5.ModelData.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "first-hostel",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "present-patient",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\robin\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3165: DtypeWarning: Columns (3) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('D:/Data/HousingInventory_EDA.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "serious-studio",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>RE</th>\n",
       "      <th>mail_city</th>\n",
       "      <th>mail_state</th>\n",
       "      <th>mail_zipcode</th>\n",
       "      <th>subdivision_name</th>\n",
       "      <th>neighborhood</th>\n",
       "      <th>perc_capped</th>\n",
       "      <th>just_value</th>\n",
       "      <th>perc_school_deduction</th>\n",
       "      <th>perc_county_deduction</th>\n",
       "      <th>...</th>\n",
       "      <th>city</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>RE_b</th>\n",
       "      <th>sec_township_range</th>\n",
       "      <th>inv_group</th>\n",
       "      <th>mailing_address</th>\n",
       "      <th>site_address</th>\n",
       "      <th>bldng_proportion</th>\n",
       "      <th>adj_just_value</th>\n",
       "      <th>owner_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000006 0030</td>\n",
       "      <td>JACKSONVILLE</td>\n",
       "      <td>FL</td>\n",
       "      <td>32234</td>\n",
       "      <td>SECTION LAND</td>\n",
       "      <td>417300.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>228683</td>\n",
       "      <td>-0.1093</td>\n",
       "      <td>-0.2186</td>\n",
       "      <td>...</td>\n",
       "      <td>JACKSONVILLE</td>\n",
       "      <td>32234</td>\n",
       "      <td>000006 0030 1</td>\n",
       "      <td>1 2S 23E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2503 SUMMERFIELD LN</td>\n",
       "      <td>2503 SUMMERFIELD LN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>228683</td>\n",
       "      <td>PRIMARY RESIDENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000007 0010</td>\n",
       "      <td>JACKSONVILLE</td>\n",
       "      <td>FL</td>\n",
       "      <td>32257</td>\n",
       "      <td>SECTION LAND</td>\n",
       "      <td>417300.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75449</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>JACKSONVILLE</td>\n",
       "      <td>32234</td>\n",
       "      <td>000007 0010 1</td>\n",
       "      <td>1 2S 23E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9540 SAN JOSE BLVD</td>\n",
       "      <td>2610 N US 301 HWY</td>\n",
       "      <td>1.0</td>\n",
       "      <td>75449</td>\n",
       "      <td>SECONDARY RESIDENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000009 0100</td>\n",
       "      <td>BALDWIN</td>\n",
       "      <td>FL</td>\n",
       "      <td>32234</td>\n",
       "      <td>SECTION LAND</td>\n",
       "      <td>417300.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>193391</td>\n",
       "      <td>-0.3320</td>\n",
       "      <td>-0.4612</td>\n",
       "      <td>...</td>\n",
       "      <td>JACKSONVILLE</td>\n",
       "      <td>32234</td>\n",
       "      <td>000009 0100 1</td>\n",
       "      <td>12 2S 23E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2495 US 301 HWY N</td>\n",
       "      <td>2495 N US 301 HWY</td>\n",
       "      <td>1.0</td>\n",
       "      <td>193391</td>\n",
       "      <td>PRIMARY RESIDENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000011 0000</td>\n",
       "      <td>BALDWIN</td>\n",
       "      <td>FL</td>\n",
       "      <td>32234</td>\n",
       "      <td>SECTION LAND</td>\n",
       "      <td>417300.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95301</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>JACKSONVILLE</td>\n",
       "      <td>32234</td>\n",
       "      <td>000011 0000 1</td>\n",
       "      <td>12 2S 23E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2425 US HWY 301 N</td>\n",
       "      <td>2435 N US 301 HWY</td>\n",
       "      <td>1.0</td>\n",
       "      <td>95301</td>\n",
       "      <td>SECONDARY RESIDENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000012 0010</td>\n",
       "      <td>JACKSONVILLE</td>\n",
       "      <td>FL</td>\n",
       "      <td>32234</td>\n",
       "      <td>SECTION LAND</td>\n",
       "      <td>417300.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>121447</td>\n",
       "      <td>-0.3491</td>\n",
       "      <td>-0.5550</td>\n",
       "      <td>...</td>\n",
       "      <td>JACKSONVILLE</td>\n",
       "      <td>32234</td>\n",
       "      <td>000012 0010 1</td>\n",
       "      <td>12 2S 23E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2204 US HWY 301 N</td>\n",
       "      <td>2204 N US 301 HWY</td>\n",
       "      <td>1.0</td>\n",
       "      <td>121447</td>\n",
       "      <td>PRIMARY RESIDENCE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 87 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            RE     mail_city mail_state mail_zipcode subdivision_name  \\\n",
       "0  000006 0030  JACKSONVILLE         FL        32234     SECTION LAND   \n",
       "1  000007 0010  JACKSONVILLE         FL        32257     SECTION LAND   \n",
       "2  000009 0100       BALDWIN         FL        32234     SECTION LAND   \n",
       "3  000011 0000       BALDWIN         FL        32234     SECTION LAND   \n",
       "4  000012 0010  JACKSONVILLE         FL        32234     SECTION LAND   \n",
       "\n",
       "   neighborhood  perc_capped  just_value  perc_school_deduction  \\\n",
       "0      417300.2          1.0      228683                -0.1093   \n",
       "1      417300.2          0.0       75449                 0.0000   \n",
       "2      417300.2          1.0      193391                -0.3320   \n",
       "3      417300.2          0.0       95301                 0.0000   \n",
       "4      417300.2          1.0      121447                -0.3491   \n",
       "\n",
       "   perc_county_deduction  ...          city  zipcode           RE_b  \\\n",
       "0                -0.2186  ...  JACKSONVILLE    32234  000006 0030 1   \n",
       "1                 0.0000  ...  JACKSONVILLE    32234  000007 0010 1   \n",
       "2                -0.4612  ...  JACKSONVILLE    32234  000009 0100 1   \n",
       "3                 0.0000  ...  JACKSONVILLE    32234  000011 0000 1   \n",
       "4                -0.5550  ...  JACKSONVILLE    32234  000012 0010 1   \n",
       "\n",
       "  sec_township_range  inv_group      mailing_address         site_address  \\\n",
       "0           1 2S 23E        NaN  2503 SUMMERFIELD LN  2503 SUMMERFIELD LN   \n",
       "1           1 2S 23E        NaN   9540 SAN JOSE BLVD    2610 N US 301 HWY   \n",
       "2          12 2S 23E        NaN    2495 US 301 HWY N    2495 N US 301 HWY   \n",
       "3          12 2S 23E        NaN    2425 US HWY 301 N    2435 N US 301 HWY   \n",
       "4          12 2S 23E        NaN    2204 US HWY 301 N    2204 N US 301 HWY   \n",
       "\n",
       "   bldng_proportion  adj_just_value           owner_type  \n",
       "0               1.0          228683    PRIMARY RESIDENCE  \n",
       "1               1.0           75449  SECONDARY RESIDENCE  \n",
       "2               1.0          193391    PRIMARY RESIDENCE  \n",
       "3               1.0           95301  SECONDARY RESIDENCE  \n",
       "4               1.0          121447    PRIMARY RESIDENCE  \n",
       "\n",
       "[5 rows x 87 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dimensional-stanley",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(252717, 87)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bulgarian-teens",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(252717, 69)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(columns=[\n",
    "    'mail_city', 'mail_state', 'mail_zipcode', 'building', 'actual_yr_built', 'effec_yr_built',\n",
    "    'owner', 'city', 'RE_b', 'sec_township_range', 'inv_group', \n",
    "    'mailing_address', 'site_address', 'owner_type', 'subdivision_name', 'neighborhood',\n",
    "    'adj_just_value', 'bldng_proportion'\n",
    "    ])\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "national-norway",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "251301"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hsf = df[['RE','heated_sf']].groupby('RE').sum().reset_index()['heated_sf'].to_list()\n",
    "len(hsf)\n",
    "gsf = df[['RE','gross_sf']].groupby('RE').sum().reset_index()['gross_sf'].to_list()\n",
    "len(hsf)\n",
    "esf = df[['RE','effec_sf']].groupby('RE').sum().reset_index()['effec_sf'].to_list()\n",
    "len(hsf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "urban-department",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "251301"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homes = df[['RE','just_value']].groupby('RE').count().reset_index()['just_value'].to_list()\n",
    "len(homes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "quarterly-genome",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=['heated_sf','gross_sf','effec_sf'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "objective-posting",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df.groupby('RE', axis=0).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "manufactured-meeting",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop_duplicates(subset='RE', inplace=True)\n",
    "df = df[['RE','type_descr', 'tax_district']]\n",
    "df = df.merge(df2, on='RE', how='left')\n",
    "df['heated_sf'] = hsf\n",
    "df['gross_sf'] = gsf\n",
    "df['effec_sf'] = esf\n",
    "df['home_count'] = homes\n",
    "df['zipcode'] = df.zipcode.astype('int').astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "surface-international",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.get_dummies(df, columns=['zipcode'], prefix='z')\n",
    "df = pd.get_dummies(df, columns=['tax_district'], prefix='td')\n",
    "df = pd.get_dummies(df, columns=['type_descr'], prefix='type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "referenced-paragraph",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(251301, 147)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "connected-evidence",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>RE</th>\n",
       "      <th>sale_id</th>\n",
       "      <th>seller</th>\n",
       "      <th>sale_date</th>\n",
       "      <th>price</th>\n",
       "      <th>building</th>\n",
       "      <th>actual_yr_built</th>\n",
       "      <th>heated_sf</th>\n",
       "      <th>age_at_sale</th>\n",
       "      <th>neighborhood</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>017964 0000</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1985-09-20</td>\n",
       "      <td>40500</td>\n",
       "      <td>1</td>\n",
       "      <td>1962</td>\n",
       "      <td>1075</td>\n",
       "      <td>23</td>\n",
       "      <td>412602.26</td>\n",
       "      <td>32210.0</td>\n",
       "      <td>6529 HUGH CT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>112600 0000</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2006-11-30</td>\n",
       "      <td>185000</td>\n",
       "      <td>1</td>\n",
       "      <td>1963</td>\n",
       "      <td>1644</td>\n",
       "      <td>43</td>\n",
       "      <td>214701.26</td>\n",
       "      <td>32277.0</td>\n",
       "      <td>5560 MAXINE DR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>167759 7350</td>\n",
       "      <td>4</td>\n",
       "      <td>REGIONS MORTGAGE</td>\n",
       "      <td>2002-07-10</td>\n",
       "      <td>274000</td>\n",
       "      <td>1</td>\n",
       "      <td>1999</td>\n",
       "      <td>3186</td>\n",
       "      <td>3</td>\n",
       "      <td>314411.28</td>\n",
       "      <td>32256.0</td>\n",
       "      <td>8714 E HAMPTON LANDING DR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>140237 0000</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1988-07-18</td>\n",
       "      <td>77500</td>\n",
       "      <td>1</td>\n",
       "      <td>1961</td>\n",
       "      <td>1924</td>\n",
       "      <td>27</td>\n",
       "      <td>215801.23</td>\n",
       "      <td>32216.0</td>\n",
       "      <td>1340 GROVE PARK BLVD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>010427 1020</td>\n",
       "      <td>6</td>\n",
       "      <td>POTEET MATTHEW D STEPHANIE J</td>\n",
       "      <td>2006-03-03</td>\n",
       "      <td>179000</td>\n",
       "      <td>1</td>\n",
       "      <td>1986</td>\n",
       "      <td>1533</td>\n",
       "      <td>20</td>\n",
       "      <td>412602.32</td>\n",
       "      <td>32210.0</td>\n",
       "      <td>7213 MIMOSA GROVE TRL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            RE  sale_id                        seller   sale_date   price  \\\n",
       "0  017964 0000        1                           NaN  1985-09-20   40500   \n",
       "1  112600 0000        6                           NaN  2006-11-30  185000   \n",
       "2  167759 7350        4              REGIONS MORTGAGE  2002-07-10  274000   \n",
       "3  140237 0000        2                           NaN  1988-07-18   77500   \n",
       "4  010427 1020        6  POTEET MATTHEW D STEPHANIE J  2006-03-03  179000   \n",
       "\n",
       "   building  actual_yr_built  heated_sf  age_at_sale  neighborhood  zipcode  \\\n",
       "0         1             1962       1075           23     412602.26  32210.0   \n",
       "1         1             1963       1644           43     214701.26  32277.0   \n",
       "2         1             1999       3186            3     314411.28  32256.0   \n",
       "3         1             1961       1924           27     215801.23  32216.0   \n",
       "4         1             1986       1533           20     412602.32  32210.0   \n",
       "\n",
       "                     address  \n",
       "0               6529 HUGH CT  \n",
       "1             5560 MAXINE DR  \n",
       "2  8714 E HAMPTON LANDING DR  \n",
       "3       1340 GROVE PARK BLVD  \n",
       "4      7213 MIMOSA GROVE TRL  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.read_csv(\"D:/Data/HomeSales.csv\")\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "piano-prospect",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49111, 5)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = df2[['RE', 'sale_id', 'sale_date', 'price', 'age_at_sale']]\n",
    "df2['sale_date'] = pd.to_datetime(df2['sale_date'])\n",
    "df2 = df2[df2['sale_date']>='2017']\n",
    "df2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "technological-marks",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df2.merge(df,how='left',on='RE')\n",
    "df2.drop(columns='RE', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "liable-strengthening",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sale_id</th>\n",
       "      <th>sale_date</th>\n",
       "      <th>price</th>\n",
       "      <th>age_at_sale</th>\n",
       "      <th>perc_capped</th>\n",
       "      <th>just_value</th>\n",
       "      <th>perc_school_deduction</th>\n",
       "      <th>perc_county_deduction</th>\n",
       "      <th>lot_sf</th>\n",
       "      <th>class</th>\n",
       "      <th>...</th>\n",
       "      <th>td_USD2B</th>\n",
       "      <th>td_USD3</th>\n",
       "      <th>td_USD4</th>\n",
       "      <th>td_USD5</th>\n",
       "      <th>type_SFR 1 STORY</th>\n",
       "      <th>type_SFR 2 STORY</th>\n",
       "      <th>type_SFR 3 STORY</th>\n",
       "      <th>type_SFR CLASS 2</th>\n",
       "      <th>type_SFR CLASS 3</th>\n",
       "      <th>type_SFR SPLIT-LEVEL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>2018-12-06</td>\n",
       "      <td>222700</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>196871.0</td>\n",
       "      <td>-0.1784</td>\n",
       "      <td>-0.3054</td>\n",
       "      <td>14895.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>2018-11-30</td>\n",
       "      <td>201000</td>\n",
       "      <td>28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>194662.0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>6958.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>2017-09-19</td>\n",
       "      <td>292000</td>\n",
       "      <td>57</td>\n",
       "      <td>1.0</td>\n",
       "      <td>263120.0</td>\n",
       "      <td>-0.1275</td>\n",
       "      <td>-0.2226</td>\n",
       "      <td>7346.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>2017-06-08</td>\n",
       "      <td>250000</td>\n",
       "      <td>39</td>\n",
       "      <td>1.0</td>\n",
       "      <td>239722.0</td>\n",
       "      <td>-0.1309</td>\n",
       "      <td>-0.2352</td>\n",
       "      <td>10624.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2017-04-28</td>\n",
       "      <td>580000</td>\n",
       "      <td>17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>602899.0</td>\n",
       "      <td>-0.1632</td>\n",
       "      <td>-0.2047</td>\n",
       "      <td>58704.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 150 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   sale_id  sale_date   price  age_at_sale  perc_capped  just_value  \\\n",
       "0        3 2018-12-06  222700            1          1.0    196871.0   \n",
       "1        3 2018-11-30  201000           28          0.0    194662.0   \n",
       "2        7 2017-09-19  292000           57          1.0    263120.0   \n",
       "3        5 2017-06-08  250000           39          1.0    239722.0   \n",
       "4        4 2017-04-28  580000           17          1.0    602899.0   \n",
       "\n",
       "   perc_school_deduction  perc_county_deduction   lot_sf  class  ...  \\\n",
       "0                -0.1784                -0.3054  14895.0    4.0  ...   \n",
       "1                 0.0000                 0.0000   6958.0    4.0  ...   \n",
       "2                -0.1275                -0.2226   7346.0    3.0  ...   \n",
       "3                -0.1309                -0.2352  10624.0    4.0  ...   \n",
       "4                -0.1632                -0.2047  58704.0    4.0  ...   \n",
       "\n",
       "   td_USD2B  td_USD3  td_USD4  td_USD5  type_SFR 1 STORY  type_SFR 2 STORY  \\\n",
       "0         0        0        0        0                 1                 0   \n",
       "1         0        0        0        0                 1                 0   \n",
       "2         0        1        0        0                 1                 0   \n",
       "3         0        0        0        0                 1                 0   \n",
       "4         0        0        0        0                 0                 0   \n",
       "\n",
       "   type_SFR 3 STORY  type_SFR CLASS 2  type_SFR CLASS 3  type_SFR SPLIT-LEVEL  \n",
       "0                 0                 0                 0                     0  \n",
       "1                 0                 0                 0                     0  \n",
       "2                 0                 0                 0                     0  \n",
       "3                 0                 0                 0                     0  \n",
       "4                 0                 1                 0                     0  \n",
       "\n",
       "[5 rows x 150 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "norman-frontier",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "df2['class'] = [math.ceil(x) for x in df2['class']]\n",
    "df2['class'] = df2['class'].astype('category')\n",
    "df2['quality'] = [math.ceil(x) for x in df2['quality']]\n",
    "df2['quality'] = df2['quality'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "increased-paintball",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.drop(columns=['sale_id', 'parcel_bldng_sf', 'sale_date'], inplace=True)\n",
    "df2['just_value'] = df2.just_value.astype('int64')\n",
    "df2['lot_sf'] = df2.lot_sf.astype('int64')\n",
    "df2['age'] = df2.age.astype('int64')\n",
    "df2['effec_age'] = df2.effec_age.astype('int64')\n",
    "df2['building_value'] = df2.building_value.astype('int64')\n",
    "df2['bldng_count'] = df2.bldng_count.astype('int64')\n",
    "df2['land_value'] = df2.land_value.astype('int64')\n",
    "df2['feature_count'] = df2.feature_count.astype('int64')\n",
    "df2['features_value'] = df2.features_value.astype('int64')\n",
    "df2['sub_ft_count'] = df2.sub_ft_count.astype('int64')\n",
    "df2['gross_sf'] = df2.gross_sf.astype('int64')\n",
    "df2['effec_sf'] = df2.effec_sf.astype('int64')\n",
    "df2['land_use_count'] = df2.land_use_count.astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "peaceful-comparison",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49111, 147)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_list = pd.Series([x if x[:2] in['d_','z_','td'] else None for x in df2.columns]).dropna().to_list()\n",
    "col_list2 = pd.Series([x if x[:3]=='ft_' else None for x in df2.columns]).dropna().to_list()\n",
    "col_list3 = pd.Series([x if x[:4]=='sub_' else None for x in df2.columns]).dropna().to_list()\n",
    "col_list4 = pd.Series([x if x[:5]=='land_' else None for x in df2.columns]).dropna().to_list()\n",
    "col_list = col_list + col_list2 + col_list3 + col_list4\n",
    "col_list.remove('land_value')\n",
    "col_list.remove('land_use_count')\n",
    "col_list.remove('sub_ft_count')\n",
    "for col in col_list:\n",
    "    df2[col] = df2[col].astype('category')\n",
    "df2.dropna(inplace=True)\n",
    "df2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "expired-jewelry",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "from datetime import datetime,timedelta\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "#import plotly.graph_objects as go\n",
    "from sklearn.experimental import enable_iterative_imputer\n",
    "from sklearn.impute import IterativeImputer\n",
    "from sklearn.ensemble import ExtraTreesRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "annual-truck",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49111, 116)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VarName</th>\n",
       "      <th>LevelsCount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>class</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>quality</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ft_Carport_Al</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ft_Cov_Patio</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ft_Deck_Wd</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>td_USD2A</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>td_USD2B</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>td_USD3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>td_USD4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>td_USD5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>116 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           VarName  LevelsCount\n",
       "0            class            3\n",
       "1          quality            6\n",
       "2    ft_Carport_Al            3\n",
       "3     ft_Cov_Patio            3\n",
       "4       ft_Deck_Wd            4\n",
       "..             ...          ...\n",
       "111       td_USD2A            2\n",
       "112       td_USD2B            2\n",
       "113        td_USD3            2\n",
       "114        td_USD4            2\n",
       "115        td_USD5            2\n",
       "\n",
       "[116 rows x 2 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfo = df2.select_dtypes(include=['category'])\n",
    "print(dfo.shape)\n",
    "\n",
    "vn = pd.DataFrame(dfo.nunique()).reset_index()\n",
    "vn.columns = ['VarName', 'LevelsCount']\n",
    "vn.sort_values(by='LevelsCount', ascending =False)\n",
    "vn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "individual-plumbing",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = df2.columns.to_list()\n",
    "for f in ['just_value','building_value','land_value']:\n",
    "    features.remove(f)\n",
    "fig, ax = plt.subplots(figsize=(16,18))\n",
    "sns.heatmap(df2[features].corr(),annot=True,cbar=False,fmt='0.00')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "tracked-working",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['p_rank'] = df2.price.rank(pct=True)\n",
    "df2['starter'] = [1 if x <= 0.33 else 0 for x in df2.p_rank]\n",
    "df2['starter'] = df2['starter'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "hydraulic-attraction",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = df2.columns.to_list()\n",
    "features.remove('price')\n",
    "features.remove('p_rank')\n",
    "features.remove('starter')\n",
    "\n",
    "X = df2[features]\n",
    "\n",
    "y = df2.starter\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ceramic-tanzania",
   "metadata": {},
   "outputs": [],
   "source": [
    "#scale data\n",
    "from sklearn import preprocessing\n",
    "import numpy as np\n",
    "# build scaler based on training data and apply it to test data to then also scale the test data\n",
    "scaler = preprocessing.StandardScaler().fit(X_train)\n",
    "X_train_scaled=scaler.transform(X_train)\n",
    "X_test_scaled=scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "continuous-campbell",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import precision_recall_curve\n",
    "from sklearn.metrics import f1_score\n",
    "from sklearn.metrics import auc\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from matplotlib import pyplot\n",
    "from sklearn.metrics import precision_recall_curve\n",
    "from sklearn.metrics import f1_score\n",
    "from sklearn.metrics import auc\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report,confusion_matrix,roc_curve,roc_auc_score\n",
    "from sklearn.metrics import accuracy_score,log_loss\n",
    "from matplotlib import pyplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "starting-ultimate",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest: Accuracy=0.929\n",
      "Random Forest: f1-score=0.929\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "clf = RandomForestClassifier(n_estimators=300, random_state = 1,n_jobs=-1, max_depth=15)\n",
    "model_res = clf.fit(X_train_scaled, y_train)\n",
    "y_pred = model_res.predict(X_test_scaled)\n",
    "y_pred_prob = model_res.predict_proba(X_test_scaled)\n",
    "lr_probs = y_pred_prob[:,1]\n",
    "ac = accuracy_score(y_test, y_pred)\n",
    "\n",
    "f1 = f1_score(y_test, y_pred, average='weighted')\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "print('Random Forest: Accuracy=%.3f' % (ac))\n",
    "\n",
    "print('Random Forest: f1-score=%.3f' % (f1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "apparent-worry",
   "metadata": {},
   "outputs": [],
   "source": [
    "class_names=['Starter Home','Non-Starter Home']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "included-milton",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion matrix, without normalization\n",
      "[[7891  420]\n",
      " [ 451 3516]]\n",
      "Normalized confusion matrix\n",
      "[[0.95 0.05]\n",
      " [0.11 0.89]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import itertools\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn import svm, datasets\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "def plot_confusion_matrix(cm, classes,\n",
    "                          normalize=False,\n",
    "                          title='Confusion matrix',\n",
    "                          cmap=plt.cm.Blues):\n",
    "    \"\"\"\n",
    "    This function prints and plots the confusion matrix.\n",
    "    Normalization can be applied by setting `normalize=True`.\n",
    "    \"\"\"\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "        print(\"Normalized confusion matrix\")\n",
    "    else:\n",
    "        print('Confusion matrix, without normalization')\n",
    "\n",
    "    print(cm)\n",
    "\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=45)\n",
    "    plt.yticks(tick_marks, classes)\n",
    "\n",
    "    fmt = '.2f' if normalize else 'd'\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, format(cm[i, j], fmt),\n",
    "                 horizontalalignment=\"center\",\n",
    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "    plt.tight_layout()\n",
    "\n",
    "\n",
    "# Compute confusion matrix\n",
    "cnf_matrix = confusion_matrix(y_test, y_pred)\n",
    "np.set_printoptions(precision=2)\n",
    "\n",
    "# Plot non-normalized confusion matrix\n",
    "plt.figure()\n",
    "plot_confusion_matrix(cnf_matrix, classes=class_names,\n",
    "                      title='Confusion matrix, without normalization')\n",
    "#plt.savefig('figures/RF_cm_multi_class.png')\n",
    "\n",
    "# Plot normalized confusion matrix\n",
    "plt.figure()\n",
    "plot_confusion_matrix(cnf_matrix, classes=class_names, normalize=True,\n",
    "                      title='Normalized confusion matrix')\n",
    "#plt.savefig('figures/RF_cm_proportion_multi_class.png', bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "heated-purse",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "30\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature_importance = clf.feature_importances_\n",
    "# make importances relative to max importance\n",
    "feature_importance = 100.0 * (feature_importance / feature_importance.max())[:30]\n",
    "sorted_idx = np.argsort(feature_importance)[:30]\n",
    "\n",
    "pos = np.arange(sorted_idx.shape[0]) + .5\n",
    "print(pos.size)\n",
    "sorted_idx.size\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.barh(pos, feature_importance[sorted_idx], align='center')\n",
    "plt.yticks(pos, X.columns[sorted_idx])\n",
    "plt.xlabel('Relative Importance')\n",
    "plt.title('Variable Importance')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "enormous-discovery",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-31-9840f2993ee4>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df3['starter'] = df2['starter']\n"
     ]
    }
   ],
   "source": [
    "df3 = df2[X.columns[sorted_idx[21:30]].to_list()]\n",
    "df3['starter'] = df2['starter']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "departmental-pattern",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49111, 10)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "worthy-argument",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df3.drop(columns='starter')\n",
    "\n",
    "y = df3.starter\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "funky-sugar",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomizedSearchCV(cv=5, estimator=KNeighborsClassifier(),\n",
       "                   param_distributions={'n_neighbors': array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
       "       35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])})"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "param_grid = {'n_neighbors':np.arange(1,50)}\n",
    "knn = KNeighborsClassifier()\n",
    "knn_cv= RandomizedSearchCV(knn,param_grid,cv=5)\n",
    "knn_cv.fit(X,y)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "casual-preview",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn_cv.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "available-eleven",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Score:0.9176766975424286\n",
      "Best Parameters: {'n_neighbors': 42}\n"
     ]
    }
   ],
   "source": [
    "print(\"Best Score:\" + str(knn_cv.best_score_))\n",
    "print(\"Best Parameters: \" + str(knn_cv.best_params_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "technological-appliance",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion matrix, without normalization\n",
      "[[7897  414]\n",
      " [ 481 3486]]\n",
      "Normalized confusion matrix\n",
      "[[0.95 0.05]\n",
      " [0.12 0.88]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors=26)\n",
    "knn.fit(X,y)\n",
    "y_pred = knn.predict(X_test)\n",
    "\n",
    "cnf_matrix = confusion_matrix(y_test, y_pred)\n",
    "np.set_printoptions(precision=2)\n",
    "\n",
    "# Plot non-normalized confusion matrix\n",
    "plt.figure()\n",
    "plot_confusion_matrix(cnf_matrix, classes=class_names,\n",
    "                      title='Confusion matrix, without normalization')\n",
    "#plt.savefig('figures/RF_cm_multi_class.png')\n",
    "\n",
    "# Plot normalized confusion matrix\n",
    "plt.figure()\n",
    "plot_confusion_matrix(cnf_matrix, classes=class_names, normalize=True,\n",
    "                      title='Normalized confusion matrix')\n",
    "#plt.savefig('figures/RF_cm_proportion_multi_class.png', bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "composed-blast",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.94      0.95      0.95      8311\n",
      "           1       0.89      0.88      0.89      3967\n",
      "\n",
      "    accuracy                           0.93     12278\n",
      "   macro avg       0.92      0.91      0.92     12278\n",
      "weighted avg       0.93      0.93      0.93     12278\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "extended-boutique",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}