Chapter 2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "610526e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import tarfile\n",
    "import urllib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eee36694",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Python ≥3.5 is required\n",
    "import sys\n",
    "assert sys.version_info >= (3, 5)\n",
    "\n",
    "# Scikit-Learn ≥0.20 is required\n",
    "import sklearn\n",
    "assert sklearn.__version__ >= \"0.20\"\n",
    "\n",
    "# Common imports\n",
    "import numpy as np\n",
    "import os\n",
    "\n",
    "# To plot pretty figures\n",
    "%matplotlib inline\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "mpl.rc('axes', labelsize=14)\n",
    "mpl.rc('xtick', labelsize=12)\n",
    "mpl.rc('ytick', labelsize=12)\n",
    "\n",
    "# Where to save the figures\n",
    "PROJECT_ROOT_DIR = \".\"\n",
    "CHAPTER_ID = \"end_to_end_project\"\n",
    "IMAGES_PATH = os.path.join(PROJECT_ROOT_DIR, \"images\", CHAPTER_ID)\n",
    "os.makedirs(IMAGES_PATH, exist_ok=True)\n",
    "\n",
    "def save_fig(fig_id, tight_layout=True, fig_extension=\"png\", resolution=300):\n",
    "    path = os.path.join(IMAGES_PATH, fig_id + \".\" + fig_extension)\n",
    "    print(\"Saving figure\", fig_id)\n",
    "    if tight_layout:\n",
    "        plt.tight_layout()\n",
    "    plt.savefig(path, format=fig_extension, dpi=resolution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "06144b50",
   "metadata": {},
   "outputs": [],
   "source": [
    "DOWNLOAD_ROOT = \"https://raw.githubusercontent.com/ageron/handson-ml2/master/\"\n",
    "HOUSING_PATH = os.path.join(\"datasets\", \"housing\")\n",
    "HOUSING_URL = DOWNLOAD_ROOT + \"datasets/housing/housing.tgz\"\n",
    "\n",
    "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": 4,
   "id": "b0d1140a",
   "metadata": {},
   "outputs": [],
   "source": [
    "fetch_housing_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5e116020",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load data using pandas\n",
    "import pandas as pd\n",
    "\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": 6,
   "id": "1cba9ddc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing = load_housing_data()\n",
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a19ba65a",
   "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() \n",
    "# info()\n",
    "# quick description of the data, for total number of rows and each attribute's type and number of nonnull values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0fd2b4f",
   "metadata": {},
   "source": [
    "From the above description, there are 20640 instances of dataset. Total_bedrooms have 20433 instances, missing 207 values. ocean_proximity has object type, not float."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c4b3e6ed",
   "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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[\"ocean_proximity\"].value_counts()\n",
    "# value_counts\n",
    "# for categorical value, count how many districts belong to each category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d4e87b5b",
   "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>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": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe()\n",
    "# describe()\n",
    "# count, mean, min, max, std = standard deviation, percentiles: 25%, 50% (median), 75%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a3d53569",
   "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()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aae9d8c9",
   "metadata": {},
   "source": [
    "## Generating Test Sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "554cb07a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def split_train_test(data, test_ratio):\n",
    "    shuffled_indices = np.random.permutation(len(data))\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",
    "\n",
    "# iloc\n",
    "# enables to select a particular cell of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e1d5c557",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16512, 4128)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_set, test_set = split_train_test(housing, 0.2)\n",
    "len(train_set), len(test_set)\n",
    "\n",
    "# but we need to generate more different test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0220c321",
   "metadata": {},
   "outputs": [],
   "source": [
    "from zlib import crc32\n",
    "\n",
    "def test_set_check(identifier, test_ratio):\n",
    "    return crc32(np.int64(identifier)) & 0xffffffff < test_ratio * 2**32\n",
    "\n",
    "def split_train_test_by_id(data, test_ratio, id_column):\n",
    "    ids = data[id_column]\n",
    "    in_test_set = ids.apply(lambda id_: test_set_check(id_, test_ratio))\n",
    "    return data.loc[~in_test_set], data.loc[in_test_set]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c75bb959",
   "metadata": {},
   "outputs": [],
   "source": [
    "# when there is no identifier column\n",
    "housing_with_id = housing.reset_index()\n",
    "train_set, test_set = split_train_test_by_id(housing_with_id, 0.2, \"index\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "79e86e1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to make sure to have a unique identifier:\n",
    "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": 16,
   "id": "831f129a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# using scikit-learn\n",
    "\n",
    "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": 17,
   "id": "014a7169",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "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": [
    "# When one of the variable is very significant for the outcome\n",
    "# in this case, let's say median income is important factor\n",
    "\n",
    "housing[\"income_cat\"] = pd.cut(housing[\"median_income\"],\n",
    "                              bins = [0., 1.5, 3.0, 4.5, 6., np.inf],\n",
    "                              labels = [1, 2, 3, 4, 5])\n",
    "housing[\"income_cat\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7d335da9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# stratified sampling based on the income category\n",
    "\n",
    "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": 19,
   "id": "77aa2073",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    0.350533\n",
       "2    0.318798\n",
       "4    0.176357\n",
       "5    0.114341\n",
       "1    0.039971\n",
       "Name: income_cat, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# income category proportions\n",
    "strat_test_set[\"income_cat\"].value_counts() / len(strat_test_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8d116d7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop income_cat to make data look like original state\n",
    "\n",
    "for set_ in (strat_train_set, strat_test_set):\n",
    "    set_.drop(\"income_cat\", axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3351b623",
   "metadata": {},
   "source": [
    "## Visualization of Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "61485881",
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = strat_train_set.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a5d4d4b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='longitude', ylabel='latitude'>"
      ]
     },
     "execution_count": 22,
     "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 = \"longitude\", y = \"latitude\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "bb3d85fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='longitude', ylabel='latitude'>"
      ]
     },
     "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": [
    "housing.plot(kind = \"scatter\", x = \"longitude\", y = \"latitude\", alpha = 0.1)\n",
    "\n",
    "# alpha - shows the density"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a97eab11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa513612190>"
      ]
     },
     "execution_count": 24,
     "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,\n",
    "            )\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bda954bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "median_house_value    1.000000\n",
       "median_income         0.687151\n",
       "total_rooms           0.135140\n",
       "housing_median_age    0.114146\n",
       "households            0.064590\n",
       "total_bedrooms        0.047781\n",
       "population           -0.026882\n",
       "longitude            -0.047466\n",
       "latitude             -0.142673\n",
       "Name: median_house_value, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# correlations\n",
    "\n",
    "corr_matrix = housing.corr()\n",
    "corr_matrix[\"median_house_value\"].sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f61ca3c8",
   "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": 26,
     "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": [
    "# using pandas for correlations\n",
    "\n",
    "from pandas.plotting import scatter_matrix\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": 27,
   "id": "ae85f1d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating data attributes\n",
    "\n",
    "housing[\"rooms_per_household\"] = housing[\"total_rooms\"]/housing[\"households\"]\n",
    "housing[\"bedrooms_per_household\"] = housing[\"total_bedrooms\"]/housing[\"total_rooms\"]\n",
    "housing[\"population_per_household\"] = housing[\"population\"]/housing[\"households\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9e76012e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "median_house_value          1.000000\n",
       "median_income               0.687151\n",
       "rooms_per_household         0.146255\n",
       "total_rooms                 0.135140\n",
       "housing_median_age          0.114146\n",
       "households                  0.064590\n",
       "total_bedrooms              0.047781\n",
       "population_per_household   -0.021991\n",
       "population                 -0.026882\n",
       "longitude                  -0.047466\n",
       "latitude                   -0.142673\n",
       "bedrooms_per_household     -0.259952\n",
       "Name: median_house_value, dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = housing.corr()\n",
    "corr_matrix[\"median_house_value\"].sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ac186c7",
   "metadata": {},
   "source": [
    "## Data for Machine Learning Algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "395c4d9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = strat_train_set.drop(\"median_house_value\", axis = 1)\n",
    "housing_labels = strat_train_set[\"median_house_value\"].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c896cbe8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1606</th>\n",
       "      <td>-122.08</td>\n",
       "      <td>37.88</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2947.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>825.0</td>\n",
       "      <td>626.0</td>\n",
       "      <td>2.9330</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10915</th>\n",
       "      <td>-117.87</td>\n",
       "      <td>33.73</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2264.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>499.0</td>\n",
       "      <td>3.4193</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19150</th>\n",
       "      <td>-122.70</td>\n",
       "      <td>38.35</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2313.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>954.0</td>\n",
       "      <td>397.0</td>\n",
       "      <td>3.7813</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4186</th>\n",
       "      <td>-118.23</td>\n",
       "      <td>34.13</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1308.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>835.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>4.2891</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16885</th>\n",
       "      <td>-122.40</td>\n",
       "      <td>37.58</td>\n",
       "      <td>26.0</td>\n",
       "      <td>3281.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>6.3580</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "1606     -122.08     37.88                26.0       2947.0             NaN   \n",
       "10915    -117.87     33.73                45.0       2264.0             NaN   \n",
       "19150    -122.70     38.35                14.0       2313.0             NaN   \n",
       "4186     -118.23     34.13                48.0       1308.0             NaN   \n",
       "16885    -122.40     37.58                26.0       3281.0             NaN   \n",
       "\n",
       "       population  households  median_income ocean_proximity  \n",
       "1606        825.0       626.0         2.9330        NEAR BAY  \n",
       "10915      1970.0       499.0         3.4193       <1H OCEAN  \n",
       "19150       954.0       397.0         3.7813       <1H OCEAN  \n",
       "4186        835.0       294.0         4.2891       <1H OCEAN  \n",
       "16885      1145.0       480.0         6.3580      NEAR OCEAN  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Data cleaning \n",
    "\n",
    "sample_incomplete_rows = housing[housing.isnull().any(axis=1)].head()\n",
    "sample_incomplete_rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6f4dac24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income, ocean_proximity]\n",
       "Index: []"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_incomplete_rows.dropna(subset=[\"total_bedrooms\"]) # option 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a67068ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</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>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1606</th>\n",
       "      <td>-122.08</td>\n",
       "      <td>37.88</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2947.0</td>\n",
       "      <td>825.0</td>\n",
       "      <td>626.0</td>\n",
       "      <td>2.9330</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10915</th>\n",
       "      <td>-117.87</td>\n",
       "      <td>33.73</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2264.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>499.0</td>\n",
       "      <td>3.4193</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19150</th>\n",
       "      <td>-122.70</td>\n",
       "      <td>38.35</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2313.0</td>\n",
       "      <td>954.0</td>\n",
       "      <td>397.0</td>\n",
       "      <td>3.7813</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4186</th>\n",
       "      <td>-118.23</td>\n",
       "      <td>34.13</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1308.0</td>\n",
       "      <td>835.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>4.2891</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16885</th>\n",
       "      <td>-122.40</td>\n",
       "      <td>37.58</td>\n",
       "      <td>26.0</td>\n",
       "      <td>3281.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>6.3580</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  population  \\\n",
       "1606     -122.08     37.88                26.0       2947.0       825.0   \n",
       "10915    -117.87     33.73                45.0       2264.0      1970.0   \n",
       "19150    -122.70     38.35                14.0       2313.0       954.0   \n",
       "4186     -118.23     34.13                48.0       1308.0       835.0   \n",
       "16885    -122.40     37.58                26.0       3281.0      1145.0   \n",
       "\n",
       "       households  median_income ocean_proximity  \n",
       "1606        626.0         2.9330        NEAR BAY  \n",
       "10915       499.0         3.4193       <1H OCEAN  \n",
       "19150       397.0         3.7813       <1H OCEAN  \n",
       "4186        294.0         4.2891       <1H OCEAN  \n",
       "16885       480.0         6.3580      NEAR OCEAN  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_incomplete_rows.drop(\"total_bedrooms\", axis=1) # option 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c6f64617",
   "metadata": {},
   "outputs": [],
   "source": [
    "median = housing[\"total_bedrooms\"].median()\n",
    "sample_incomplete_rows[\"total_bedrooms\"].fillna(median, inplace=True) # option 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f9c528b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "        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</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1606</th>\n",
       "      <td>-122.08</td>\n",
       "      <td>37.88</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2947.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>825.0</td>\n",
       "      <td>626.0</td>\n",
       "      <td>2.9330</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10915</th>\n",
       "      <td>-117.87</td>\n",
       "      <td>33.73</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2264.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>499.0</td>\n",
       "      <td>3.4193</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19150</th>\n",
       "      <td>-122.70</td>\n",
       "      <td>38.35</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2313.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>954.0</td>\n",
       "      <td>397.0</td>\n",
       "      <td>3.7813</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4186</th>\n",
       "      <td>-118.23</td>\n",
       "      <td>34.13</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1308.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>835.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>4.2891</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16885</th>\n",
       "      <td>-122.40</td>\n",
       "      <td>37.58</td>\n",
       "      <td>26.0</td>\n",
       "      <td>3281.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>6.3580</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "1606     -122.08     37.88                26.0       2947.0           433.0   \n",
       "10915    -117.87     33.73                45.0       2264.0           433.0   \n",
       "19150    -122.70     38.35                14.0       2313.0           433.0   \n",
       "4186     -118.23     34.13                48.0       1308.0           433.0   \n",
       "16885    -122.40     37.58                26.0       3281.0           433.0   \n",
       "\n",
       "       population  households  median_income ocean_proximity  \n",
       "1606        825.0       626.0         2.9330        NEAR BAY  \n",
       "10915      1970.0       499.0         3.4193       <1H OCEAN  \n",
       "19150       954.0       397.0         3.7813       <1H OCEAN  \n",
       "4186        835.0       294.0         4.2891       <1H OCEAN  \n",
       "16885      1145.0       480.0         6.3580      NEAR OCEAN  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_incomplete_rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "bd72297f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Scikit-learn: handling missing values\n",
    "\n",
    "from sklearn.impute import SimpleImputer\n",
    "\n",
    "imputer = SimpleImputer(strategy = \"median\")\n",
    "housing_num = housing.drop(\"ocean_proximity\", axis = 1) # can only handle float, therefore drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e4afbcd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-118.51   ,   34.26   ,   29.     , 2119.     ,  433.     ,\n",
       "       1164.     ,  408.     ,    3.54155])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit imputer instance to the training data using fit()\n",
    "imputer.fit(housing_num)\n",
    "\n",
    "imputer.statistics_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f3b2afaf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-118.51   ,   34.26   ,   29.     , 2119.     ,  433.     ,\n",
       "       1164.     ,  408.     ,    3.54155])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_num.median().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2b77e4f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# use trained imputer to transform the training set by replacing missing values with the learned medians\n",
    "\n",
    "X = imputer.transform(housing_num)\n",
    "housing_tr = pd.DataFrame(X, columns = housing_num.columns,\n",
    "                         index = housing_num.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a50a53f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\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>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12655</th>\n",
       "      <td>INLAND</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15502</th>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>INLAND</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14053</th>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20496</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1481</th>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18125</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5830</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17989</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4861</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ocean_proximity\n",
       "12655          INLAND\n",
       "15502      NEAR OCEAN\n",
       "2908           INLAND\n",
       "14053      NEAR OCEAN\n",
       "20496       <1H OCEAN\n",
       "1481         NEAR BAY\n",
       "18125       <1H OCEAN\n",
       "5830        <1H OCEAN\n",
       "17989       <1H OCEAN\n",
       "4861        <1H OCEAN"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# categorized variable\n",
    "\n",
    "housing_cat = housing[[\"ocean_proximity\"]]\n",
    "housing_cat.head(10)\n",
    "\n",
    "# limited number of possible vaues, each of which represents category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "c8e2676f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.],\n",
       "       [4.],\n",
       "       [1.],\n",
       "       [4.],\n",
       "       [0.],\n",
       "       [3.],\n",
       "       [0.],\n",
       "       [0.],\n",
       "       [0.],\n",
       "       [0.]])"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert categories from text to numbers\n",
    "\n",
    "from sklearn.preprocessing import OrdinalEncoder\n",
    "\n",
    "ordinal_encoder = OrdinalEncoder()\n",
    "housing_cat_encoded = ordinal_encoder.fit_transform(housing_cat)\n",
    "housing_cat_encoded[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ecdf0b45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(['<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY', 'NEAR OCEAN'],\n",
       "       dtype=object)]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ordinal_encoder.categories_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "a3a507b9",
   "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": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one-hot encoding\n",
    "# only one attribute is equal to one (hot), and the others are equal to zero (cold)\n",
    "\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "cat_encoder = OneHotEncoder()\n",
    "housing_cat_1hot = cat_encoder.fit_transform(housing_cat)\n",
    "housing_cat_1hot #output is in Scipy sparse matrix, not NumPy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "79f77796",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 1., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 1.],\n",
       "       [0., 1., 0., 0., 0.],\n",
       "       ...,\n",
       "       [1., 0., 0., 0., 0.],\n",
       "       [1., 0., 0., 0., 0.],\n",
       "       [0., 1., 0., 0., 0.]])"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# converting to NumPy\n",
    "housing_cat_1hot.toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1fd61c8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(['<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY', 'NEAR OCEAN'],\n",
       "       dtype=object)]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get list of categories using the encoder's categories_\n",
    "cat_encoder.categories_"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42ac406a",
   "metadata": {},
   "source": [
    "## Custom Transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "f9e35b26",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator, TransformerMixin # TransformerMixin = gives the result for fit_transform()\n",
    "\n",
    "rooms_ix, bedrooms_ix, population_ix, households_ix = 3, 4, 5, 6\n",
    "\n",
    "# Adding Combined Attributes\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):\n",
    "        rooms_per_household = X[:, rooms_ix] / X[:, households_ix]\n",
    "        population_per_household = X[:, population_ix] / X[:, households_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",
    "        \n",
    "attr_adder = CombinedAttributesAdder(add_bedrooms_per_room = False)\n",
    "housing_extra_attribs = attr_adder.transform(housing.values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2c186a8",
   "metadata": {},
   "source": [
    "## Transformation Pipelines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "e60cd5d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler # feature scaling - standardization\n",
    "\n",
    "# takes a list of name/estimator pairs defining a sequence of steps\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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a4a82657",
   "metadata": {},
   "outputs": [],
   "source": [
    "# combining categorical and numerical columns\n",
    "\n",
    "from sklearn.compose import ColumnTransformer\n",
    "\n",
    "num_attribs = list(housing_num)\n",
    "cat_attribs = [\"ocean_proximity\"]\n",
    "\n",
    "full_pipeline = ColumnTransformer([\n",
    "    (\"num\", num_pipeline, num_attribs),  # numerical - dense matrix\n",
    "    (\"cat\", OneHotEncoder(), cat_attribs), # categorical - sparse matrix\n",
    "])\n",
    "\n",
    "housing_prepared = full_pipeline.fit_transform(housing)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "013381fb",
   "metadata": {},
   "source": [
    "## Select and Train a Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "dbd8a142",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# training and evaluating on the training set\n",
    "# Linear Regression\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "lin_reg = LinearRegression()\n",
    "lin_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "23a2442c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predictions: [ 85657.90192014 305492.60737488 152056.46122456 186095.70946094\n",
      " 244550.67966089]\n",
      "Labels: [72100.0, 279600.0, 82700.0, 112500.0, 238300.0]\n"
     ]
    }
   ],
   "source": [
    "# instances from the training set\n",
    "\n",
    "some_data = housing.iloc[:5]\n",
    "some_labels = housing_labels.iloc[:5]\n",
    "some_data_prepared = full_pipeline.transform(some_data)\n",
    "print(\"Predictions:\", lin_reg.predict(some_data_prepared))\n",
    "print(\"Labels:\", list(some_labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "308fe246",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "68627.87390018745"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# RMSE - prediction error\n",
    "\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\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": 51,
   "id": "fe6ed36f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeRegressor()"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Decision Tree\n",
    "\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "\n",
    "tree_reg = DecisionTreeRegressor()\n",
    "tree_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "6055e904",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 52,
     "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"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "553dc34f",
   "metadata": {},
   "source": [
    "## Cross-Validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "7156f35a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# K-fold cross-validation\n",
    "\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "scores = cross_val_score(tree_reg, housing_prepared, housing_labels,\n",
    "                        scoring = \"neg_mean_squared_error\", cv = 10) # randomly split training into 10 folds\n",
    "tree_rmse_scores = np.sqrt(-scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "dfd20aec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores: [72517.80313543 69785.1431018  69016.03123961 72522.79571895\n",
      " 68335.54554119 77815.00629711 71606.10904961 73652.02394239\n",
      " 67913.83541385 71215.28327669]\n",
      "Mean: 71437.95767166393\n",
      "Standard deviation: 2804.131943560076\n"
     ]
    }
   ],
   "source": [
    "# displaying results\n",
    "\n",
    "def display_scores(scores):\n",
    "    print(\"Scores:\", scores)\n",
    "    print(\"Mean:\", scores.mean())\n",
    "    print(\"Standard deviation:\", scores.std())\n",
    "    \n",
    "display_scores(tree_rmse_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "a41b30df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores: [71762.76364394 64114.99166359 67771.17124356 68635.19072082\n",
      " 66846.14089488 72528.03725385 73997.08050233 68802.33629334\n",
      " 66443.28836884 70139.79923956]\n",
      "Mean: 69104.07998247063\n",
      "Standard deviation: 2880.328209818062\n"
     ]
    }
   ],
   "source": [
    "# Linear Regression\n",
    "\n",
    "lin_scores = cross_val_score(lin_reg, housing_prepared, housing_labels,\n",
    "                            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": 57,
   "id": "3765637a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores: [51708.9260881  48919.09981712 46960.49817275 52154.0995781\n",
      " 47669.86726642 51953.73912524 52134.39256736 50068.82865522\n",
      " 48922.21886292 53844.54117052]\n",
      "Mean: 50433.62113037586\n",
      "Standard deviation: 2140.941620301288\n"
     ]
    }
   ],
   "source": [
    "# Random Forest\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "forest_reg = RandomForestRegressor()\n",
    "forest_reg.fit(housing_prepared, housing_labels)\n",
    "\n",
    "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",
    "forest_scores = cross_val_score(forest_reg, housing_prepared, housing_labels,\n",
    "                               scoring = \"neg_mean_squared_error\", cv = 10)\n",
    "forest_rmse_scores = np.sqrt(-forest_scores)\n",
    "display_scores(forest_rmse_scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc39dcd0",
   "metadata": {},
   "source": [
    "## Fine Tuning the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9242574d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, estimator=RandomForestRegressor(),\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": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grid Search - tell which hyperparameter to experiment with\n",
    "# it will use cross-validation to evaluate all the possible combinations of hyperparameter values\n",
    "\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "param_grid = [\n",
    "    {'n_estimators': [3, 10, 30], 'max_features': [2, 4, 6, 8]}, # 3 x 4 = 12 combinations\n",
    "    {'bootstrap':[False], 'n_estimators': [3, 10], 'max_features': [2, 3, 4]}, # 2 x 3 = 6 combinations\n",
    "    # total = 12 + 6 = 18 combination of RandomForestRegressor hyperparameter values\n",
    "]\n",
    "\n",
    "forest_reg = RandomForestRegressor()\n",
    "\n",
    "grid_search = GridSearchCV(forest_reg, param_grid, cv = 5, # five fold = train 5 times --> 18 x 5 = 90 trains\n",
    "                          scoring = 'neg_mean_squared_error',\n",
    "                          return_train_score = True)\n",
    "grid_search.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "17bb2f86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'max_features': 6, 'n_estimators': 30}"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_search.best_params_ # best combination of parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "f4cd4734",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(max_features=6, n_estimators=30)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_search.best_estimator_ # get best estimator directly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "3104e24b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "63599.37454486866 {'max_features': 2, 'n_estimators': 3}\n",
      "55559.545705166296 {'max_features': 2, 'n_estimators': 10}\n",
      "52728.47091141619 {'max_features': 2, 'n_estimators': 30}\n",
      "60098.368064968825 {'max_features': 4, 'n_estimators': 3}\n",
      "53173.59668498553 {'max_features': 4, 'n_estimators': 10}\n",
      "50623.38234839139 {'max_features': 4, 'n_estimators': 30}\n",
      "59731.429120370616 {'max_features': 6, 'n_estimators': 3}\n",
      "52497.863085496436 {'max_features': 6, 'n_estimators': 10}\n",
      "49570.31944817963 {'max_features': 6, 'n_estimators': 30}\n",
      "58745.68917192501 {'max_features': 8, 'n_estimators': 3}\n",
      "51996.744682148514 {'max_features': 8, 'n_estimators': 10}\n",
      "49850.54690864133 {'max_features': 8, 'n_estimators': 30}\n",
      "62234.32607999189 {'bootstrap': False, 'max_features': 2, 'n_estimators': 3}\n",
      "54553.35260064979 {'bootstrap': False, 'max_features': 2, 'n_estimators': 10}\n",
      "59391.60287079143 {'bootstrap': False, 'max_features': 3, 'n_estimators': 3}\n",
      "52028.93297976943 {'bootstrap': False, 'max_features': 3, 'n_estimators': 10}\n",
      "56747.19949634751 {'bootstrap': False, 'max_features': 4, 'n_estimators': 3}\n",
      "51489.6919223419 {'bootstrap': False, 'max_features': 4, 'n_estimators': 10}\n"
     ]
    }
   ],
   "source": [
    "# evaluation scores\n",
    "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": "markdown",
   "id": "7c3edace",
   "metadata": {},
   "source": [
    "## Analyze the Best Models and Their Errors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "e530ebca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([8.10638652e-02, 6.91813207e-02, 4.22480846e-02, 1.85090033e-02,\n",
       "       1.68473343e-02, 1.70841695e-02, 1.68054177e-02, 3.25566417e-01,\n",
       "       6.10519309e-02, 1.07794167e-01, 7.54047266e-02, 1.51572989e-02,\n",
       "       1.44838706e-01, 7.08450051e-05, 2.21251543e-03, 6.16419789e-03])"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_importances = grid_search.best_estimator_.feature_importances_\n",
    "feature_importances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "d3dadeb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0.3255664174350315, 'median_income'),\n",
       " (0.10779416668473761, 'pop_per_hhold'),\n",
       " (0.08106386517407614, 'longitude'),\n",
       " (0.07540472656025471, 'bedrooms_per_room'),\n",
       " (0.0691813207057914, 'latitude'),\n",
       " (0.061051930898179244, 'room_per_hhold'),\n",
       " (0.0422480846368855, 'housing_median_age'),\n",
       " (0.01850900332424228, 'total_rooms'),\n",
       " (0.01708416951340883, 'population'),\n",
       " (0.01684733427315265, 'total_bedrooms'),\n",
       " (0.016805417669500763, 'households'),\n",
       " (0.015157298882828206, 'a')]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_attribs = [\"room_per_hhold\", \"pop_per_hhold\", \"bedrooms_per_room\"]\n",
    "cat_encoder = full_pipeline.named_transformers_[\"cat\"]\n",
    "cat_one_hot_attribs = list(cat_encoder.categories[0]) # categorical variable\n",
    "attributes = num_attribs + extra_attribs + cat_one_hot_attribs\n",
    "sorted(zip(feature_importances, attributes), reverse=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7c27852",
   "metadata": {},
   "source": [
    "## Evaluate System on Test Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "fdc58a92",
   "metadata": {},
   "outputs": [],
   "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\"].copy()\n",
    "\n",
    "X_test_prepared = full_pipeline.transform(X_test) # Not fit_transform()!! Do not fit the test 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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "ba23a414",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([45920.67991787, 49827.43231716])"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 95% confidence interval - for generalization error\n",
    "\n",
    "from scipy import stats\n",
    "\n",
    "confidence = 0.95\n",
    "squared_errors = (final_predictions - y_test)**2\n",
    "np.sqrt(stats.t.interval(confidence, len(squared_errors) - 1,\n",
    "                        loc = squared_errors.mean(),\n",
    "                        scale = stats.sem(squared_errors)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "658500fb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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