugi0qlEeQgABXSpeLoCkjCifMt/nAK6iEhEKKBLxVNVukiMArqISEQooEvFUx26SIwCulQs1bR0vN2NTdz24hL2Nx8sdVZylkvvFnfn3onLqd3eUMQcFZ4CuoiE9sdJKxn+xjs8M3td9sRlKkxvl5Vb9vDAlBquf3JOB+SocBTQI2r2mm1UDRrLkg27Sp0ViZDmg4cAOHgo2vVch4J6vKbmyvqcCujF4BlfdoiJizYB8EbN1hJsvWNV1k9OpHgU0EWk3e54aUmps1AUlXZXqQK6VDw1jpbeI9PfKXUWCqpS7ypVQBeR0CqrvJq/SiuZxymgS8WrzJ+eSOEpoEdcpZY0wtAt/x2vs+xyVbmIiEhJKaAXQxmd3Cu1pCFSDiptWAkFdKl4Xmm/Oil7lVqdp4DeCTw6/R1eXryp1NmQCOgsp85KLSNkfUi0tF+sBFmaU77j3P7SUgDW3PmVkuSh2PRs0Y7XWfZ5pX1MldAjqtIORKkspa7mmrBoI78dm9/dqbmNupjXJkpGAT2iKu1AbI9SB5fOpFzKCdc/OZeHp+V2d2ouHQQqtUCkgB5x0e7lEuXPJpI7BXQRkTQq7dovVEA3s/5mttzMasxsUIrl3zGzOjObF/x9r/BZFUmt0n50layS93WU75qOyxrQzawLMAT4EtAbuMbMeqdIOtrd+wR/jxQ4n1ktrN3J//ntJLbvPdDRmy5rUT6IK7WeMwoquZdLTnXpIdO5O3eOX8bquj35ZapAwpTQLwRq3H21ux8ARgFXFDdbuRsypYa63ft5a3V9y7zGpsp77mGhVPDvTSpAZ2mIDvspa7fvY+jrq/juiNlFzU82YQL6SUDiAwRrg3nJvmZmC8zsOTM7OdWKzOw6M6s2s+q6uro8sptd4hdwIHhcVsb07sxft6MoeSmlzvB76wyfsdx0lnJCrp8zfiyW+tF8YQJ6qs+WnOsXgSp3PweYBDyWakXuPszd+7p73x49euSW02yZzPNIGz17HVcMeYNXlmwuaH7KRbR7uYiUl1JfGYcJ6LVAYom7J7AhMYG717v7/uDlw8AFhcle7nItta3YHKvzWlu/twi5iVFBsjhK/eMppclLN/PpO19lf3PnrVbsCLlWLZX6qjFMQJ8NnG5mp5nZkcAAYExiAjM7IeHlvwJLC5dFkcPcnWFTV7Fhx75SZ6Wkbh6zmPU79rFl1/7siQsoHq9ueXEJi9bv7NBt52pnQxO12xtKnY0OlTWgu3szcAMwkVigfsbdF5vZbWb2r0GyG81ssZnNB24EvlOsDBdatlLe5KWb2bu/uWMyUwRR6+Wybts+/nfcMr7/eHWps1IWSlkifGjq6tJtPISL73uNf75rSrvWkWtvnlJfNYYanMvdxwHjkubdlDA9GBhc2Kzlpr07cvOuxjbzarbs4drHqrnsnBN44D/Ob98GOlipD6xiORhEsMSTbKkvc0shqt9vIW3rwC7M5VJwitydornu2Hi/9VTjQsSDxtr6znXZVs4S6zQV06QYVtftoelg7DirtO6ZnX743KYM3YzyLgWVwTFQYcdhzir5xpZKFvW9vnlXI5+/73U+9Y/HlzoreYlcCV1aS+y2+Oqyyu+a6WmmO6tyudTPpGrQWH7+zPxSZyOU7Q2xK/bEGxRzUepuwpEJ6KXekeUq8Qf/nyOqmZnngVpuDHhna/G6mpa7Uh3v+Z4+np9bW9B8FEu++7VcrogjE9Dj3OGjg8cy+K8LC7fOCigFJUtXI7G9oaljM1Jg8R9O7fZ91Gwp7bgZYV07YjYj3sht7G6RfEQuoAMcchg56912ryd+ts757KuLhaILM6xDuZi8bAu3vJjf03WyKZeSYRiFGFup4UAzn77z1QLkJrMK2q2tRDKgl5tK+tGJFMvdE5a3ex3LN+1mfTtvKst0xZ18ZZtzWa4Cbv2vDJ2kVLx3fzMrN++msekgA4fPSlvtUC4nkV2NTcxYVex6+zL5sJLRtr0de1drslzqx3P9/ZTLERidgB7Idcdm6mf682fnAbC/+RANB1rfLfpGzVaqBo1lyYZdbda3u7F4d5Z+//FqvviHqby1up7XV9Rx64uLM6YvZOPZgeZD9P/jVKav3Br6PT98ci7XPPwWOyu87r7cxEuCpQwkpeij3Z7uqtnawuas3c4j08r77tdsIhfQE4X56jMdIPGBu2q27KH3TRNbLZu4eBMAs95pXfp8bk5hWvPTjVXyZlDaDftTKmSD7vod+1i2aTe/eiF8g/OyTbET3v6DhRpEqu3nuXP8Mma9sw2AXr8ZT9WgsZHvAVOJF6SHHHY3lv7Enq6Q87UH3+SZ6srojZNOpAN6e0JZ2NJH8gnh3W3h7irduif95eeMVfV86s5X+fu89Sm2F89gtnylnn/InaY8GxRbNp3Tjs23G1j4jaypb+DrD80AoLEp9tleWbIpr+1K8YyZv4Gzb3k547Hf2HSQA82V0+CdrNQn2sgE9ELvyGzxJN3yMPmYvWYbfe+YxEsLNqRcvnRjrFT79rvpH7yRb8n7h0/N5fRfjc/rvYcv8/PYdoEuFMqlbSCbzbsa2914Vy7+WuA+5JkCeq/fTOCS379e0O1lsnd/M1WDxjJ+4cZ2radchgiITECPy3384tTpw64lnyq9xcGwo/FqgkzrfH1FHcOnH+7DnF8puTDCdOPc3djEoOcXsCcYB6dUrf6l/n194n8nd0z3uhAftLHpID96ai7/9UR1m7agMCYv3RIq3eC/Lsh5QKw3a7YybOqqVvMyXeU+8OrKnNYPsGLz7rT7aV0wvO4fJq3Ieb3lqKIDevPBQzw9812a01QhtCeWHMryQ0kspQ59fRVVg8YGG82+1bANO+7OwOGzuO2ltn2Yk7O3fe8B7p6wrOURWMUIaC0l9AzrfnjqakbNXtfqJJTKm6u28s1HZub8yK7wbQfwxIw1vLkqfANuVL3w9nrGLtzIxMWbeXpm++/PSGfkrHXcNX5ZTu/5j0dm8r/jwr9nUsiTS6JL/zCVZ6oPP0VzxebdQOzKI341nFZ5FLxDq+iA/viMtfzybwt54q21KZcnfxfb9h4I3ViWLaDHGbFGOcjv6SbrtjVQNWgsc9Zux90ZMqWGTSmG8m3ZXhBVk7d064uL+ctrq5i0tPV4LR19i3jYPfDjp99mes1WVtft4faXlrSq168aNJbTBh8erTnfp0n95u+L+Y+HZ+b13ny9s3Uvc9/dnjHNis27+fSdrzKunZf5YbU3JuVSxZacNlP1SkdK7I22P6ij/9kz8/m/o2NjzBSqABT/fT49892WjhMQK3zeP3ll0Z+tUJEB/YdPzeH2l5awY1+sxXxHQ1OoUu/n7p7Cxfe+Fmob+XzB7mF71gTpcabXxEqQz8xex6q6vdwzcTkPvb46WJ5pW62Xxg/S5BJvvnXt7t7mzr54vvc3H2TZpl1tLt9feHs9f361JvX6kl7H13Xri0t4dPo7rQ7+ZJ+757Vcsh7bXoFLVm/UbOW3Y7Pf7Xnxva/x7395M2OaX7+wiPU79vHDp+bmnZ90J/Zs3OFPk1a2DBudaOqKOqoGjW3Tw6o9+3LQ8217RBXj6rF6zbaMx1DeQpaHEj9SzZbd/PJvC/mvJ+a0zHtxwQZ+/8oK7pnY/purMqm4gN508BDjFm7i0envpNzXDQcOB6Hk5bsTzo6vr6jj2YTLsGRhS+i3jz38tL1070kOqon14JaQJuw2U0muDsmn7vqdrXtbBu968PVV9PrNhFY//HgQ2brnAP3/OK1NV86fjp7XMh2/ykifjdiSeMk8bNVLPrsoXZVcOvV79rc5WX3jkZkpx8wvtP/33ALeqMlcTbRnf3ObK81tew+wc1/2LoFTV9bxh0kr+PXfF7VZFh8uY9661I3x79Y3sHhDliqKJGGfedr/j1P55iOZr6Yeen1V2mVXDp3RKoDmKu1hlcfx9su/td23+4PeV/sOFPcZsBUX0FOdhZ3DgSPsoFwDh8/if55bkLZkH7ZqN7GLlZM+kM5ft+Nwr4eERInpk4NVpuDVpsQbb7BMWpJL/eTF977G1cNiNwE9HDxerC7hkjmXc0RyXW3yZ3lPHjfGTFtZR93ucJfwifsh3T5YunFXyp4oF9wxicv+PD2HnBXO6Op1fCNLYBuW8Oi3+yevpG73fs6//RXOvfVlxi7YmHHMlObgwQ2NKQJLvECR/D3Hv7vP3jOFOWsPVyeF+e5SHcN/eGXF4TanwLJNu1uuVtP5XY7187koZC+VTL+TYg/0V3EB/T2pgmE7eqqk+yJTlZYT7yJL9bZMJewrhrzRptdD7ESU2wBgxerlkli3d+5tL7eMyvjEjLUtbQSpTlbunrHnRKr3fHTwWLbEA3PIz7F5VyPfenQW33w09zrxdGNbf+lP09L2RFldl7re/oxfj09b4g/d9a3dldqHV/D3eRv4xXOHxxr/0dNzuWtCfoGvPVd3uXh5SeHG5c8lEI9flL5KZlWa7ztX6droOqq3VwUG9MPT2Rr8wtxu/tKC1j/CrXv2M3npZjzFb/aOhOqVVNIdWxOSDiRL8SJV6b56bfrGteufTLq8DN67o6Epr37D6a5snnhrLUNfX0X9nv0sqG37lPfhb6yh900T2bgzc5/rxJJJqqufbL/LXC9VE09QSzbu4uYUVQz52N98qKVLZqIZq+r5QTvqxKFtcHprdX3qk0fSgbIvqUS+cUf6RvWWbSVMb9ixjzHzN7TMK+TToDKVSA/l2MMplRtHzWNBbfr7NRI9+Fr6Kpt0EnP42vItbNt7IOWNT4lfXUOGY7XY3Wkr7hF0uRxsA4a9lfP6Bw6fxeINu3hz0Oczpkv1vbhD/Z62jU0/GTUvReq2702W3KVq6579NKf5EcT3yq9fiAWui8/okXWbh7ftzM/yo7hiyBvUbm8btOOl0lTLYvkK2UUzS7E11xjzSlIp8LEZa7nxC6ezeMMuzj7pWP7nuQVZ17Fs0y56feSYtnlNkdWd+7L3v/7cPVN47vpPpV2e2MYze802Bgx7ixu/cDo/++LHWqVLVyWSr6uGzmD9jn0tx0yb9bfjkiJT3jJd0U5fuZVjj+rK2T2Pzbj+F+dvYG6Ggk869Tn0vnlm9jqOOrILPx75dsu8NXd+JaftHa4SLa4KLKG3rXJJV3edWD8adizm+KV2utuPM7WkO562C2Uqz8+ppXpN7Oaime9kH5Gw7x2TQq97f5bbp+ev28GvX1iIu3PJ71/P+iDstAE7RN/0TMvjwSLb+3PtfhkfhyfRNx6ZybeHz+K8219p070zlf5/nJZyfr4/yrX1DUxYlL5a5ncJdf1bdsUCzv2TV7Kqbk+rS/nkrm8zk25Qi5/0N+zYR6/fjM/aVS7egB1Ur7f6jUH676YpwzE2bWVdm5NqskwF9G8+OpPLH4i1Y2zZ1ZjxCivxd+7ufOvRmUxZlrm/erZ2ijgDfvH8glbBPJvEKsg1W/fGago6qMql4kroiVUu8Ya3het38tryuozv+0VCiWxOmjP6oUPecvnapkoj8F9PzGHNnV9JU4eeMQsAfOvRmUwLRivc33yoZTCgdAEzmxWbdzNh0aY2Vy5vZhmy9qt/eYNDDj//4hntqj+sD3rBpOrNsHHnvpZgUb/nACced1SbNPH9ePeE5fT6yDH0PrFtiRgKUwe5Ms1Qw3v2NzNy5rtc+8+n0RDixJ9Lb6RzbmndEyj5GLllzGLeY8ZNl/dmV8LAVYnH+Rfui90KHy8VPpLlpq1JSzfzwKsruffl2N2PmaoKZ6yqb+lhdPBQLEBPWb6FPqcc15Im3afNVBf+rUdnAXDRR9M/bDnsfvzl3xaFOgFD7MEn01ZubdNu8tiM1gWtsE+7ypTDxr1u5rkAAAkpSURBVKaDdOvapc38xN9Tv6Ru0sWucqm4EnpiY1U8WGQL5kBLSRhio6qlsq3h8GXzsk27067r9y8vT1n/d9bNE1Okbm1ahqFnM93FNznNAb15136uf3JOzgWAePbbe3zFv4/4DzjRlGWHv5fLH5jOi/Pbjl0TbyfYtKuRL98/rU3vh7jP3D0la15+80J+9eRn3TyR345bykd/Oa7Nd5iqbeDQIecvr9W0GjkwXc/IXUlDKTc2HWRvQgluxJtrGB48ni7xmEpXH1+7Pdzgb/FgnsnSjbu45uHD1ZJv1MSC4FMz36VfUt//Z2an7+LbKl11bavhlWdkeIbtsyFGJq0aNDZ0MIfDNxBlK1ylq7pMlq6Rc8mGXfT6zYSE9rFw6zt46BBTlm8J3VsrVxamldjM+gN/AroAj7j7nUnL3ws8DlwA1ANXu/uaTOvs27evV1dX55zhnz8zv2gPnL3g1A+kLb2Xu35n9Ah1Ykv24DfOb3djXlifOb07553yAe6fnPt4HKV067+eyc1j2o47//leH+K7n67iiRlr291zY/CXemXtlnf/NedxYw6X/tl851NVjHhzTdZ0Z554TM79zzub07q/L6chm3t95P1M+Oln89qWmc1x974pl2UL6GbWBVgBfBGoBWYD17j7koQ0PwTOcffrzWwA8FV3vzrTevMN6N97bHZe4zmIiJSTXBtW4zIF9DBVLhcCNe6+2t0PAKOAK5LSXAE8Fkw/B3zBCtn3KcGZJ2Zu9RYR6azCBPSTgMQKtNpgXso07t4M7ATatIaY2XVmVm1m1XV1uVcPAPz0ktN535FtGyJERCrFizf8c1HWG6aXS6qSdts7z7Onwd2HAcMgVuUSYtttM2PG4tv65/NWEZFIC1NCrwVOTnjdE0jurtCSxsyOAI4FUj+9QUREiiJMQJ8NnG5mp5nZkcAAYExSmjHAwGD6SuBVL5dnMomIdBJZq1zcvdnMbgAmEuu2ONzdF5vZbUC1u48BHgWeMLMaYiXzAcXMtIiItBXqTlF3HweMS5p3U8J0I3BVYbMmIiK5qLg7RUVEJDUFdBGRiFBAFxGJCAV0EZGICDU4V1E2bFYHhB88vLXuQOYHEHYO2g/aB3HaDzGdYT+c6u4pn2BTsoDeHmZWnW5wms5E+0H7IE77Iaaz7wdVuYiIRIQCuohIRFRqQB9W6gyUCe0H7YM47YeYTr0fKrIOXURE2qrUErqIiCRRQBcRiYiyCOhmdlzwXNJ83vtTM/uHhNcXmNlCM6sxs/uL9Si8XBTq85nZP5jZWDNbZmaLzezOhHTvNbPRweeeaWZVCcsGB/OXm9m/JMzvH8yrMbNB+X/C0J+lYN9zwvwxZrYo4fUHzewVM1sZ/P9AMN+C46HGzBaY2fkJ7xkYpF9pZgOTt1FIBT7WjzSzYWa2IjgmvhbM71THgpldE/zmF5jZBDPrHswv62OhKNy95H9AFbAoz/euAbonvJ4FXETsKUrjgS9F5fMB/wBcHEwfCUyLfz7gh8DQYHoAMDqY7g3MB94LnAasIjYMcpdg+qPBuuYDvSthPyTM+3fg6cR1AncDg4LpQcBdwfSXg+PBgE8CM4P5HwRWB/8/EEx/oBL2AXArcEcw/Z6E46TTHAvERozdkvD6buCWSjgWirJfS52BYEeOAvYB84B7gP8h9mCNBcCtQZr3AWODg20RcDVwI3AAWAhMAU4AliWs9xrgoah8vhTr/RPw/WB6InBRwkG+NThgBwODE94zkdgJ7yJgYsL8VunKfT8ARwPTiQWpxIC+HDghmD4BWB5MPwRck5wu+RhJTlfm+2Ad8L4U2+g0xwLQFagDTg0+41Dguko4ForxF2o89A4wCDjL3fuY2aXEnnp0IbEvaIyZfRboAWxw968AmNmx7r7TzH5GrNS61cz6EnscXlyqB1qXQkE+X+IKzew44HJiQR2SHtRtZvEHdZ8EvJXw1sR9kvzw708U6gOnUcj9cDtwH9CQtI0Pu/tGAHffaGYfCuane9h5mIegF1KhjvXjgvXdbmb9iJWwb3D3zXSyY8HMfkAswO8FVgI/CrZR7sdCwZVFHXqSS4O/t4G5QC/gdGJf2CVmdpeZfcbdd6Z4b6iHVZdYez4f0PLc1pHA/e6+Oj47RVLPY35HyXs/mFkf4J/c/W85bK8c90N7joUjiD3f9w13Px+YAdwbLOtMx0JX4AfAecCJxEr4g7Nsr1z3Q7uVSwk9kQG/c/eH2iwwu4BY/dfvzOxld78tKUktsYM8LtUDrUutPZ8vbhiw0t3/mDAv/qDuWmv9oO5MD/nO9vDvYmrPfrgIuMDM1hA7hj9kZq+5ez9gs5mdEJTITiBWvwrp90Mt0C9p/mvt/GxhtWcf1BO7Oomf1J4Frg2mO9Ox0AfA3VcF6Z8hVvqHyjoWCqPUdT5BXdXxwNpg+lJgJnB08Pok4EPEzr7dgnn/BrwQTC8ETktY12xiDR3xRtEvR+zz3QE8D7wnaRs/onVD2DPB9Jm0bghbTawR7Ihg+jQON4SdWSn7IWGdVbSuQ7+H1g1hdwfTX6F1Q9isYP4HgXeINYJ9IJj+YCXsA2L10J8Ppr8DPNvZjoUgzUagR/D6duC+SjgWirJfS52BhC/4aWINH/cAPwm+tIXELiX/EfgXYpdT84gF7b7B+34MLONwQ1HfYD2rgAcI7oYt9V8hPh+xEoMDS4N084DvBem6ESul1RDr6fPRhG3/Ktgfy0no9UOs5LMiWParStkPSeuronVAPx6YTKwudXL8Bxn8eIcEn3VhfL3Bsv8M9lsN8N1K2QfEGgKnBmknA6d0xmMBuD74TSwAXgSOr5RjodB/uvVfRCQiyrFRVERE8qCALiISEQroIiIRoYAuIhIRCugiIhGhgC4CmNmbaeaPMLMrOzo/IvlQQBcB3P1Tpc6DSHuV463/Ih3OzPa4+9FmZsCfgc8Tu1Ow5OPpi4SlErpIa18FzgDOBr4PqOQuFUMBXaS1zwIj3f2gu28AXi11hkTCUkAXaUvjYUhFUkAXaW0qMMDMugRDrl5c6gyJhKVGUZHW/kasQXQhsdEHXy9tdkTC02iLIiIRoSoXEZGIUEAXEYkIBXQRkYhQQBcRiQgFdBGRiFBAFxGJCAV0EZGI+P+fBEGcZUptegAAAABJRU5ErkJggg==\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "lasso_submission.plot()"
   ]
  },
  {
   "source": [
    "## Ridge Regression"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "RMSE: 7990095.857629234\n",
      "R-squared score (training): 0.537\n",
      "R-squared score (test): 0.374\n"
     ]
    }
   ],
   "source": [
    "# Ridge regression\n",
    "ridge = linear_model.Ridge(alpha = 0.029, normalize = True)\n",
    "ridge.fit(X_train_scaled, y_train)\n",
    "Y_pred_ridge = ridge.predict(X_valid_scaled)\n",
    "print(\"RMSE: \" + str(rmse(y_valid, Y_pred_ridge)))\n",
    "print('R-squared score (training): {:.3f}'.format(ridge.score(X_train_scaled, y_train)))\n",
    "print('R-squared score (test): {:.3f}'.format(ridge.score(X_valid_scaled, y_valid)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         SALE PRICE\n",
       "id                 \n",
       "test0  1.396353e+07\n",
       "test1  6.846967e+05\n",
       "test2  4.095589e+05\n",
       "test3  1.877738e+06\n",
       "test4  2.753596e+06"
      ],
      "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>SALE PRICE</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>test0</th>\n      <td>1.396353e+07</td>\n    </tr>\n    <tr>\n      <th>test1</th>\n      <td>6.846967e+05</td>\n    </tr>\n    <tr>\n      <th>test2</th>\n      <td>4.095589e+05</td>\n    </tr>\n    <tr>\n      <th>test3</th>\n      <td>1.877738e+06</td>\n    </tr>\n    <tr>\n      <th>test4</th>\n      <td>2.753596e+06</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 56
    }
   ],
   "source": [
    "ridge_submission = pd.DataFrame(ridge.predict(X_test_scaled))\n",
    "ridge_submission.index = X_test[\"id\"]\n",
    "ridge_submission.columns = [\"SALE PRICE\"]\n",
    "ridge_submission.to_csv(\"output/ridge_submission.csv\")\n",
    "ridge_submission.head()"
   ]
  },
  {
   "source": [
    "## Random Forest"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "RMSE: 8532998.670698052\n",
      "R-squared score (training): 0.866\n",
      "R-squared score (test): 0.285\n"
     ]
    }
   ],
   "source": [
    "# Random forest\n",
    "rf_regr = RandomForestRegressor()\n",
    "rf_regr.fit(X_train_scaled, y_train)\n",
    "Y_pred_rf = rf_regr.predict(X_valid_scaled)\n",
    "rmse(y_valid, Y_pred_rf)\n",
    "print(\"RMSE: \" + str(rmse(y_valid, Y_pred_rf)))\n",
    "print('R-squared score (training): {:.3f}'.format(rf_regr.score(X_train_scaled, y_train)))\n",
    "print('R-squared score (test): {:.3f}'.format(rf_regr.score(X_valid_scaled, y_valid)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         SALE PRICE\n",
       "id                 \n",
       "test0  8.555734e+06\n",
       "test1  6.210395e+05\n",
       "test2  5.396837e+05\n",
       "test3  1.175117e+06\n",
       "test4  8.957772e+05"
      ],
      "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>SALE PRICE</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>test0</th>\n      <td>8.555734e+06</td>\n    </tr>\n    <tr>\n      <th>test1</th>\n      <td>6.210395e+05</td>\n    </tr>\n    <tr>\n      <th>test2</th>\n      <td>5.396837e+05</td>\n    </tr>\n    <tr>\n      <th>test3</th>\n      <td>1.175117e+06</td>\n    </tr>\n    <tr>\n      <th>test4</th>\n      <td>8.957772e+05</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 29
    }
   ],
   "source": [
    "rf_submission = pd.DataFrame(rf_regr.predict(X_test_scaled))\n",
    "rf_submission.index = X_test[\"id\"]\n",
    "rf_submission.columns = [\"SALE PRICE\"]\n",
    "rf_submission.to_csv(\"output/rf_submission.csv\")\n",
    "rf_submission.head()"
   ]
  },
  {
   "source": [
    "## XGBoost\n",
    "\n",
    "Helpful:\n",
    "\n",
    "https://www.kaggle.com/darkknight98/how-a-data-scientist-buys-a-house-a-tutorial"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xgboost\n",
    "from sklearn.model_selection import RandomizedSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# regressor = xgboost.XGBRegressor()\n",
    "# n_estimators = [100, 500, 900, 1100, 1500]\n",
    "# max_depth = [2, 3, 5, 10, 15]\n",
    "# booster = ['gbtree','gblinear']\n",
    "# learning_rate = [0.05, 0.1, 0.15, 0.20]\n",
    "# min_child_weight = [1, 2, 3, 4]\n",
    "# base_score = [0.25, 0.5, 0.75, 1]\n",
    "\n",
    "# # Define the grid of hyperparameters to search\n",
    "# hyperparameter_grid = {\n",
    "#     'n_estimators': n_estimators,\n",
    "#     'max_depth': max_depth,\n",
    "#     'learning_rate': learning_rate,\n",
    "#     'min_child_weight': min_child_weight,\n",
    "#     'booster': booster,\n",
    "#     'base_score': base_score\n",
    "#     }\n",
    "# random_cv = RandomizedSearchCV(estimator=regressor,\n",
    "#             param_distributions=hyperparameter_grid,\n",
    "#             cv=5, n_iter=50,\n",
    "#             scoring = 'neg_mean_absolute_error',n_jobs = -1,\n",
    "#             verbose = 5, \n",
    "#             return_train_score = True,\n",
    "#             random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# random_cv.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# random_cv.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO tweak these params to find the best one (see code above)\n",
    "\n",
    "# overfitting documentation: https://xgboost.readthedocs.io/en/latest/tutorials/param_tuning.html\n",
    "# parameter documentation: https://xgboost.readthedocs.io/en/latest/parameter.html\n",
    "regressor = xgboost.XGBRegressor(base_score=1, booster='gbtree', colsample_bylevel=1,\n",
    "             colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,\n",
    "             importance_type='gain', interaction_constraints='',\n",
    "             learning_rate=0.1, max_delta_step=0, max_depth=3,\n",
    "             min_child_weight=1, monotone_constraints='()',\n",
    "             n_estimators=900, n_jobs=0, num_parallel_tree=1, random_state=0,\n",
    "             reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,\n",
    "             tree_method='exact', validate_parameters=1, verbosity=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "RMSE: 8286856.714114094\n",
      "R-squared score (training): 0.987\n",
      "R-squared score (test): 0.326\n"
     ]
    }
   ],
   "source": [
    "regressor.fit(X_train_scaled, y_train)\n",
    "Y_pred_xgb = regressor.predict(X_valid_scaled)\n",
    "\n",
    "print(\"RMSE: \" + str(rmse(y_valid, Y_pred_xgb)))\n",
    "print('R-squared score (training): {:.3f}'.format(regressor.score(X_train_scaled, y_train)))\n",
    "# regressor.fit(X_valid, y_valid)\n",
    "print('R-squared score (test): {:.3f}'.format(regressor.score(X_valid_scaled, y_valid)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         SALE PRICE\n",
       "id                 \n",
       "test0  1.327464e+07\n",
       "test1  9.248446e+05\n",
       "test2  4.692930e+05\n",
       "test3  1.218666e+06\n",
       "test4  1.816803e+06"
      ],
      "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>SALE PRICE</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>test0</th>\n      <td>1.327464e+07</td>\n    </tr>\n    <tr>\n      <th>test1</th>\n      <td>9.248446e+05</td>\n    </tr>\n    <tr>\n      <th>test2</th>\n      <td>4.692930e+05</td>\n    </tr>\n    <tr>\n      <th>test3</th>\n      <td>1.218666e+06</td>\n    </tr>\n    <tr>\n      <th>test4</th>\n      <td>1.816803e+06</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 59
    }
   ],
   "source": [
    "xgb_pred = regressor.predict(X_test_scaled)\n",
    "xgb_pred = pd.DataFrame(xgb_pred)\n",
    "\n",
    "xgb_pred.index = X_test[\"id\"]\n",
    "xgb_pred.columns = [\"SALE PRICE\"]\n",
    "xgb_pred[xgb_pred[\"SALE PRICE\"] < 0] = y_train.median()       # hard code set < 0 to median\n",
    "xgb_pred.to_csv(\"output/xgb_submission.csv\")\n",
    "xgb_pred.head()"
   ]
  },
  {
   "source": [
    "## Another XGB"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtrain = xgboost.DMatrix(X_train_scaled, label=y_train)\n",
    "dval = xgboost.DMatrix(X_valid_scaled, label=y_valid)\n",
    "dtest = xgboost.DMatrix(X_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[0]\teval-rmse:10189322.00000\n",
      "Will train until eval-rmse hasn't improved in 10 rounds.\n",
      "[1]\teval-rmse:10186736.00000\n",
      "[2]\teval-rmse:10184149.00000\n",
      "[3]\teval-rmse:10181569.00000\n",
      "[4]\teval-rmse:10178993.00000\n",
      "[5]\teval-rmse:10176424.00000\n",
      "[6]\teval-rmse:10173856.00000\n",
      "[7]\teval-rmse:10171293.00000\n",
      "[8]\teval-rmse:10168735.00000\n",
      "[9]\teval-rmse:10166185.00000\n",
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      "[11]\teval-rmse:10161089.00000\n",
      "[12]\teval-rmse:10158552.00000\n",
      "[13]\teval-rmse:10156008.00000\n",
      "[14]\teval-rmse:10153479.00000\n",
      "[15]\teval-rmse:10150943.00000\n",
      "[16]\teval-rmse:10148419.00000\n",
      "[17]\teval-rmse:10145895.00000\n",
      "[18]\teval-rmse:10143382.00000\n",
      "[19]\teval-rmse:10140864.00000\n",
      "[20]\teval-rmse:10138363.00000\n",
      "[21]\teval-rmse:10135853.00000\n",
      "[22]\teval-rmse:10133358.00000\n",
      "[23]\teval-rmse:10130859.00000\n",
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      "[26]\teval-rmse:10123408.00000\n",
      "[27]\teval-rmse:10120925.00000\n",
      "[28]\teval-rmse:10118456.00000\n",
      "[29]\teval-rmse:10115984.00000\n",
      "[30]\teval-rmse:10113524.00000\n",
      "[31]\teval-rmse:10111057.00000\n",
      "[32]\teval-rmse:10108608.00000\n",
      "[33]\teval-rmse:10106153.00000\n",
      "[34]\teval-rmse:10103712.00000\n",
      "[35]\teval-rmse:10101263.00000\n",
      "[36]\teval-rmse:10098831.00000\n",
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      "[2187]\teval-rmse:8717108.00000\n",
      "[2188]\teval-rmse:8717099.00000\n",
      "[2189]\teval-rmse:8717197.00000\n",
      "[2190]\teval-rmse:8716997.00000\n",
      "[2191]\teval-rmse:8716987.00000\n",
      "[2192]\teval-rmse:8716966.00000\n",
      "[2193]\teval-rmse:8717060.00000\n",
      "[2194]\teval-rmse:8717158.00000\n",
      "[2195]\teval-rmse:8716959.00000\n",
      "[2196]\teval-rmse:8716951.00000\n",
      "[2197]\teval-rmse:8716943.00000\n",
      "[2198]\teval-rmse:8717041.00000\n",
      "[2199]\teval-rmse:8716843.00000\n",
      "[2200]\teval-rmse:8716823.00000\n",
      "[2201]\teval-rmse:8716926.00000\n",
      "[2202]\teval-rmse:8716917.00000\n",
      "[2203]\teval-rmse:8716720.00000\n",
      "[2204]\teval-rmse:8716712.00000\n",
      "[2205]\teval-rmse:8716692.00000\n",
      "[2206]\teval-rmse:8716791.00000\n",
      "[2207]\teval-rmse:8716914.00000\n",
      "[2208]\teval-rmse:8716903.00000\n",
      "[2209]\teval-rmse:8716690.00000\n",
      "[2210]\teval-rmse:8716684.00000\n",
      "[2211]\teval-rmse:8716807.00000\n",
      "[2212]\teval-rmse:8716798.00000\n",
      "[2213]\teval-rmse:8716579.00000\n",
      "[2214]\teval-rmse:8716560.00000\n",
      "[2215]\teval-rmse:8716683.00000\n",
      "[2216]\teval-rmse:8716674.00000\n",
      "[2217]\teval-rmse:8716778.00000\n",
      "[2218]\teval-rmse:8716758.00000\n",
      "[2219]\teval-rmse:8716551.00000\n",
      "[2220]\teval-rmse:8716531.00000\n",
      "[2221]\teval-rmse:8716460.00000\n",
      "[2222]\teval-rmse:8716439.00000\n",
      "[2223]\teval-rmse:8716549.00000\n",
      "[2224]\teval-rmse:8716542.00000\n",
      "[2225]\teval-rmse:8716521.00000\n",
      "[2226]\teval-rmse:8716315.00000\n",
      "[2227]\teval-rmse:8716311.00000\n",
      "[2228]\teval-rmse:8716411.00000\n",
      "[2229]\teval-rmse:8716390.00000\n",
      "[2230]\teval-rmse:8716502.00000\n",
      "[2231]\teval-rmse:8716495.00000\n",
      "[2232]\teval-rmse:8716606.00000\n",
      "[2233]\teval-rmse:8716586.00000\n",
      "[2234]\teval-rmse:8716579.00000\n",
      "[2235]\teval-rmse:8716680.00000\n",
      "[2236]\teval-rmse:8717016.00000\n",
      "[2237]\teval-rmse:8716997.00000\n",
      "Stopping. Best iteration:\n",
      "[2227]\teval-rmse:8716311.00000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "params = {'learning_rate': 0.001, 'max_depth': 6, 'lambda': 0.01}\n",
    "\n",
    "model = xgboost.train(params, dtrain, num_boost_round=10000, evals=[(dval, 'eval')], early_stopping_rounds=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         SALE PRICE\n",
       "id                 \n",
       "test0  8.511392e+06\n",
       "test1  6.473911e+05\n",
       "test2  5.591363e+05\n",
       "test3  9.237389e+05\n",
       "test4  1.243197e+06"
      ],
      "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>SALE PRICE</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>test0</th>\n      <td>8.511392e+06</td>\n    </tr>\n    <tr>\n      <th>test1</th>\n      <td>6.473911e+05</td>\n    </tr>\n    <tr>\n      <th>test2</th>\n      <td>5.591363e+05</td>\n    </tr>\n    <tr>\n      <th>test3</th>\n      <td>9.237389e+05</td>\n    </tr>\n    <tr>\n      <th>test4</th>\n      <td>1.243197e+06</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 41
    }
   ],
   "source": [
    "xgb_pred2 = model.predict(dtest)\n",
    "xgb_pred2 = pd.DataFrame(xgb_pred2)\n",
    "\n",
    "xgb_pred2.index = X_test[\"id\"]\n",
    "xgb_pred2.columns = [\"SALE PRICE\"]\n",
    "# xgb_pred2[xgb_pred2[\"SALE PRICE\"] < 0] = y_train.median()       # hard code set < 0 to median\n",
    "xgb_pred2.to_csv(\"output/xgb2_submission.csv\")\n",
    "xgb_pred2.head()"
   ]
  },
  {
   "source": [
    "## Neural Network\n",
    "Our final and best submission was using a neural Network\n",
    "\n",
    "### Notes\n",
    "Our score could probably be improved by training with both `X_train` and `X_valid` data instead of just `X_train`\n",
    "\n",
    "Our parameters for the neural network could probably be improved further (number of hidden layers, number of neurons, `batch_size`, `epochs`)\n",
    "- Ideal epochs seems to be around 800 with `batch_size` = 100"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.layers import Dense, Activation\n",
    "from keras.models import Sequential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Epoch 1/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 95116572229632.0000\n",
      "Epoch 2/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 95091297353728.0000\n",
      "Epoch 3/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 94886011338752.0000\n",
      "Epoch 4/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 94277359108096.0000\n",
      "Epoch 5/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 93201637572608.0000\n",
      "Epoch 6/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 91861423226880.0000\n",
      "Epoch 7/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 90548505411584.0000\n",
      "Epoch 8/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 89399375167488.0000\n",
      "Epoch 9/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 88452016111616.0000\n",
      "Epoch 10/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 87650937602048.0000\n",
      "Epoch 11/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 86947309551616.0000\n",
      "Epoch 12/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 86317039878144.0000\n",
      "Epoch 13/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 85757821714432.0000\n",
      "Epoch 14/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 85255797080064.0000\n",
      "Epoch 15/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 84786261524480.0000\n",
      "Epoch 16/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 84343846338560.0000\n",
      "Epoch 17/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 83895433297920.0000\n",
      "Epoch 18/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 83464032354304.0000\n",
      "Epoch 19/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 82985822978048.0000\n",
      "Epoch 20/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 82529818247168.0000\n",
      "Epoch 21/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 82110589173760.0000\n",
      "Epoch 22/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 81722976763904.0000\n",
      "Epoch 23/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 81355471847424.0000\n",
      "Epoch 24/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 80993855733760.0000\n",
      "Epoch 25/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 80644545708032.0000\n",
      "Epoch 26/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 80314151993344.0000\n",
      "Epoch 27/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 79994361479168.0000\n",
      "Epoch 28/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 79656795504640.0000\n",
      "Epoch 29/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 79339840339968.0000\n",
      "Epoch 30/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 79018724425728.0000\n",
      "Epoch 31/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 78711105781760.0000\n",
      "Epoch 32/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 78414291664896.0000\n",
      "Epoch 33/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 78110364008448.0000\n",
      "Epoch 34/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 77813776384000.0000\n",
      "Epoch 35/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 77511861993472.0000\n",
      "Epoch 36/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 77235314753536.0000\n",
      "Epoch 37/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 76938995564544.0000\n",
      "Epoch 38/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 76665350782976.0000\n",
      "Epoch 39/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 76396261015552.0000\n",
      "Epoch 40/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 76092996059136.0000\n",
      "Epoch 41/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 75851781636096.0000\n",
      "Epoch 42/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 75561326084096.0000\n",
      "Epoch 43/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 75284795621376.0000\n",
      "Epoch 44/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 75017048031232.0000\n",
      "Epoch 45/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 74764987138048.0000\n",
      "Epoch 46/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 74478499397632.0000\n",
      "Epoch 47/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 74230574088192.0000\n",
      "Epoch 48/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 73964135120896.0000\n",
      "Epoch 49/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 73696664354816.0000\n",
      "Epoch 50/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 73455726755840.0000\n",
      "Epoch 51/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 73206853533696.0000\n",
      "Epoch 52/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 72965622333440.0000\n",
      "Epoch 53/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 72714752622592.0000\n",
      "Epoch 54/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 72478017716224.0000\n",
      "Epoch 55/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 72257590263808.0000\n",
      "Epoch 56/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 71997274980352.0000\n",
      "Epoch 57/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 71766907027456.0000\n",
      "Epoch 58/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 71554960457728.0000\n",
      "Epoch 59/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 71314266128384.0000\n",
      "Epoch 60/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 71074762981376.0000\n",
      "Epoch 61/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 70851391127552.0000\n",
      "Epoch 62/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 70618758250496.0000\n",
      "Epoch 63/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 70396929900544.0000\n",
      "Epoch 64/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 70190679195648.0000\n",
      "Epoch 65/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 69955441655808.0000\n",
      "Epoch 66/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 69736104722432.0000\n",
      "Epoch 67/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 69529401032704.0000\n",
      "Epoch 68/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 69308675784704.0000\n",
      "Epoch 69/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 69096641134592.0000\n",
      "Epoch 70/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 68874024255488.0000\n",
      "Epoch 71/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 68658533498880.0000\n",
      "Epoch 72/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 68459262115840.0000\n",
      "Epoch 73/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 68247101636608.0000\n",
      "Epoch 74/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 68037487099904.0000\n",
      "Epoch 75/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 67818288578560.0000\n",
      "Epoch 76/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 67617775681536.0000\n",
      "Epoch 77/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 67393820819456.0000\n",
      "Epoch 78/800\n",
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      "Epoch 79/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 66966693871616.0000\n",
      "Epoch 80/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 66757695897600.0000\n",
      "Epoch 81/800\n",
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      "Epoch 82/800\n",
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      "Epoch 83/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 66145721778176.0000\n",
      "Epoch 84/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 65935410987008.0000\n",
      "Epoch 85/800\n",
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      "Epoch 86/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 65495717904384.0000\n",
      "Epoch 87/800\n",
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      "Epoch 88/800\n",
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      "Epoch 89/800\n",
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      "Epoch 90/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 64687622324224.0000\n",
      "Epoch 91/800\n",
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      "Epoch 92/800\n",
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      "Epoch 93/800\n",
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      "Epoch 94/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 63833615892480.0000\n",
      "Epoch 95/800\n",
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      "Epoch 96/800\n",
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      "Epoch 97/800\n",
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      "Epoch 98/800\n",
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      "Epoch 99/800\n",
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      "Epoch 100/800\n",
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      "Epoch 101/800\n",
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      "Epoch 102/800\n",
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      "Epoch 103/800\n",
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      "Epoch 104/800\n",
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      "Epoch 105/800\n",
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      "Epoch 106/800\n",
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      "Epoch 107/800\n",
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      "Epoch 108/800\n",
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      "Epoch 109/800\n",
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      "Epoch 110/800\n",
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      "Epoch 111/800\n",
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      "Epoch 112/800\n",
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      "Epoch 113/800\n",
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      "Epoch 114/800\n",
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      "Epoch 115/800\n",
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      "Epoch 116/800\n",
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      "Epoch 117/800\n",
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      "Epoch 118/800\n",
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      "Epoch 119/800\n",
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      "Epoch 120/800\n",
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      "Epoch 121/800\n",
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      "Epoch 122/800\n",
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      "Epoch 123/800\n",
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      "Epoch 124/800\n",
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      "Epoch 125/800\n",
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      "Epoch 126/800\n",
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      "Epoch 127/800\n",
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      "Epoch 128/800\n",
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      "Epoch 129/800\n",
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      "Epoch 130/800\n",
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      "Epoch 131/800\n",
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      "Epoch 132/800\n",
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      "Epoch 133/800\n",
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      "Epoch 134/800\n",
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      "223/223 [==============================] - 0s 1ms/step - loss: 24606580670464.0000\n",
      "Epoch 702/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 24636324577280.0000\n",
      "Epoch 703/800\n",
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      "Epoch 704/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 24493955219456.0000\n",
      "Epoch 705/800\n",
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      "Epoch 706/800\n",
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      "Epoch 707/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 24402437603328.0000\n",
      "Epoch 708/800\n",
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      "Epoch 709/800\n",
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      "Epoch 710/800\n",
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      "Epoch 711/800\n",
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      "Epoch 712/800\n",
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      "Epoch 713/800\n",
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      "Epoch 714/800\n",
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      "Epoch 715/800\n",
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      "Epoch 716/800\n",
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      "Epoch 717/800\n",
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      "Epoch 718/800\n",
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      "Epoch 719/800\n",
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      "Epoch 720/800\n",
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      "Epoch 721/800\n",
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      "Epoch 722/800\n",
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      "Epoch 723/800\n",
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      "Epoch 724/800\n",
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      "Epoch 725/800\n",
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      "Epoch 726/800\n",
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      "Epoch 727/800\n",
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      "Epoch 728/800\n",
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      "Epoch 731/800\n",
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      "Epoch 732/800\n",
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      "Epoch 733/800\n",
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      "Epoch 734/800\n",
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      "Epoch 735/800\n",
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      "Epoch 736/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23734278684672.0000\n",
      "Epoch 737/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23700273364992.0000\n",
      "Epoch 738/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23658598760448.0000\n",
      "Epoch 739/800\n",
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      "Epoch 740/800\n",
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      "Epoch 741/800\n",
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      "Epoch 742/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23580112846848.0000\n",
      "Epoch 743/800\n",
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      "Epoch 744/800\n",
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      "Epoch 745/800\n",
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      "Epoch 746/800\n",
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      "Epoch 747/800\n",
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      "Epoch 748/800\n",
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      "Epoch 749/800\n",
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      "Epoch 750/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 23357472899072.0000\n",
      "Epoch 751/800\n",
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      "Epoch 752/800\n",
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      "Epoch 753/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23284796096512.0000\n",
      "Epoch 754/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23263224791040.0000\n",
      "Epoch 755/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23191753850880.0000\n",
      "Epoch 756/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23224001757184.0000\n",
      "Epoch 757/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23188964638720.0000\n",
      "Epoch 758/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23132156985344.0000\n",
      "Epoch 759/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23104304709632.0000\n",
      "Epoch 760/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23090591432704.0000\n",
      "Epoch 761/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 23024004759552.0000\n",
      "Epoch 762/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 22993287774208.0000\n",
      "Epoch 763/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22975615074304.0000\n",
      "Epoch 764/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 23005629513728.0000\n",
      "Epoch 765/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22951210516480.0000\n",
      "Epoch 766/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22916668325888.0000\n",
      "Epoch 767/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22911117164544.0000\n",
      "Epoch 768/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22900895645696.0000\n",
      "Epoch 769/800\n",
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      "Epoch 770/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22835296731136.0000\n",
      "Epoch 771/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 22841812582400.0000\n",
      "Epoch 772/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22695362166784.0000\n",
      "Epoch 773/800\n",
      "223/223 [==============================] - 1s 2ms/step - loss: 22728736243712.0000\n",
      "Epoch 774/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 22748411723776.0000\n",
      "Epoch 775/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22663875526656.0000\n",
      "Epoch 776/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22571428872192.0000\n",
      "Epoch 777/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22672331243520.0000\n",
      "Epoch 778/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22577380589568.0000\n",
      "Epoch 779/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22578863276032.0000\n",
      "Epoch 780/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 22612258324480.0000\n",
      "Epoch 781/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22580283047936.0000\n",
      "Epoch 782/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22544235102208.0000\n",
      "Epoch 783/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22450746163200.0000\n",
      "Epoch 784/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22501226708992.0000\n",
      "Epoch 785/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 22461999480832.0000\n",
      "Epoch 786/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 22354937774080.0000\n",
      "Epoch 787/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22392680218624.0000\n",
      "Epoch 788/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 22373474500608.0000\n",
      "Epoch 789/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22306774581248.0000\n",
      "Epoch 790/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22342082232320.0000\n",
      "Epoch 791/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22255214002176.0000\n",
      "Epoch 792/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22269566910464.0000\n",
      "Epoch 793/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22250539450368.0000\n",
      "Epoch 794/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22261134262272.0000\n",
      "Epoch 795/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22199488479232.0000\n",
      "Epoch 796/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22155205017600.0000\n",
      "Epoch 797/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22068154335232.0000\n",
      "Epoch 798/800\n",
      "223/223 [==============================] - 0s 2ms/step - loss: 22027052253184.0000\n",
      "Epoch 799/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22153676193792.0000\n",
      "Epoch 800/800\n",
      "223/223 [==============================] - 0s 1ms/step - loss: 22080972128256.0000\n",
      "Wall time: 4min 18s\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x258e39748c8>"
      ]
     },
     "metadata": {},
     "execution_count": 58
    }
   ],
   "source": [
    "%%time\n",
    "# Initialising the ANN\n",
    "model = Sequential()\n",
    "\n",
    "# Adding the input layer and the first hidden layer\n",
    "model.add(Dense(32, activation = 'relu', input_dim = 237))\n",
    "\n",
    "# Adding the second hidden layer\n",
    "model.add(Dense(units = 32, activation = 'relu'))\n",
    "\n",
    "# Adding the third hidden layer\n",
    "model.add(Dense(units = 32, activation = 'relu'))\n",
    "\n",
    "# Adding the output layer\n",
    "\n",
    "model.add(Dense(units = 1))\n",
    "\n",
    "#model.add(Dense(1))\n",
    "# Compiling the ANN\n",
    "model.compile(optimizer = 'adam', loss = 'mean_squared_error')\n",
    "\n",
    "# Fitting the ANN to the Training set\n",
    "history = model.fit(X_train_scaled, y_train, batch_size = 100, epochs = 800)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "RMSE: 5702421.003629562\nWall time: 428 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "nn_y_pred = model.predict(X_valid_scaled)\n",
    "\n",
    "print(\"RMSE: \" + str(rmse(y_valid, nn_y_pred)))\n",
    "\n",
    "plt.plot(y_valid, color = 'red', label = 'Real data')\n",
    "plt.plot(nn_y_pred, color = 'blue', label = 'Predicted data')\n",
    "plt.title('Prediction')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "### RMSEs for validation\n",
    "500 epochs RMSE: 6102091.199605403\n",
    "\n",
    "800 epochs RMSE: 5702421.003629562  <- Best Private and Public leaderboard score (late submission)\n",
    "\n",
    "1000 epochs RMSE: 5157427.023447699 <- Final submission\n",
    "\n",
    "110 epochs RMSE: 5083102.965332624\n",
    "\n",
    "1200 epochs RMSE: 4669115.665365743\n",
    "\n",
    "1400 epochs RMSE: 4398571.978872207"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(history.history['loss'])\n",
    "plt.title(\"MSE Loss per Iteration\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         SALE PRICE\n",
       "id                 \n",
       "test0  2.572925e+07\n",
       "test1  6.434898e+05\n",
       "test2  5.217397e+05\n",
       "test3  1.145729e+06\n",
       "test4  1.335121e+06"
      ],
      "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>SALE PRICE</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>test0</th>\n      <td>2.572925e+07</td>\n    </tr>\n    <tr>\n      <th>test1</th>\n      <td>6.434898e+05</td>\n    </tr>\n    <tr>\n      <th>test2</th>\n      <td>5.217397e+05</td>\n    </tr>\n    <tr>\n      <th>test3</th>\n      <td>1.145729e+06</td>\n    </tr>\n    <tr>\n      <th>test4</th>\n      <td>1.335121e+06</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 60
    }
   ],
   "source": [
    "nn_submission = pd.DataFrame(model.predict(X_test_scaled))\n",
    "nn_submission.index = X_test[\"id\"]\n",
    "nn_submission.columns = [\"SALE PRICE\"]\n",
    "# nn_submission[nn_submission[\"SALE PRICE\"] < 0] = y_train.median()       # hard code set < 0 to median (unnecessary, there were no negatives)\n",
    "nn_submission.to_csv(\"output/nn_submission800.csv\")\n",
    "nn_submission.head()"
   ]
  },
  {
   "source": [
    "# Submit to Kaggle\n",
    "Run this command to submit directly to Kaggle through the Kaggle CLI"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Warning: Looks like you're using an outdated API Version, please consider updating (server 1.5.10 / client 1.5.9)\n",
      "Successfully submitted to SAAS 2020 Fall CX Kaggle Compeition\n",
      "\n",
      "  0%|          | 0.00/178k [00:00<?, ?B/s]\n",
      "  5%|▍         | 8.00k/178k [00:00<00:02, 76.6kB/s]\n",
      " 50%|████▉     | 88.0k/178k [00:00<00:00, 105kB/s] \n",
      " 63%|██████▎   | 112k/178k [00:00<00:00, 99.9kB/s]\n",
      " 77%|███████▋  | 136k/178k [00:00<00:00, 98.5kB/s]\n",
      " 90%|█████████ | 160k/178k [00:01<00:00, 97.4kB/s]\n",
      " 99%|█████████▉| 176k/178k [00:01<00:00, 95.6kB/s]\n",
      "100%|██████████| 178k/178k [00:03<00:00, 58.4kB/s]\n"
     ]
    }
   ],
   "source": [
    "!kaggle competitions submit -c saas-2020-fall-cx-kaggle-compeition -f output/nn_submission800.csv -m \"epochs=800\""
   ]
  }
 ]
}