Chapter2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import tarfile\n",
    "from six.moves import urllib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "DOWNLOAD_ROOT = \"https://raw.githubusercontent.com/ageron/handson-ml/master/\"\n",
    "HOUSING_PATH=os.path.join(\"datasets\", \"housing\")\n",
    "HOUSING_URL = DOWNLOAD_ROOT + \"datasets/housing/housing.tgz\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fetch_housing_data(housing_url = HOUSING_URL, housing_path = HOUSING_PATH):\n",
    "    if not os.path.isdir(housing_path):\n",
    "        os.makedirs(housing_path)\n",
    "    tgz_path = os.path.join(housing_path, \"housing.tgz\")\n",
    "    urllib.request.urlretrieve(housing_url, tgz_path)\n",
    "    housing_tgz = tarfile.open(tgz_path)\n",
    "    housing_tgz.extractall(path=housing_path)\n",
    "    housing_tgz.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "fetch_housing_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "def load_housing_data(housing_path=HOUSING_PATH):\n",
    "    csv_path = os.path.join(housing_path, \"housing.csv\")\n",
    "    return pd.read_csv(csv_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0    -122.23     37.88                41.0        880.0           129.0   \n",
       "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
       "2    -122.24     37.85                52.0       1467.0           190.0   \n",
       "3    -122.25     37.85                52.0       1274.0           235.0   \n",
       "4    -122.25     37.85                52.0       1627.0           280.0   \n",
       "\n",
       "   population  households  median_income  median_house_value ocean_proximity  \n",
       "0       322.0       126.0         8.3252            452600.0        NEAR BAY  \n",
       "1      2401.0      1138.0         8.3014            358500.0        NEAR BAY  \n",
       "2       496.0       177.0         7.2574            352100.0        NEAR BAY  \n",
       "3       558.0       219.0         5.6431            341300.0        NEAR BAY  \n",
       "4       565.0       259.0         3.8462            342200.0        NEAR BAY  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing = load_housing_data()\n",
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20640 entries, 0 to 20639\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   longitude           20640 non-null  float64\n",
      " 1   latitude            20640 non-null  float64\n",
      " 2   housing_median_age  20640 non-null  float64\n",
      " 3   total_rooms         20640 non-null  float64\n",
      " 4   total_bedrooms      20433 non-null  float64\n",
      " 5   population          20640 non-null  float64\n",
      " 6   households          20640 non-null  float64\n",
      " 7   median_income       20640 non-null  float64\n",
      " 8   median_house_value  20640 non-null  float64\n",
      " 9   ocean_proximity     20640 non-null  object \n",
      "dtypes: float64(9), object(1)\n",
      "memory usage: 1.6+ MB\n"
     ]
    }
   ],
   "source": [
    "housing.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<1H OCEAN     9136\n",
       "INLAND        6551\n",
       "NEAR OCEAN    2658\n",
       "NEAR BAY      2290\n",
       "ISLAND           5\n",
       "Name: ocean_proximity, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[\"ocean_proximity\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20433.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-119.569704</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>2635.763081</td>\n",
       "      <td>537.870553</td>\n",
       "      <td>1425.476744</td>\n",
       "      <td>499.539680</td>\n",
       "      <td>3.870671</td>\n",
       "      <td>206855.816909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.003532</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>12.585558</td>\n",
       "      <td>2181.615252</td>\n",
       "      <td>421.385070</td>\n",
       "      <td>1132.462122</td>\n",
       "      <td>382.329753</td>\n",
       "      <td>1.899822</td>\n",
       "      <td>115395.615874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-124.350000</td>\n",
       "      <td>32.540000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.499900</td>\n",
       "      <td>14999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-121.800000</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>1447.750000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>787.000000</td>\n",
       "      <td>280.000000</td>\n",
       "      <td>2.563400</td>\n",
       "      <td>119600.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-118.490000</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>2127.000000</td>\n",
       "      <td>435.000000</td>\n",
       "      <td>1166.000000</td>\n",
       "      <td>409.000000</td>\n",
       "      <td>3.534800</td>\n",
       "      <td>179700.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>-118.010000</td>\n",
       "      <td>37.710000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>3148.000000</td>\n",
       "      <td>647.000000</td>\n",
       "      <td>1725.000000</td>\n",
       "      <td>605.000000</td>\n",
       "      <td>4.743250</td>\n",
       "      <td>264725.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>-114.310000</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>39320.000000</td>\n",
       "      <td>6445.000000</td>\n",
       "      <td>35682.000000</td>\n",
       "      <td>6082.000000</td>\n",
       "      <td>15.000100</td>\n",
       "      <td>500001.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          longitude      latitude  housing_median_age   total_rooms  \\\n",
       "count  20640.000000  20640.000000        20640.000000  20640.000000   \n",
       "mean    -119.569704     35.631861           28.639486   2635.763081   \n",
       "std        2.003532      2.135952           12.585558   2181.615252   \n",
       "min     -124.350000     32.540000            1.000000      2.000000   \n",
       "25%     -121.800000     33.930000           18.000000   1447.750000   \n",
       "50%     -118.490000     34.260000           29.000000   2127.000000   \n",
       "75%     -118.010000     37.710000           37.000000   3148.000000   \n",
       "max     -114.310000     41.950000           52.000000  39320.000000   \n",
       "\n",
       "       total_bedrooms    population    households  median_income  \\\n",
       "count    20433.000000  20640.000000  20640.000000   20640.000000   \n",
       "mean       537.870553   1425.476744    499.539680       3.870671   \n",
       "std        421.385070   1132.462122    382.329753       1.899822   \n",
       "min          1.000000      3.000000      1.000000       0.499900   \n",
       "25%        296.000000    787.000000    280.000000       2.563400   \n",
       "50%        435.000000   1166.000000    409.000000       3.534800   \n",
       "75%        647.000000   1725.000000    605.000000       4.743250   \n",
       "max       6445.000000  35682.000000   6082.000000      15.000100   \n",
       "\n",
       "       median_house_value  \n",
       "count        20640.000000  \n",
       "mean        206855.816909  \n",
       "std         115395.615874  \n",
       "min          14999.000000  \n",
       "25%         119600.000000  \n",
       "50%         179700.000000  \n",
       "75%         264725.000000  \n",
       "max         500001.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe() \n",
    "#숫자형 특성만 보여줌"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "housing.hist(bins=50, figsize=(20,15))\n",
    "plt.show()\n",
    "#median_income의 값은 0.5~15 사이로 전처리 되어있음\n",
    "#오른쪽 끝 막대가 최대치 = 최댓값을 한정하여 이상치 처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_train_test(data, test_ratio):\n",
    "    shuffled_indices = np.random.permutation(len(data))\n",
    "    #np.random.permutation() -> data shuffle\n",
    "    test_set_size = int(len(data) * test_ratio)\n",
    "    test_indices = shuffled_indices[:test_set_size]\n",
    "    train_indices = shuffled_indices[test_set_size:,]\n",
    "    return data.iloc[train_indices], data.iloc[test_indices]\n",
    "#Dataframe.iloc[int형 row] -> 행 0 기준 슬라이싱"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_set, test_set = split_train_test(housing, 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16512 train +  4128 test\n"
     ]
    }
   ],
   "source": [
    "print(len(train_set), \"train + \", len(test_set), \"test\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zlib import crc32\n",
    "\n",
    "def test_set_check(identifier, test_ratio):\n",
    "    return crc32(np.int64(identifier)) & 0xfffffffff < test_ratio * 2 **32\n",
    "#CHK' ->test train data 생성을 위한 식별자 생성?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_train_test_by_id(data, test_ratio, id_column):\n",
    "    ids = data[id_column]\n",
    "    print(ids)\n",
    "    in_test_set = ids.apply(lambda id_: test_set_check(id_, test_ratio))\n",
    "    #ldmbda row: func() 각각의 row에 대한 함수 적용\n",
    "    return data.loc[~in_test_set], data.loc[in_test_set]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_with_id = housing.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0            0\n",
      "1            1\n",
      "2            2\n",
      "3            3\n",
      "4            4\n",
      "         ...  \n",
      "20635    20635\n",
      "20636    20636\n",
      "20637    20637\n",
      "20638    20638\n",
      "20639    20639\n",
      "Name: index, Length: 20640, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "train_set, test_set = split_train_test_by_id(housing_with_id, 0.2, \"index\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0       -122192.12\n",
      "1       -122182.14\n",
      "2       -122202.15\n",
      "3       -122212.15\n",
      "4       -122212.15\n",
      "           ...    \n",
      "20635   -121050.52\n",
      "20636   -121170.51\n",
      "20637   -121180.57\n",
      "20638   -121280.57\n",
      "20639   -121200.63\n",
      "Name: id, Length: 20640, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "housing_with_id[\"id\"] = housing[\"longitude\"] * 1000 + housing[\"latitude\"]\n",
    "train_set, test_set = split_train_test_by_id(housing_with_id, 0.2, \"id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "train_set, test_set = train_test_split(housing, test_size = 0.2, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1783., 5928., 4855., 2436.,  859.,  350.,  143.,   70.,   37.,\n",
       "          51.]),\n",
       " array([ 0.4999 ,  1.94992,  3.39994,  4.84996,  6.29998,  7.75   ,\n",
       "         9.20002, 10.65004, 12.10006, 13.55008, 15.0001 ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAD4CAYAAAAAczaOAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAASQElEQVR4nO3dcayd9X3f8fendkpIWisgbOb6WjOdrLSAlhCumDukaivtcEsU8w+Sp7VYG5IlxLp06tTZq7RpfzB52pQ1bIPJIqmNSoMsmggriCyW26iaxCCXhMQxjodVGL61i29bZaWdRGb63R/nR3dmn3vvsbmcc29+75d09DzP9zy/c77Hvvdzn/s7z3luqgpJUh9+aNoNSJImx9CXpI4Y+pLUEUNfkjpi6EtSR9ZPu4Hl3HDDDbVt27ZptyFJa8pLL730x1W18dL6qg/9bdu2MTc3N+02JGlNSfI/R9Wd3pGkjhj6ktQRQ1+SOjJW6Cf5SJKnk3w3yakkP5Xk+iTHkrzaltcN7b8/yZkkp5PcPVS/PcmJdt8jSfJ+vChJ0mjjHul/FvhKVf0E8DHgFLAPOF5V24HjbZskNwO7gVuAncCjSda1x3kM2Atsb7edK/Q6JEljWDb0k2wAfhr4HEBVfb+qvgfsAg633Q4D97b1XcBTVfV2Vb0GnAHuSLIZ2FBVz9fgKm9PDI2RJE3AOEf6Pw4sAL+Z5JtJHk/yYeDGqjoP0Jab2v5bgLND4+dbbUtbv7R+mSR7k8wlmVtYWLiiFyRJWtw4ob8e+ATwWFXdBvwFbSpnEaPm6WuJ+uXFqoNVNVtVsxs3XvbZAknSVRon9OeB+ap6oW0/zeCHwJttyoa2vDC0/9ah8TPAuVafGVGXJE3Isp/Irao/SnI2yUer6jRwF/BKu+0BDrTlM23IUeC3k3wG+DEGb9i+WFXvJHkryQ7gBeB+4D+u+CtaBbbte3Zqz/36gXum9tySVr9xL8Pwy8CTSX4Y+APgHzL4LeFIkgeAN4D7AKrqZJIjDH4oXAQeqqp32uM8CBwCrgWeazdJ0oSMFfpV9TIwO+KuuxbZ/2Hg4RH1OeDWK+hPkrSC/ESuJHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0JekjowV+kleT3IiyctJ5lrt+iTHkrzaltcN7b8/yZkkp5PcPVS/vT3OmSSPJMnKvyRJ0mKu5Ej/71bVx6tqtm3vA45X1XbgeNsmyc3AbuAWYCfwaJJ1bcxjwF5ge7vtfO8vQZI0rvcyvbMLONzWDwP3DtWfqqq3q+o14AxwR5LNwIaqer6qCnhiaIwkaQLGDf0CvprkpSR7W+3GqjoP0JabWn0LcHZo7HyrbWnrl9Yvk2RvkrkkcwsLC2O2KElazvox97uzqs4l2QQcS/LdJfYdNU9fS9QvL1YdBA4CzM7OjtxHknTlxjrSr6pzbXkB+BJwB/Bmm7KhLS+03eeBrUPDZ4BzrT4zoi5JmpBlQz/Jh5P86LvrwN8DvgMcBfa03fYAz7T1o8DuJNckuYnBG7Yvtimgt5LsaGft3D80RpI0AeNM79wIfKmdXbke+O2q+kqSrwNHkjwAvAHcB1BVJ5McAV4BLgIPVdU77bEeBA4B1wLPtZskaUIyOJFm9Zqdna25ublpt3FFtu17dtotTNzrB+6ZdguShiR5aegU+7/iJ3IlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1ZOzQT7IuyTeTfLltX5/kWJJX2/K6oX33JzmT5HSSu4fqtyc50e57JElW9uVIkpZyJUf6nwZODW3vA45X1XbgeNsmyc3AbuAWYCfwaJJ1bcxjwF5ge7vtfE/dS5KuyFihn2QGuAd4fKi8Czjc1g8D9w7Vn6qqt6vqNeAMcEeSzcCGqnq+qgp4YmiMJGkCxj3S/w3g14C/HKrdWFXnAdpyU6tvAc4O7Tffalva+qX1yyTZm2QuydzCwsKYLUqSlrNs6Cf5JHChql4a8zFHzdPXEvXLi1UHq2q2qmY3btw45tNKkpazfox97gQ+leQXgA8CG5L8FvBmks1Vdb5N3Vxo+88DW4fGzwDnWn1mRF2SNCHLHulX1f6qmqmqbQzeoP3dqvpF4Ciwp+22B3imrR8Fdie5JslNDN6wfbFNAb2VZEc7a+f+oTGSpAkY50h/MQeAI0keAN4A7gOoqpNJjgCvABeBh6rqnTbmQeAQcC3wXLtJkibkikK/qr4GfK2t/wlw1yL7PQw8PKI+B9x6pU1KklaGn8iVpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUkWVDP8kHk7yY5FtJTib5161+fZJjSV5ty+uGxuxPcibJ6SR3D9VvT3Ki3fdIkrw/L0uSNMo4R/pvAz9TVR8DPg7sTLID2Accr6rtwPG2TZKbgd3ALcBO4NEk69pjPQbsBba3286VeymSpOUsG/o18Odt8wPtVsAu4HCrHwbubeu7gKeq6u2qeg04A9yRZDOwoaqer6oCnhgaI0magLHm9JOsS/IycAE4VlUvADdW1XmAttzUdt8CnB0aPt9qW9r6pfVRz7c3yVySuYWFhSt4OZKkpYwV+lX1TlV9HJhhcNR+6xK7j5qnryXqo57vYFXNVtXsxo0bx2lRkjSGKzp7p6q+B3yNwVz8m23Khra80HabB7YODZsBzrX6zIi6JGlCxjl7Z2OSj7T1a4GfBb4LHAX2tN32AM+09aPA7iTXJLmJwRu2L7YpoLeS7Ghn7dw/NEaSNAHrx9hnM3C4nYHzQ8CRqvpykueBI0keAN4A7gOoqpNJjgCvABeBh6rqnfZYDwKHgGuB59pNkjQhy4Z+VX0buG1E/U+AuxYZ8zDw8Ij6HLDU+wGSpPeRn8iVpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0Z53r60rK27Xt2as/9+oF7pvbc0lrjkb4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktSRZUM/ydYkv5fkVJKTST7d6tcnOZbk1ba8bmjM/iRnkpxOcvdQ/fYkJ9p9jyTJ+/OyJEmjjHOkfxH41ar6SWAH8FCSm4F9wPGq2g4cb9u0+3YDtwA7gUeTrGuP9RiwF9jebjtX8LVIkpaxbOhX1fmq+kZbfws4BWwBdgGH226HgXvb+i7gqap6u6peA84AdyTZDGyoquerqoAnhsZIkibgiub0k2wDbgNeAG6sqvMw+MEAbGq7bQHODg2bb7Utbf3S+qjn2ZtkLsncwsLClbQoSVrC2KGf5EeA3wF+par+bKldR9RqifrlxaqDVTVbVbMbN24ct0VJ0jLGCv0kH2AQ+E9W1Rdb+c02ZUNbXmj1eWDr0PAZ4Fyrz4yoS5ImZJyzdwJ8DjhVVZ8ZuusosKet7wGeGarvTnJNkpsYvGH7YpsCeivJjvaY9w+NkSRNwDh/LvFO4JeAE0lebrV/ARwAjiR5AHgDuA+gqk4mOQK8wuDMn4eq6p027kHgEHAt8Fy7SZImZNnQr6r/xuj5eIC7FhnzMPDwiPoccOuVNChJWjl+IleSOmLoS1JHxpnTX7O27Xt22i1I0qrikb4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHVk29JN8PsmFJN8Zql2f5FiSV9vyuqH79ic5k+R0kruH6rcnOdHueyRJVv7lSJKWMs6R/iFg5yW1fcDxqtoOHG/bJLkZ2A3c0sY8mmRdG/MYsBfY3m6XPqYk6X22bOhX1e8Df3pJeRdwuK0fBu4dqj9VVW9X1WvAGeCOJJuBDVX1fFUV8MTQGEnShFztnP6NVXUeoC03tfoW4OzQfvOttqWtX1ofKcneJHNJ5hYWFq6yRUnSpVb6jdxR8/S1RH2kqjpYVbNVNbtx48YVa06Sene1of9mm7KhLS+0+jywdWi/GeBcq8+MqEuSJuhqQ/8osKet7wGeGarvTnJNkpsYvGH7YpsCeivJjnbWzv1DYyRJE7J+uR2SfAH4O8ANSeaBfwUcAI4keQB4A7gPoKpOJjkCvAJcBB6qqnfaQz3I4Eyga4Hn2k2SNEEZnEyzes3Oztbc3NxVjd2279kV7kb6f14/cM+0W5AWleSlqpq9tO4nciWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjy/65REmjTfMvs/lXu3S1PNKXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHfGUTWkNmtbpop4quvZ5pC9JHZn4kX6SncBngXXA41V1YNI9SLo6/oax9k009JOsA/4z8HPAPPD1JEer6pVJ9iFJ4/pB+0E36SP9O4AzVfUHAEmeAnYBhr6kRU3zkhc/aCYd+luAs0Pb88DfunSnJHuBvW3zz5OcHrr7BuCP37cOV459riz7XFn2ubJWvM/82/f8EH99VHHSoZ8RtbqsUHUQODjyAZK5qppd6cZWmn2uLPtcWfa5stZKnzD5s3fmga1D2zPAuQn3IEndmnTofx3YnuSmJD8M7AaOTrgHSerWRKd3qupikn8M/FcGp2x+vqpOXuHDjJz2WYXsc2XZ58qyz5W1VvokVZdNqUuSfkD5iVxJ6oihL0kdWVOhn2RnktNJziTZN+1+RkmyNcnvJTmV5GSST0+7p6UkWZfkm0m+PO1eFpPkI0meTvLd9u/6U9PuaZQk/7T9n38nyReSfHDaPQEk+XySC0m+M1S7PsmxJK+25XXT7LH1NKrPf9f+37+d5EtJPjLFFt/t6bI+h+77Z0kqyQ3T6G0cayb0hy7h8PPAzcDfT3LzdLsa6SLwq1X1k8AO4KFV2ue7Pg2cmnYTy/gs8JWq+gngY6zCfpNsAf4JMFtVtzI4UWH3dLv6K4eAnZfU9gHHq2o7cLxtT9shLu/zGHBrVf1N4H8A+yfd1AiHuLxPkmxlcImZNybd0JVYM6HP0CUcqur7wLuXcFhVqup8VX2jrb/FIKC2TLer0ZLMAPcAj0+7l8Uk2QD8NPA5gKr6flV9b6pNLW49cG2S9cCHWCWfQamq3wf+9JLyLuBwWz8M3DvJnkYZ1WdVfbWqLrbN/87gsz1Ttci/J8B/AH6NER84XU3WUuiPuoTDqgzTdyXZBtwGvDDlVhbzGwy+SP9yyn0s5ceBBeA32zTU40k+PO2mLlVVfwj8ewZHeeeB/1VVX51uV0u6sarOw+BABdg05X7G8Y+A56bdxChJPgX8YVV9a9q9LGcthf5Yl3BYLZL8CPA7wK9U1Z9Nu59LJfkkcKGqXpp2L8tYD3wCeKyqbgP+gtUxFfH/aXPiu4CbgB8DPpzkF6fb1Q+OJL/OYOr0yWn3cqkkHwJ+HfiX0+5lHGsp9NfMJRySfIBB4D9ZVV+cdj+LuBP4VJLXGUyV/UyS35puSyPNA/NV9e5vS08z+CGw2vws8FpVLVTV/wG+CPztKfe0lDeTbAZoywtT7mdRSfYAnwT+Qa3ODxb9DQY/7L/Vvp9mgG8k+WtT7WoRayn018QlHJKEwfzzqar6zLT7WUxV7a+qmaraxuDf8neratUdmVbVHwFnk3y0le5idV6K+w1gR5IPta+Bu1iFbzgPOQrsaet7gGem2Mui2h9d+ufAp6rqf0+7n1Gq6kRVbaqqbe37aR74RPvaXXXWTOi3N3PevYTDKeDIVVzCYRLuBH6JwZHzy+32C9Nuao37ZeDJJN8GPg78m+m2c7n2m8jTwDeAEwy+t1bFR/OTfAF4HvhokvkkDwAHgJ9L8iqDM06m/hfsFunzPwE/Chxr30v/ZapNsmifa4aXYZCkjqyZI31J0ntn6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SO/F9ethphddVyYAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(train_set.median_income)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 464., 1508., 1243.,  554.,  201.,   78.,   35.,   23.,   10.,\n",
       "          12.]),\n",
       " array([ 0.4999 ,  1.94992,  3.39994,  4.84996,  6.29998,  7.75   ,\n",
       "         9.20002, 10.65004, 12.10006, 13.55008, 15.0001 ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(test_set.median_income)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing[\"income_cat\"] = np.ceil(housing[\"median_income\"] / 1.5)\n",
    "housing[\"income_cat\"].where(housing[\"income_cat\"] < 5, 5.0, inplace=True)\n",
    "#int형 특성을 카테고리로 바꿈\n",
    "#DataFrame[\"col\"].where(targetcol조건, Ture일시 특성 변환 값, inplace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 822.,    0., 6581.,    0.,    0., 7236.,    0., 3639.,    0.,\n",
       "        2362.]),\n",
       " array([1. , 1.4, 1.8, 2.2, 2.6, 3. , 3.4, 3.8, 4.2, 4.6, 5. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(housing[\"income_cat\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "\n",
    "split = StratifiedShuffleSplit(n_splits = 1, test_size = 0.2, random_state = 42)\n",
    "for train_index, test_index in split.split(housing, housing[\"income_cat\"]):\n",
    "    strat_train_set = housing.loc[train_index]\n",
    "    strat_test_set = housing.loc[test_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 658.,    0., 5265.,    0.,    0., 5789.,    0., 2911.,    0.,\n",
       "        1889.]),\n",
       " array([1. , 1.4, 1.8, 2.2, 2.6, 3. , 3.4, 3.8, 4.2, 4.6, 5. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(strat_train_set.income_cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 164.,    0., 1316.,    0.,    0., 1447.,    0.,  728.,    0.,\n",
       "         473.]),\n",
       " array([1. , 1.4, 1.8, 2.2, 2.6, 3. , 3.4, 3.8, 4.2, 4.6, 5. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(strat_test_set.income_cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.0    0.350581\n",
       "2.0    0.318847\n",
       "4.0    0.176308\n",
       "5.0    0.114438\n",
       "1.0    0.039826\n",
       "Name: income_cat, dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[\"income_cat\"].value_counts() / len(housing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "for set_ in (strat_train_set, strat_test_set):\n",
    "    set_.drop(\"income_cat\", axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = strat_train_set.copy()\n",
    "#원본 데이터 복사본 저장"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='longitude', ylabel='latitude'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\")\n",
    "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.1)\n",
    "#투명도 추가로 밀집지역 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18ee922baf0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.4,\n",
    "            s=housing[\"population\"]/100, label = \"population\", figsize=(10,7),\n",
    "            c = \"median_house_value\", cmap=plt.get_cmap(\"jet\"), colorbar=True, sharex=False)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_matrix = housing.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "median_house_value    1.000000\n",
       "median_income         0.687160\n",
       "total_rooms           0.135097\n",
       "housing_median_age    0.114110\n",
       "households            0.064506\n",
       "total_bedrooms        0.047689\n",
       "population           -0.026920\n",
       "longitude            -0.047432\n",
       "latitude             -0.142724\n",
       "Name: median_house_value, dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix[\"median_house_value\"].sort_values(ascending=False)\n",
    "#특성끼리의 상관관계 계산"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:xlabel='median_house_value', ylabel='median_house_value'>,\n",
       "        <AxesSubplot:xlabel='median_income', ylabel='median_house_value'>,\n",
       "        <AxesSubplot:xlabel='total_rooms', ylabel='median_house_value'>,\n",
       "        <AxesSubplot:xlabel='housing_median_age', ylabel='median_house_value'>],\n",
       "       [<AxesSubplot:xlabel='median_house_value', ylabel='median_income'>,\n",
       "        <AxesSubplot:xlabel='median_income', ylabel='median_income'>,\n",
       "        <AxesSubplot:xlabel='total_rooms', ylabel='median_income'>,\n",
       "        <AxesSubplot:xlabel='housing_median_age', ylabel='median_income'>],\n",
       "       [<AxesSubplot:xlabel='median_house_value', ylabel='total_rooms'>,\n",
       "        <AxesSubplot:xlabel='median_income', ylabel='total_rooms'>,\n",
       "        <AxesSubplot:xlabel='total_rooms', ylabel='total_rooms'>,\n",
       "        <AxesSubplot:xlabel='housing_median_age', ylabel='total_rooms'>],\n",
       "       [<AxesSubplot:xlabel='median_house_value', ylabel='housing_median_age'>,\n",
       "        <AxesSubplot:xlabel='median_income', ylabel='housing_median_age'>,\n",
       "        <AxesSubplot:xlabel='total_rooms', ylabel='housing_median_age'>,\n",
       "        <AxesSubplot:xlabel='housing_median_age', ylabel='housing_median_age'>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "\n",
    "attributes = [\"median_house_value\", \"median_income\", \"total_rooms\",\"housing_median_age\"]\n",
    "scatter_matrix(housing[attributes], figsize=(12,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='median_income', ylabel='median_house_value'>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"median_income\", y=\"median_house_value\", alpha=0.1)\n",
    "#한 데이터 프레임에서 특성들의 상관관계 그래프"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing[\"rooms_per_household\"] = housing[\"total_rooms\"]/housing[\"households\"]\n",
    "housing[\"bedrooms_per_room\"] = housing[\"total_bedrooms\"]/housing[\"total_rooms\"]\n",
    "housing[\"population_per_household\"] = housing[\"population\"]/housing[\"households\"]\n",
    "#특성조합!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "median_house_value          1.000000\n",
       "median_income               0.687160\n",
       "rooms_per_household         0.146285\n",
       "total_rooms                 0.135097\n",
       "housing_median_age          0.114110\n",
       "households                  0.064506\n",
       "total_bedrooms              0.047689\n",
       "population_per_household   -0.021985\n",
       "population                 -0.026920\n",
       "longitude                  -0.047432\n",
       "latitude                   -0.142724\n",
       "bedrooms_per_room          -0.259984\n",
       "Name: median_house_value, dtype: float64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = housing.corr()\n",
    "corr_matrix[\"median_house_value\"].sort_values(ascending=False)\n",
    "#조합된 특성의 레이블과의 상관관계가 이전보다 높음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = strat_train_set.drop(\"median_house_value\", axis=1)\n",
    "#레이블을 분리시킴\n",
    "housing_labels = strat_train_set[\"median_house_value\"].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "median = housing[\"total_bedrooms\"].median()\n",
    "housing[\"total_bedrooms\"].fillna(median, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "imputer = SimpleImputer(strategy=\"median\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_num = housing.drop(\"ocean_proximity\", axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SimpleImputer(strategy='median')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.fit(housing_num)\n",
    "#수치형 특성의 중간값"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-118.51  ,   34.26  ,   29.    , 2119.5   ,  433.    , 1164.    ,\n",
       "        408.    ,    3.5409])"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.statistics_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-118.51  ,   34.26  ,   29.    , 2119.5   ,  433.    , 1164.    ,\n",
       "        408.    ,    3.5409])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_num.median().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "longitude             -118.5100\n",
       "latitude                34.2600\n",
       "housing_median_age      29.0000\n",
       "total_rooms           2119.5000\n",
       "total_bedrooms         433.0000\n",
       "population            1164.0000\n",
       "households             408.0000\n",
       "median_income            3.5409\n",
       "dtype: float64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.median()\n",
    "#위와동일"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "X =  imputer.transform(housing_num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_tr = pd.DataFrame(X, columns = housing_num.columns, index = list(housing.index.values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-121.89  ,   37.29  ,   38.    , ...,  710.    ,  339.    ,\n",
       "           2.7042],\n",
       "       [-121.93  ,   37.05  ,   14.    , ...,  306.    ,  113.    ,\n",
       "           6.4214],\n",
       "       [-117.2   ,   32.77  ,   31.    , ...,  936.    ,  462.    ,\n",
       "           2.8621],\n",
       "       ...,\n",
       "       [-116.4   ,   34.09  ,    9.    , ..., 2098.    ,  765.    ,\n",
       "           3.2723],\n",
       "       [-118.01  ,   33.82  ,   31.    , ..., 1356.    ,  356.    ,\n",
       "           4.0625],\n",
       "       [-122.45  ,   37.77  ,   52.    , ..., 1269.    ,  639.    ,\n",
       "           3.575 ]])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#사이킷런의 설계철학"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17606     <1H OCEAN\n",
       "18632     <1H OCEAN\n",
       "14650    NEAR OCEAN\n",
       "3230         INLAND\n",
       "3555      <1H OCEAN\n",
       "19480        INLAND\n",
       "8879      <1H OCEAN\n",
       "13685        INLAND\n",
       "4937      <1H OCEAN\n",
       "4861      <1H OCEAN\n",
       "Name: ocean_proximity, dtype: object"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat = housing[\"ocean_proximity\"]\n",
    "housing_cat.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 1, 2, 0, 2, 0, 2, 0, 0], dtype=int64)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat_encoded, housing_categories = housing_cat.factorize()\n",
    "housing_cat_encoded[:10]\n",
    "#문자열 값 숫자형 변환"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['<1H OCEAN', 'NEAR OCEAN', 'INLAND', 'NEAR BAY', 'ISLAND'], dtype='object')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<16512x5 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 16512 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import OneHotEncoder\n",
    "encoder = OneHotEncoder()\n",
    "housing_cat_1hot = encoder.fit_transform(housing_cat_encoded.reshape(-1, 1))\n",
    "housing_cat_1hot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0., 0., 0.],\n",
       "       [1., 0., 0., 0., 0.],\n",
       "       [0., 1., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 1., 0., 0.],\n",
       "       [1., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 1., 0.]])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat_1hot.toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>ocean_proximity_&lt;1H OCEAN</th>\n",
       "      <th>ocean_proximity_INLAND</th>\n",
       "      <th>ocean_proximity_ISLAND</th>\n",
       "      <th>ocean_proximity_NEAR BAY</th>\n",
       "      <th>ocean_proximity_NEAR OCEAN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17606</th>\n",
       "      <td>-121.89</td>\n",
       "      <td>37.29</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1568.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>710.0</td>\n",
       "      <td>339.0</td>\n",
       "      <td>2.7042</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18632</th>\n",
       "      <td>-121.93</td>\n",
       "      <td>37.05</td>\n",
       "      <td>14.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>6.4214</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14650</th>\n",
       "      <td>-117.20</td>\n",
       "      <td>32.77</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1952.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>936.0</td>\n",
       "      <td>462.0</td>\n",
       "      <td>2.8621</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3230</th>\n",
       "      <td>-119.61</td>\n",
       "      <td>36.31</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1847.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>353.0</td>\n",
       "      <td>1.8839</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3555</th>\n",
       "      <td>-118.59</td>\n",
       "      <td>34.23</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6592.0</td>\n",
       "      <td>1525.0</td>\n",
       "      <td>4459.0</td>\n",
       "      <td>1463.0</td>\n",
       "      <td>3.0347</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6563</th>\n",
       "      <td>-118.13</td>\n",
       "      <td>34.20</td>\n",
       "      <td>46.0</td>\n",
       "      <td>1271.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>573.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>4.9312</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12053</th>\n",
       "      <td>-117.56</td>\n",
       "      <td>33.88</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1196.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>1052.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>2.0682</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13908</th>\n",
       "      <td>-116.40</td>\n",
       "      <td>34.09</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4855.0</td>\n",
       "      <td>872.0</td>\n",
       "      <td>2098.0</td>\n",
       "      <td>765.0</td>\n",
       "      <td>3.2723</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11159</th>\n",
       "      <td>-118.01</td>\n",
       "      <td>33.82</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>1356.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>4.0625</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15775</th>\n",
       "      <td>-122.45</td>\n",
       "      <td>37.77</td>\n",
       "      <td>52.0</td>\n",
       "      <td>3095.0</td>\n",
       "      <td>682.0</td>\n",
       "      <td>1269.0</td>\n",
       "      <td>639.0</td>\n",
       "      <td>3.5750</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16512 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "17606    -121.89     37.29                38.0       1568.0           351.0   \n",
       "18632    -121.93     37.05                14.0        679.0           108.0   \n",
       "14650    -117.20     32.77                31.0       1952.0           471.0   \n",
       "3230     -119.61     36.31                25.0       1847.0           371.0   \n",
       "3555     -118.59     34.23                17.0       6592.0          1525.0   \n",
       "...          ...       ...                 ...          ...             ...   \n",
       "6563     -118.13     34.20                46.0       1271.0           236.0   \n",
       "12053    -117.56     33.88                40.0       1196.0           294.0   \n",
       "13908    -116.40     34.09                 9.0       4855.0           872.0   \n",
       "11159    -118.01     33.82                31.0       1960.0           380.0   \n",
       "15775    -122.45     37.77                52.0       3095.0           682.0   \n",
       "\n",
       "       population  households  median_income  ocean_proximity_<1H OCEAN  \\\n",
       "17606       710.0       339.0         2.7042                          1   \n",
       "18632       306.0       113.0         6.4214                          1   \n",
       "14650       936.0       462.0         2.8621                          0   \n",
       "3230       1460.0       353.0         1.8839                          0   \n",
       "3555       4459.0      1463.0         3.0347                          1   \n",
       "...           ...         ...            ...                        ...   \n",
       "6563        573.0       210.0         4.9312                          0   \n",
       "12053      1052.0       258.0         2.0682                          0   \n",
       "13908      2098.0       765.0         3.2723                          0   \n",
       "11159      1356.0       356.0         4.0625                          1   \n",
       "15775      1269.0       639.0         3.5750                          0   \n",
       "\n",
       "       ocean_proximity_INLAND  ocean_proximity_ISLAND  \\\n",
       "17606                       0                       0   \n",
       "18632                       0                       0   \n",
       "14650                       0                       0   \n",
       "3230                        1                       0   \n",
       "3555                        0                       0   \n",
       "...                       ...                     ...   \n",
       "6563                        1                       0   \n",
       "12053                       1                       0   \n",
       "13908                       1                       0   \n",
       "11159                       0                       0   \n",
       "15775                       0                       0   \n",
       "\n",
       "       ocean_proximity_NEAR BAY  ocean_proximity_NEAR OCEAN  \n",
       "17606                         0                           0  \n",
       "18632                         0                           0  \n",
       "14650                         0                           1  \n",
       "3230                          0                           0  \n",
       "3555                          0                           0  \n",
       "...                         ...                         ...  \n",
       "6563                          0                           0  \n",
       "12053                         0                           0  \n",
       "13908                         0                           0  \n",
       "11159                         0                           0  \n",
       "15775                         1                           0  \n",
       "\n",
       "[16512 rows x 13 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.get_dummies(housing)\n",
    "#DF에서 텍스트 특성을 찾아 원-핫 인코딩 적용, 반환"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<16512x5 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 16512 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import OneHotEncoder\n",
    "cat_encoder = OneHotEncoder()\n",
    "housing_cat_reshaped = housing_cat.values.reshape(-1,1)\n",
    "housing_cat_1hot = cat_encoder.fit_transform(housing_cat_reshaped)\n",
    "housing_cat_1hot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(['<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY', 'NEAR OCEAN'],\n",
       "       dtype=object)]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_encoder.categories_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "rooms_ix, bedrooms_ix, population_ix, household_ix = 3,4,5,6\n",
    "\n",
    "class CombinedAttributesAdder(BaseEstimator, TransformerMixin):\n",
    "    def __init__(self, add_bedrooms_per_room = True):\n",
    "        self.add_bedrooms_per_room = add_bedrooms_per_room\n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "    def transform(self, X, y=None):\n",
    "        rooms_per_household = X[:, rooms_ix] / X[:, household_ix]\n",
    "        population_per_household = X[:, population_ix] / X[:, household_ix]\n",
    "        if self.add_bedrooms_per_room:\n",
    "            bedrooms_per_room = X[:, bedrooms_ix] / X[:, rooms_ix]\n",
    "            return np.c_[X, rooms_per_household, population_per_household,\n",
    "                         bedrooms_per_room]\n",
    "        else:\n",
    "            return np.c_[X, rooms_per_household, population_per_household]\n",
    "\n",
    "attr_adder = CombinedAttributesAdder(add_bedrooms_per_room=False)\n",
    "housing_extra_attribs = attr_adder.transform(housing.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>16512.000000</td>\n",
       "      <td>16512.000000</td>\n",
       "      <td>16512.000000</td>\n",
       "      <td>16512.000000</td>\n",
       "      <td>16512.000000</td>\n",
       "      <td>16512.000000</td>\n",
       "      <td>16512.000000</td>\n",
       "      <td>16512.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-119.575834</td>\n",
       "      <td>35.639577</td>\n",
       "      <td>28.653101</td>\n",
       "      <td>2622.728319</td>\n",
       "      <td>533.998123</td>\n",
       "      <td>1419.790819</td>\n",
       "      <td>497.060380</td>\n",
       "      <td>3.875589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.001860</td>\n",
       "      <td>2.138058</td>\n",
       "      <td>12.574726</td>\n",
       "      <td>2138.458419</td>\n",
       "      <td>410.839621</td>\n",
       "      <td>1115.686241</td>\n",
       "      <td>375.720845</td>\n",
       "      <td>1.904950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-124.350000</td>\n",
       "      <td>32.540000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.499900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-121.800000</td>\n",
       "      <td>33.940000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>1443.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>784.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>2.566775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-118.510000</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>2119.500000</td>\n",
       "      <td>433.000000</td>\n",
       "      <td>1164.000000</td>\n",
       "      <td>408.000000</td>\n",
       "      <td>3.540900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>-118.010000</td>\n",
       "      <td>37.720000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>3141.000000</td>\n",
       "      <td>641.000000</td>\n",
       "      <td>1719.250000</td>\n",
       "      <td>602.000000</td>\n",
       "      <td>4.744475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>-114.310000</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>39320.000000</td>\n",
       "      <td>6210.000000</td>\n",
       "      <td>35682.000000</td>\n",
       "      <td>5358.000000</td>\n",
       "      <td>15.000100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          longitude      latitude  housing_median_age   total_rooms  \\\n",
       "count  16512.000000  16512.000000        16512.000000  16512.000000   \n",
       "mean    -119.575834     35.639577           28.653101   2622.728319   \n",
       "std        2.001860      2.138058           12.574726   2138.458419   \n",
       "min     -124.350000     32.540000            1.000000      6.000000   \n",
       "25%     -121.800000     33.940000           18.000000   1443.000000   \n",
       "50%     -118.510000     34.260000           29.000000   2119.500000   \n",
       "75%     -118.010000     37.720000           37.000000   3141.000000   \n",
       "max     -114.310000     41.950000           52.000000  39320.000000   \n",
       "\n",
       "       total_bedrooms    population    households  median_income  \n",
       "count    16512.000000  16512.000000  16512.000000   16512.000000  \n",
       "mean       533.998123   1419.790819    497.060380       3.875589  \n",
       "std        410.839621   1115.686241    375.720845       1.904950  \n",
       "min          2.000000      3.000000      2.000000       0.499900  \n",
       "25%        296.000000    784.000000    279.000000       2.566775  \n",
       "50%        433.000000   1164.000000    408.000000       3.540900  \n",
       "75%        641.000000   1719.250000    602.000000       4.744475  \n",
       "max       6210.000000  35682.000000   5358.000000      15.000100  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1.15604281,  0.77194962,  0.74333089, ..., -0.31205452,\n",
       "        -0.08649871,  0.15531753],\n",
       "       [-1.17602483,  0.6596948 , -1.1653172 , ...,  0.21768338,\n",
       "        -0.03353391, -0.83628902],\n",
       "       [ 1.18684903, -1.34218285,  0.18664186, ..., -0.46531516,\n",
       "        -0.09240499,  0.4222004 ],\n",
       "       ...,\n",
       "       [ 1.58648943, -0.72478134, -1.56295222, ...,  0.3469342 ,\n",
       "        -0.03055414, -0.52177644],\n",
       "       [ 0.78221312, -0.85106801,  0.18664186, ...,  0.02499488,\n",
       "         0.06150916, -0.30340741],\n",
       "       [-1.43579109,  0.99645926,  1.85670895, ..., -0.22852947,\n",
       "        -0.09586294,  0.10180567]])"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "num_pipeline = Pipeline([\n",
    "    ('imputer', SimpleImputer(strategy=\"median\")),\n",
    "    (\"attribs_adder\", CombinedAttributesAdder()),\n",
    "    (\"std_scaler\", StandardScaler())\n",
    "])\n",
    "\n",
    "housing_num_tr = num_pipeline.fit_transform(housing_num)\n",
    "housing_num_tr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "#클래스 공부좀 하고 파이프라인 다시 보는걸로"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "# 사이킷런이 DataFrame을 바로 사용하지 못하므로\n",
    "# 수치형이나 범주형 컬럼을 선택하는 클래스를 만듭니다.\n",
    "class DataFrameSelector(BaseEstimator, TransformerMixin):\n",
    "    def __init__(self, attribute_names):\n",
    "        self.attribute_names = attribute_names\n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "    def transform(self, X):\n",
    "        return X[self.attribute_names].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_attribs = list(housing_num)\n",
    "cat_attribs = [\"ocean_proximity\"]\n",
    "\n",
    "num_pipeline = Pipeline([\n",
    "        ('selector', DataFrameSelector(num_attribs)),\n",
    "        ('imputer', SimpleImputer(strategy=\"median\")),\n",
    "        ('attribs_adder', CombinedAttributesAdder()),\n",
    "        ('std_scaler', StandardScaler()),\n",
    "    ])\n",
    "\n",
    "cat_pipeline = Pipeline([\n",
    "        ('selector', DataFrameSelector(cat_attribs)),\n",
    "        ('cat_encoder', OneHotEncoder()),\n",
    "    ])\n",
    "#onehot으로 categoricalencoder대체"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import FeatureUnion\n",
    "\n",
    "full_pipeline = FeatureUnion(transformer_list = [\n",
    "    (\"num_pipeline\", num_pipeline),\n",
    "    (\"cat_pipeline\", cat_pipeline)\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<16512x16 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 198144 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_prepared = full_pipeline.fit_transform(housing)\n",
    "housing_prepared"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "lin_reg = LinearRegression()\n",
    "lin_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "예측:  [210644.60466647 317768.80661564 210956.43338407  59218.98904426\n",
      " 189747.55852435]\n",
      "레이블:  [286600.0, 340600.0, 196900.0, 46300.0, 254500.0]\n"
     ]
    }
   ],
   "source": [
    "some_data = housing.iloc[:5]\n",
    "some_labels = housing_labels.iloc[:5]\n",
    "some_data_prepared = full_pipeline.transform(some_data)\n",
    "print(\"예측: \", lin_reg.predict(some_data_prepared))\n",
    "print(\"레이블: \", list(some_labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "68628.19819848922"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "housing_predictions = lin_reg.predict(housing_prepared)\n",
    "lin_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "lin_rmse = np.sqrt(lin_mse)\n",
    "lin_rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 696., 2891., 3291., 3042., 2233., 1395.,  950.,  614.,  385.,\n",
       "        1015.]),\n",
       " array([ 14999. ,  63499.2, 111999.4, 160499.6, 208999.8, 257500. ,\n",
       "        306000.2, 354500.4, 403000.6, 451500.8, 500001. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(housing_labels)\n",
    "#housing_labels가 약 100000에서 400000사이이므로 rmse가 68000을 넘는건 과소적합 되었다는거임"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeRegressor()"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor\n",
    "\n",
    "tree_reg = DecisionTreeRegressor()\n",
    "tree_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_predictions = tree_reg.predict(housing_prepared)\n",
    "tree_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "tree_rmse = np.sqrt(tree_mse)\n",
    "tree_rmse\n",
    "#모델을 바꿔서 훈련시키니 과대적합 되었음\n",
    "#이때 모델이 확신이 될때까지 테스트세트는 건드리면 안되므로 확신이 될때만 테스트세트를 사용할 것"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "scores = cross_val_score(tree_reg, housing_prepared, housing_labels, scoring=\"neg_mean_squared_error\", cv=10)\n",
    "tree_rmse_scores = np.sqrt(-scores)\n",
    "#scoring에 높을수록 좋은 효용함수를 기대하므로 오차의 반댓값을 최대한 0에 가깝게 하는느낌"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores:  [68386.95198717 65104.76669967 70434.07935352 69901.97154214\n",
      " 71027.97701183 75361.18054445 71014.66410047 71174.56154037\n",
      " 78279.79351951 70209.43716074]\n",
      "Mean:  71089.53834598741\n",
      "Standard deviation 3401.460063152896\n"
     ]
    }
   ],
   "source": [
    "def display_scores(scores):\n",
    "    print(\"Scores: \",scores)\n",
    "    print(\"Mean: \",scores.mean())\n",
    "    print(\"Standard deviation\", scores.std())\n",
    "#마지막줄은 표준편차임\n",
    "    \n",
    "display_scores(tree_rmse_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores:  [66782.73840648 66960.11770454 70347.95253774 74739.57050136\n",
      " 68031.1338941  71193.84183701 64969.63057974 68281.61137785\n",
      " 71552.9156973  67665.10083676]\n",
      "Mean:  69052.46133728891\n",
      "Standard deviation 2731.6740318925777\n"
     ]
    }
   ],
   "source": [
    "lin_scores = cross_val_score(lin_reg, housing_prepared, housing_labels, scoring=\"neg_mean_squared_error\", cv=10)\n",
    "lin_rmse_scores = np.sqrt(-lin_scores)\n",
    "display_scores(lin_rmse_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor()"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "forest_reg = RandomForestRegressor()\n",
    "forest_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "forest_scores=cross_val_score(forest_reg, housing_prepared, housing_labels, scoring=\"neg_mean_squared_error\", cv=2)\n",
    "#cv=n 에서 n값으로 교차검증세트수를 조절가능한데 시간이 기하급수적으로 상승"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores:  [51900.55990944 52098.42804416]\n",
      "Mean:  51999.49397680056\n",
      "Standard deviation 98.93406735988174\n"
     ]
    }
   ],
   "source": [
    "forest_rmse_scores = np.sqrt(-forest_scores)\n",
    "display_scores(forest_rmse_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18689.75885632699"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_predictions = forest_reg.predict(housing_prepared)\n",
    "forest_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "forest_rmse = np.sqrt(forest_mse)\n",
    "forest_rmse\n",
    "\n",
    "#위, 아래의 출력값은 각각 교차검증, 그냥RMSE\n",
    "#훈련세트에 대한 점수가 검증세트보다 훨씬낮으므로 과대적합"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, estimator=RandomForestRegressor(), n_jobs=-1,\n",
       "             param_grid=[{'max_features': [2, 4, 6, 8],\n",
       "                          'n_estimators': [3, 10, 30]},\n",
       "                         {'bootstrap': [False], 'max_features': [2, 3, 4],\n",
       "                          'n_estimators': [3, 10]}],\n",
       "             return_train_score=True, scoring='neg_mean_squared_error')"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "param_grid = [\n",
    "    # 하이퍼파라미터 12(=3×4)개의 조합을 시도합니다.\n",
    "    {'n_estimators': [3, 10, 30], 'max_features': [2, 4, 6, 8]},\n",
    "    # bootstrap은 False로 하고 6(=2×3)개의 조합을 시도합니다.\n",
    "    {'bootstrap': [False], 'n_estimators': [3, 10], 'max_features': [2, 3, 4]},\n",
    "  ]\n",
    "forest_reg = RandomForestRegressor()\n",
    "\n",
    "grid_search = GridSearchCV(forest_reg, param_grid, cv=5, scoring='neg_mean_squared_error', return_train_score=True,n_jobs=-1)\n",
    "grid_search.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'max_features': 8, 'n_estimators': 30}"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_search.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(max_features=8, n_estimators=30)"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_search.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "64176.475303121544 {'max_features': 2, 'n_estimators': 3}\n",
      "55678.2733695076 {'max_features': 2, 'n_estimators': 10}\n",
      "52988.443582032414 {'max_features': 2, 'n_estimators': 30}\n",
      "60973.775856748405 {'max_features': 4, 'n_estimators': 3}\n",
      "52899.76188150159 {'max_features': 4, 'n_estimators': 10}\n",
      "50568.35477334244 {'max_features': 4, 'n_estimators': 30}\n",
      "59042.22976418081 {'max_features': 6, 'n_estimators': 3}\n",
      "51819.50346482263 {'max_features': 6, 'n_estimators': 10}\n",
      "50155.18306267169 {'max_features': 6, 'n_estimators': 30}\n",
      "59358.79414575222 {'max_features': 8, 'n_estimators': 3}\n",
      "52252.50324381555 {'max_features': 8, 'n_estimators': 10}\n",
      "49582.327121667964 {'max_features': 8, 'n_estimators': 30}\n",
      "61973.675711350195 {'bootstrap': False, 'max_features': 2, 'n_estimators': 3}\n",
      "54571.899985715434 {'bootstrap': False, 'max_features': 2, 'n_estimators': 10}\n",
      "61254.78577717633 {'bootstrap': False, 'max_features': 3, 'n_estimators': 3}\n",
      "52295.6279474295 {'bootstrap': False, 'max_features': 3, 'n_estimators': 10}\n",
      "58081.897359943025 {'bootstrap': False, 'max_features': 4, 'n_estimators': 3}\n",
      "52345.49508266076 {'bootstrap': False, 'max_features': 4, 'n_estimators': 10}\n"
     ]
    }
   ],
   "source": [
    "cvres = grid_search.cv_results_\n",
    "for mean_score, params in zip(cvres[\"mean_test_score\"], cvres[\"params\"]):\n",
    "    print(np.sqrt(-mean_score), params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([6.54413702e-02, 6.48979202e-02, 4.36877874e-02, 1.43153172e-02,\n",
       "       1.50946768e-02, 1.45800348e-02, 1.37677266e-02, 3.76739531e-01,\n",
       "       4.36251415e-02, 1.13326007e-01, 5.84841606e-02, 5.83896689e-03,\n",
       "       1.65184396e-01, 1.08165762e-04, 1.88157374e-03, 3.02722441e-03])"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_importances = grid_search.best_estimator_.feature_importances_\n",
    "feature_importances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0.37673953072317246, 'median_income'),\n",
       " (0.16518439602654636, 1),\n",
       " (0.1133260071365625, 'pop_per_hhold'),\n",
       " (0.0654413701817399, 'longitude'),\n",
       " (0.06489792015963482, 'latitude'),\n",
       " (0.058484160629448834, 'bedrooms_per_room'),\n",
       " (0.043687787389869975, 'housing_median_age'),\n",
       " (0.0436251415352841, 'rooms_per_hhold'),\n",
       " (0.015094676790517726, 'total_bedrooms'),\n",
       " (0.014580034784692714, 'population'),\n",
       " (0.014315317225772058, 'total_rooms'),\n",
       " (0.013767726610745929, 'households'),\n",
       " (0.005838966892155259, 0),\n",
       " (0.0030272244125646723, 4),\n",
       " (0.00188157373931895, 3),\n",
       " (0.00010816576197363418, 2)]"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_attribs = [\"rooms_per_hhold\",\"pop_per_hhold\",\"bedrooms_per_room\"]\n",
    "cat_one_hot_attribs = list(encoder.categories_[0])\n",
    "attributes = num_attribs + extra_attribs + cat_one_hot_attribs\n",
    "sorted(zip(feature_importances, attributes), reverse=True)\n",
    "#1,0,4,3,2는 각각 string형 feature들인데.... 어떻게 문자열로 가져올 수 있을까?\n",
    "#어쨋든 두번째로 중요도가 높은 특성은 Inrand임"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "47895.632312200745\n"
     ]
    }
   ],
   "source": [
    "final_model = grid_search.best_estimator_\n",
    "\n",
    "X_test = strat_test_set.drop(\"median_house_value\", axis=1)\n",
    "y_test = strat_test_set[\"median_house_value\"]\n",
    "\n",
    "X_test_prepared = full_pipeline.transform(X_test)\n",
    "\n",
    "final_predictions = final_model.predict(X_test_prepared)\n",
    "\n",
    "final_mse = mean_squared_error(y_test, final_predictions)\n",
    "final_rmse = np.sqrt(final_mse)\n",
    "\n",
    "print(final_rmse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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