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{
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 "metadata": {
 "colab": {
 "provenance": []
 },
 "kernelspec": {
 "name": "python3",
 "display_name": "Python 3"
 },
 "language_info": {
 "name": "python"
 }
 },
 "cells": [
 {
 "cell_type": "code",
 "execution_count": null,
 "metadata": {
 "colab": {
 "base_uri": "https://localhost:8080/"
 },
 "id": "o0zOsxIHcO5z",
 "outputId": "1da95288-18a3-4984-f9b9-3be8381ca125"
 },
 "outputs": [
 {
 "output_type": "stream",
 "name": "stdout",
 "text": [
 "Populating the interactive namespace from numpy and matplotlib\n"
 ]
 }
 ],
 "source": [
 "import pandas as pd\n",
 "import numpy as np\n",
 "%pylab inline"
 ]
 },
 {
 "cell_type": "code",
 "source": [
 "data = pd.read_csv(\"./sample_data/california_housing_train.csv\")\n",
 "data.head()"
 ],
 "metadata": {
 "colab": {
 "base_uri": "https://localhost:8080/",
 "height": 268
 },
 "id": "UjZ_h-zHcTt5",
 "outputId": "928df7f2-28c9-442c-f4a0-c31c341ba501"
 },
 "execution_count": null,
 "outputs": [
 {
 "output_type": "execute_result",
 "data": {
 "text/plain": [
 " longitude latitude housing_median_age total_rooms total_bedrooms \\\n",
 "0 -114.31 34.19 15.0 5612.0 1283.0 \n",
 "1 -114.47 34.40 19.0 7650.0 1901.0 \n",
 "2 -114.56 33.69 17.0 720.0 174.0 \n",
 "3 -114.57 33.64 14.0 1501.0 337.0 \n",
 "4 -114.57 33.57 20.0 1454.0 326.0 \n",
 "\n",
 " population households median_income median_house_value \n",
 "0 1015.0 472.0 1.4936 66900.0 \n",
 "1 1129.0 463.0 1.8200 80100.0 \n",
 "2 333.0 117.0 1.6509 85700.0 \n",
 "3 515.0 226.0 3.1917 73400.0 \n",
 "4 624.0 262.0 1.9250 65500.0 "
 ],
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 "<style scoped>\n",
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 "<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",
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 " <th>0</th>\n",
 " <td>-114.31</td>\n",
 " <td>34.19</td>\n",
 " <td>15.0</td>\n",
 " <td>5612.0</td>\n",
 " <td>1283.0</td>\n",
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 " <td>472.0</td>\n",
 " <td>1.4936</td>\n",
 " <td>66900.0</td>\n",
 " </tr>\n",
 " <tr>\n",
 " <th>1</th>\n",
 " <td>-114.47</td>\n",
 " <td>34.40</td>\n",
 " <td>19.0</td>\n",
 " <td>7650.0</td>\n",
 " <td>1901.0</td>\n",
 " <td>1129.0</td>\n",
 " <td>463.0</td>\n",
 " <td>1.8200</td>\n",
 " <td>80100.0</td>\n",
 " </tr>\n",
 " <tr>\n",
 " <th>2</th>\n",
 " <td>-114.56</td>\n",
 " <td>33.69</td>\n",
 " <td>17.0</td>\n",
 " <td>720.0</td>\n",
 " <td>174.0</td>\n",
 " <td>333.0</td>\n",
 " <td>117.0</td>\n",
 " <td>1.6509</td>\n",
 " <td>85700.0</td>\n",
 " </tr>\n",
 " <tr>\n",
 " <th>3</th>\n",
 " <td>-114.57</td>\n",
 " <td>33.64</td>\n",
 " <td>14.0</td>\n",
 " <td>1501.0</td>\n",
 " <td>337.0</td>\n",
 " <td>515.0</td>\n",
 " <td>226.0</td>\n",
 " <td>3.1917</td>\n",
 " <td>73400.0</td>\n",
 " </tr>\n",
 " <tr>\n",
 " <th>4</th>\n",
 " <td>-114.57</td>\n",
 " <td>33.57</td>\n",
 " <td>20.0</td>\n",
 " <td>1454.0</td>\n",
 " <td>326.0</td>\n",
 " <td>624.0</td>\n",
 " <td>262.0</td>\n",
 " <td>1.9250</td>\n",
 " <td>65500.0</td>\n",
 " </tr>\n",
 " </tbody>\n",
 "</table>\n",
 "</div>\n",
 " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fd2cf875-d882-43c6-975a-de5a150f519f')\"\n",
 " title=\"Convert this dataframe to an interactive table.\"\n",
 " style=\"display:none;\">\n",
 " \n",
 " <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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 " </svg>\n",
 " </button>\n",
 " \n",
 " <style>\n",
 " .colab-df-container {\n",
 " display:flex;\n",
 " flex-wrap:wrap;\n",
 " gap: 12px;\n",
 " }\n",
 "\n",
 " .colab-df-convert {\n",
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 " border: none;\n",
 " border-radius: 50%;\n",
 " cursor: pointer;\n",
 " display: none;\n",
 " fill: #1967D2;\n",
 " height: 32px;\n",
 " padding: 0 0 0 0;\n",
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 " }\n",
"\n",
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 " fill: #D2E3FC;\n",
 " }\n",
 "\n",
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 " </style>\n",
 "\n",
 " <script>\n",
 " const buttonEl =\n",
 " document.querySelector('#df-fd2cf875-d882-43c6-975a-de5a150f519f button.colab-df-convert');\n",
 " buttonEl.style.display =\n",
 " google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
 "\n",
 " async function convertToInteractive(key) {\n",
 " const element = document.querySelector('#df-fd2cf875-d882-43c6-975a-de5a150f519f');\n",
 " const dataTable =\n",
 " await google.colab.kernel.invokeFunction('convertToInteractive',\n",
 " [key], {});\n",
 " if (!dataTable) return;\n",
 "\n",
 " const docLinkHtml = 'Like what you see? Visit the ' +\n",
 " '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
 " + ' to learn more about interactive tables.';\n",
 " element.innerHTML = '';\n",
 " dataTable['output_type'] = 'display_data';\n",
 " await google.colab.output.renderOutput(dataTable, element);\n",
 " const docLink = document.createElement('div');\n",
 " docLink.innerHTML = docLinkHtml;\n",
 " element.appendChild(docLink);\n",
 " }\n",
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 " </div>\n",
 " "
 ]
 },
 "metadata": {},
 "execution_count": 2
 }
 ]
 },
 {
 "cell_type": "code",
 "source": [
 "from sklearn.tree import DecisionTreeRegressor, plot_tree\n",
 "from sklearn.model_selection import train_test_split\n",
 "from sklearn.metrics import mean_squared_error"
 ],
 "metadata": {
 "id": "1SnozBCMcXI9"
 },
 "execution_count": null,
 "outputs": []
 },
 {
 "cell_type": "code",
 "source": [
 "X = data.drop(\"median_house_value\", axis=1)\n",
 "y = data['median_house_value']\n",
 "\n",
 "Xtr, Xval, ytr, yval = train_test_split(X, y, test_size=0.5, random_state=0)\n",
 "\n",
 "\n",
 "arvere = DecisionTreeRegressor(max_depth=1)\n",
 "arvere.fit(Xtr, ytr)\n",
 "\n",
 "p = arvere.predict(Xval)\n",
 "\n",
 "np.sqrt(mean_squared_error(yval, p))"
 ],
 "metadata": {
 "colab": {
 "base_uri": "https://localhost:8080/"
 },
 "id": "5juCoWUUcb8S",
 "outputId": "6d399c6a-1993-4dee-f75c-5d8d614102e2"
 },
 "execution_count": null,
 "outputs": [
 {
 "output_type": "execute_result",
 "data": {
 "text/plain": [
 "96156.45813876118"
 ]
 },
 "metadata": {},
 "execution_count": 19
 }
 ]
 },
 {
 "cell_type": "code",
 "source": [
 "pylab.figure(figsize=(15,10))\n",
 "plot_tree(arvere, feature_names=Xtr.columns)"
 ],
 "metadata": {
 "colab": {
 "base_uri": "https://localhost:8080/",
 "height": 626
 },
 "id": "CB-72sLlcdwE",
 "outputId": "a81544d9-8c5c-4e05-b01e-3aaccdb100cd"
 },
 "execution_count": null,
 "outputs": [
 {
 "output_type": "execute_result",
 "data": {
 "text/plain": [
 "[Text(0.5, 0.75, 'median_income <= 5.02\\nsquared_error = 13557558368.64\\nsamples = 8500\\nvalue = 207877.802'),\n",
 " Text(0.25, 0.25, 'squared_error = 8408672354.196\\nsamples = 6650\\nvalue = 173230.209'),\n",
 " Text(0.75, 0.25, 'squared_error = 12239344139.08\\nsamples = 1850\\nvalue = 332421.852')]"
 ]
 },
 "metadata": {},
 "execution_count": 23
 },
 {
 "output_type": "display_data",
 "data": {
 "text/plain": [
 "<Figure size 1080x720 with 1 Axes>"
 ],
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\n"
},
 "metadata": {
 "needs_background": "light"
 }
 }
 ]
 },
 {
 "cell_type": "code",
 "source": [],
 "metadata": {
 "id": "cj-As3MredVR"
 },
 "execution_count": null,
 "outputs": []
 },
 {
 "cell_type": "code",
 "source": [
 "#pylab.figure(figsize=(15,10))\n",
 "#plot_tree(arvere, feature_names=Xtr.columns)"
 ],
 "metadata": {
 "id": "XkQb2mqJck8I"
 },
 "execution_count": null,
 "outputs": []
 }
 ]
}