{"id":3690,"date":"2022-07-21T09:00:00","date_gmt":"2022-07-21T00:00:00","guid":{"rendered":"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/?p=3690"},"modified":"2022-07-21T09:00:00","modified_gmt":"2022-07-21T00:00:00","slug":"%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%a7%e3%82%ab%e3%83%aa%e3%83%95%e3%82%a9%e3%83%ab%e3%83%8b%e3%82%a2%e3%81%ae%e4%bd%8f%e5%ae%85%e4%be%a1%e6%a0%bc%e3%82%92%e4%ba%88%e6%b8%ac%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/07\/21\/%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%a7%e3%82%ab%e3%83%aa%e3%83%95%e3%82%a9%e3%83%ab%e3%83%8b%e3%82%a2%e3%81%ae%e4%bd%8f%e5%ae%85%e4%be%a1%e6%a0%bc%e3%82%92%e4%ba%88%e6%b8%ac%e3%81%99%e3%82%8b\/","title":{"rendered":"\u6a5f\u68b0\u5b66\u7fd2\u3067\u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u306e\u4f4f\u5b85\u4fa1\u683c\u3092\u4e88\u6e2c\u3059\u308b"},"content":{"rendered":"<p><a href=\"https:\/\/colab.research.google.com\/github\/T-QARD\/t-wave\/blob\/main\/notebooks\/housing_price_prediction\/housing_price_prediction.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/colab.research.google.com\/assets\/colab-badge.svg\" alt=\"Open in Colab\"><\/a><\/p>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-white ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title ez-toc-toggle\" style=\"cursor:pointer\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/07\/21\/%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%a7%e3%82%ab%e3%83%aa%e3%83%95%e3%82%a9%e3%83%ab%e3%83%8b%e3%82%a2%e3%81%ae%e4%bd%8f%e5%ae%85%e4%be%a1%e6%a0%bc%e3%82%92%e4%ba%88%e6%b8%ac%e3%81%99%e3%82%8b\/#%E6%A6%82%E8%A6%81\" >\u6982\u8981<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/07\/21\/%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%a7%e3%82%ab%e3%83%aa%e3%83%95%e3%82%a9%e3%83%ab%e3%83%8b%e3%82%a2%e3%81%ae%e4%bd%8f%e5%ae%85%e4%be%a1%e6%a0%bc%e3%82%92%e4%ba%88%e6%b8%ac%e3%81%99%e3%82%8b\/#%E6%96%B9%E6%B3%95\" >\u65b9\u6cd5<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/07\/21\/%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%a7%e3%82%ab%e3%83%aa%e3%83%95%e3%82%a9%e3%83%ab%e3%83%8b%e3%82%a2%e3%81%ae%e4%bd%8f%e5%ae%85%e4%be%a1%e6%a0%bc%e3%82%92%e4%ba%88%e6%b8%ac%e3%81%99%e3%82%8b\/#%E5%AE%9F%E9%A8%93\" >\u5b9f\u9a13<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/07\/21\/%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%a7%e3%82%ab%e3%83%aa%e3%83%95%e3%82%a9%e3%83%ab%e3%83%8b%e3%82%a2%e3%81%ae%e4%bd%8f%e5%ae%85%e4%be%a1%e6%a0%bc%e3%82%92%e4%ba%88%e6%b8%ac%e3%81%99%e3%82%8b\/#%E3%81%82%E3%81%A8%E3%81%8C%E3%81%8D\" >\u3042\u3068\u304c\u304d<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"text_cell_render border-box-sizing rendered_html\"><span class=\"ez-toc-section\" id=\"%E6%A6%82%E8%A6%81\"><\/span><span style=\"color: revert; font-size: revert; font-weight: revert; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif;\">\u6982\u8981<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u30c7\u30fc\u30bf\u5206\u6790\u306b\u306f, \u69d8\u3005\u306a\u30e2\u30c7\u30eb\u304c\u3092\u7528\u3044\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059. \u4eca\u56de\u306f, California House Price\u306e\u30c7\u30fc\u30bf\u5206\u6790\u3092, \u3044\u304f\u3064\u304b\u306e\u30e2\u30c7\u30eb\u3067\u884c\u3044\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h2><span class=\"ez-toc-section\" id=\"%E6%96%B9%E6%B3%95\"><\/span>\u65b9\u6cd5<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u6b21\u306e\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066, California House Price\u306e\u30c7\u30fc\u30bf\u306e\u5206\u6790\u3092\u884c\u3044\u307e\u3059.<\/p>\n<ul>\n<li>RIDGE<\/li>\n<li>LASSO<\/li>\n<li>\u5358\u7d14\u30d9\u30a4\u30ba<\/li>\n<li>SVM<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h2><span class=\"ez-toc-section\" id=\"%E5%AE%9F%E9%A8%93\"><\/span>\u5b9f\u9a13<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3053\u3053\u3067\u306f, Google Colaboratory\u306b\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u5165\u3063\u3066\u3044\u308b, California House Price\u306e\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066, \u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u306e\u4f4f\u5b85\u306e\u4fa1\u683c\u4e88\u6e2c\u3092\u884c\u3044\u307e\u3059.<br \/>\n\u307e\u305a\u306f, \u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">import<\/span> <span class=\"nn\">warnings<\/span>\n\n<span class=\"n\">warnings<\/span><span class=\"o\">.<\/span><span class=\"n\">filterwarnings<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"ignore\"<\/span><span class=\"p\">)<\/span>\n\n<span class=\"kn\">import<\/span> <span class=\"nn\">pandas<\/span> <span class=\"k\">as<\/span> <span class=\"nn\">pd<\/span>\n<span class=\"kn\">import<\/span> <span class=\"nn\">numpy<\/span> <span class=\"k\">as<\/span> <span class=\"nn\">np<\/span>\n\n<span class=\"kn\">from<\/span> <span class=\"nn\">sklearn.preprocessing<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">StandardScaler<\/span>\n<span class=\"kn\">from<\/span> <span class=\"nn\">sklearn.metrics<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">mean_squared_error<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>California House Price\u306e\u30c7\u30fc\u30bf\u3092\u6e96\u5099\u3057\u307e\u3059. \u3053\u3053\u3067\u4f7f\u3046\u30c7\u30fc\u30bf\u306f, Google Colaboratory\u306b\u3066\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u7528\u610f\u3055\u308c\u3066\u3044\u308b\u3082\u306e\u3067\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">train_df<\/span> <span class=\"o\">=<\/span> <span class=\"n\">pd<\/span><span class=\"o\">.<\/span><span class=\"n\">read_csv<\/span><span class=\"p\">(<\/span><span class=\"s2\">\".\/sample_data\/california_housing_train.csv\"<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">test_df<\/span> <span class=\"o\">=<\/span> <span class=\"n\">pd<\/span><span class=\"o\">.<\/span><span class=\"n\">read_csv<\/span><span class=\"p\">(<\/span><span class=\"s2\">\".\/sample_data\/california_housing_test.csv\"<\/span><span class=\"p\">)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u30c7\u30fc\u30bf\u306e\u4e2d\u8eab\u3092\u8868\u793a\u3057\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">train_df<\/span><span class=\"o\">.<\/span><span class=\"n\">head<\/span><span class=\"p\">()<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt output_prompt\">Out[&nbsp;]:<\/div>\n<div class=\"output_html rendered_html output_subarea output_execute_result\">\n<div id=\"df-636c1f85-2150-49d0-bae4-1115cd2dc33c\">\n<div class=\"colab-df-container\">\n<div>\n<style scoped=\"\">\n    .dataframe tbody tr th:only-of-type {<br \/>\n        vertical-align: middle;<br \/>\n    }<\/p>\n<p>    .dataframe tbody tr th {<br \/>\n        vertical-align: top;<br \/>\n    }<\/p>\n<p>    .dataframe thead th {<br \/>\n        text-align: right;<br \/>\n    }<br \/>\n<\/style>\n<table class=\"dataframe\" border=\"1\">\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>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<td>1015.0<\/td>\n<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<style>\n    .colab-df-container {<br \/>\n      display:flex;<br \/>\n      flex-wrap:wrap;<br \/>\n      gap: 12px;<br \/>\n    }<\/p>\n<p>    .colab-df-convert {<br \/>\n      background-color: #E8F0FE;<br \/>\n      border: none;<br \/>\n      border-radius: 50%;<br \/>\n      cursor: pointer;<br \/>\n      display: none;<br \/>\n      fill: #1967D2;<br \/>\n      height: 32px;<br \/>\n      padding: 0 0 0 0;<br \/>\n      width: 32px;<br \/>\n    }<\/p>\n<p>    .colab-df-convert:hover {<br \/>\n      background-color: #E2EBFA;<br \/>\n      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);<br \/>\n      fill: #174EA6;<br \/>\n    }<\/p>\n<p>    [theme=dark] .colab-df-convert {<br \/>\n      background-color: #3B4455;<br \/>\n      fill: #D2E3FC;<br \/>\n    }<\/p>\n<p>    [theme=dark] .colab-df-convert:hover {<br \/>\n      background-color: #434B5C;<br \/>\n      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);<br \/>\n      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));<br \/>\n      fill: #FFFFFF;<br \/>\n    }<br \/>\n  <\/style>\n<p><script><br \/>\n        const buttonEl =<br \/>\n          document.querySelector('#df-636c1f85-2150-49d0-bae4-1115cd2dc33c button.colab-df-convert');<br \/>\n        buttonEl.style.display =<br \/>\n          google.colab.kernel.accessAllowed ? 'block' : 'none';<\/p>\n<p>        async function convertToInteractive(key) {<br \/>\n          const element = document.querySelector('#df-636c1f85-2150-49d0-bae4-1115cd2dc33c');<br \/>\n          const dataTable =<br \/>\n            await google.colab.kernel.invokeFunction('convertToInteractive',<br \/>\n                                                     [key], {});<br \/>\n          if (!dataTable) return;<\/p>\n<p>          const docLinkHtml = 'Like what you see? Visit the ' +<br \/>\n            '<a target=\"_blank\" href=https:\/\/colab.research.google.com\/notebooks\/data_table.ipynb>data table notebook<\/a>'<br \/>\n            + ' to learn more about interactive tables.';<br \/>\n          element.innerHTML = '';<br \/>\n          dataTable['output_type'] = 'display_data';<br \/>\n          await google.colab.output.renderOutput(dataTable, element);<br \/>\n          const docLink = document.createElement('div');<br \/>\n          docLink.innerHTML = docLinkHtml;<br \/>\n          element.appendChild(docLink);<br \/>\n        }<br \/>\n      <\/script><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066, \u524d\u51e6\u7406\u3092\u304a\u3053\u306a\u3044\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">train_df<\/span><span class=\"o\">.<\/span><span class=\"n\">fillna<\/span><span class=\"p\">(<\/span><span class=\"n\">train_df<\/span><span class=\"o\">.<\/span><span class=\"n\">mean<\/span><span class=\"p\">(),<\/span> <span class=\"n\">inplace<\/span><span class=\"o\">=<\/span><span class=\"kc\">True<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">test_df<\/span><span class=\"o\">.<\/span><span class=\"n\">fillna<\/span><span class=\"p\">(<\/span><span class=\"n\">train_df<\/span><span class=\"o\">.<\/span><span class=\"n\">mean<\/span><span class=\"p\">(),<\/span> <span class=\"n\">inplace<\/span><span class=\"o\">=<\/span><span class=\"kc\">True<\/span><span class=\"p\">)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u8a13\u7df4\u30c7\u30fc\u30bf\u306b\u3064\u3044\u3066, \u4e88\u6e2c\u3057\u305f\u3044\u3082\u306e\u3068, \u4e88\u6e2c\u3059\u308b\u305f\u3081\u306b\u7528\u3044\u308b\u30c7\u30fc\u30bf\uff08\u7279\u5fb4\u91cf\uff09\u3068\u306b\u5206\u3051\u307e\u3059. \u305d\u308c\u305e\u308c\u3092\u8868\u793a\u3057\u3066\u307f\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">X_train<\/span> <span class=\"o\">=<\/span> <span class=\"n\">train_df<\/span><span class=\"o\">.<\/span><span class=\"n\">drop<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"median_house_value\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">axis<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">y_train<\/span> <span class=\"o\">=<\/span> <span class=\"n\">train_df<\/span><span class=\"p\">[<\/span><span class=\"s2\">\"median_house_value\"<\/span><span class=\"p\">]<\/span>\n\n<span class=\"n\">X_train<\/span><span class=\"o\">.<\/span><span class=\"n\">head<\/span><span class=\"p\">()<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt output_prompt\">Out[&nbsp;]:<\/div>\n<div class=\"output_html rendered_html output_subarea output_execute_result\">\n<div id=\"df-b93b8cd4-820b-46de-a720-0ada088b8da8\">\n<div class=\"colab-df-container\">\n<div>\n<style scoped=\"\">\n    .dataframe tbody tr th:only-of-type {<br \/>\n        vertical-align: middle;<br \/>\n    }<\/p>\n<p>    .dataframe tbody tr th {<br \/>\n        vertical-align: top;<br \/>\n    }<\/p>\n<p>    .dataframe thead th {<br \/>\n        text-align: right;<br \/>\n    }<br \/>\n<\/style>\n<table class=\"dataframe\" border=\"1\">\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>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<td>1015.0<\/td>\n<td>472.0<\/td>\n<td>1.4936<\/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<\/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<\/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<\/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<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<style>\n    .colab-df-container {<br \/>\n      display:flex;<br \/>\n      flex-wrap:wrap;<br \/>\n      gap: 12px;<br \/>\n    }<\/p>\n<p>    .colab-df-convert {<br \/>\n      background-color: #E8F0FE;<br \/>\n      border: none;<br \/>\n      border-radius: 50%;<br \/>\n      cursor: pointer;<br \/>\n      display: none;<br \/>\n      fill: #1967D2;<br \/>\n      height: 32px;<br \/>\n      padding: 0 0 0 0;<br \/>\n      width: 32px;<br \/>\n    }<\/p>\n<p>    .colab-df-convert:hover {<br \/>\n      background-color: #E2EBFA;<br \/>\n      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);<br \/>\n      fill: #174EA6;<br \/>\n    }<\/p>\n<p>    [theme=dark] .colab-df-convert {<br \/>\n      background-color: #3B4455;<br \/>\n      fill: #D2E3FC;<br \/>\n    }<\/p>\n<p>    [theme=dark] .colab-df-convert:hover {<br \/>\n      background-color: #434B5C;<br \/>\n      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);<br \/>\n      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));<br \/>\n      fill: #FFFFFF;<br \/>\n    }<br \/>\n  <\/style>\n<p><script><br \/>\n        const buttonEl =<br \/>\n          document.querySelector('#df-b93b8cd4-820b-46de-a720-0ada088b8da8 button.colab-df-convert');<br \/>\n        buttonEl.style.display =<br \/>\n          google.colab.kernel.accessAllowed ? 'block' : 'none';<\/p>\n<p>        async function convertToInteractive(key) {<br \/>\n          const element = document.querySelector('#df-b93b8cd4-820b-46de-a720-0ada088b8da8');<br \/>\n          const dataTable =<br \/>\n            await google.colab.kernel.invokeFunction('convertToInteractive',<br \/>\n                                                     [key], {});<br \/>\n          if (!dataTable) return;<\/p>\n<p>          const docLinkHtml = 'Like what you see? Visit the ' +<br \/>\n            '<a target=\"_blank\" href=https:\/\/colab.research.google.com\/notebooks\/data_table.ipynb>data table notebook<\/a>'<br \/>\n            + ' to learn more about interactive tables.';<br \/>\n          element.innerHTML = '';<br \/>\n          dataTable['output_type'] = 'display_data';<br \/>\n          await google.colab.output.renderOutput(dataTable, element);<br \/>\n          const docLink = document.createElement('div');<br \/>\n          docLink.innerHTML = docLinkHtml;<br \/>\n          element.appendChild(docLink);<br \/>\n        }<br \/>\n      <\/script><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">y_train<\/span><span class=\"o\">.<\/span><span class=\"n\">head<\/span><span class=\"p\">()<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt output_prompt\">Out[&nbsp;]:<\/div>\n<div class=\"output_text output_subarea output_execute_result\">\n<pre>0    66900.0\n1    80100.0\n2    85700.0\n3    73400.0\n4    65500.0\nName: median_house_value, dtype: float64<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306b\u3064\u3044\u3066\u3082, \u540c\u69d8\u306b\u3057\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">X_test<\/span> <span class=\"o\">=<\/span> <span class=\"n\">test_df<\/span><span class=\"o\">.<\/span><span class=\"n\">drop<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"median_house_value\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">axis<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">y_test<\/span> <span class=\"o\">=<\/span> <span class=\"n\">test_df<\/span><span class=\"p\">[<\/span><span class=\"s2\">\"median_house_value\"<\/span><span class=\"p\">]<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>RIDGE<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u307e\u305a\u306f, \u30ea\u30c3\u30b8\u56de\u5e30\u3092\u884c\u3063\u3066\u307f\u307e\u3059. \u53c2\u8003\u30b5\u30a4\u30c8\uff1a<a href=\"https:\/\/panda-clip.com\/boston-ridge\/\">https:\/\/panda-clip.com\/boston-ridge\/<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u4e88\u6e2c\u306e\u7cbe\u5ea6\u306f, \u6c7a\u5b9a\u4fc2\u6570\u3068\u3044\u3046\u6307\u6a19\u3067\u793a\u3057\u3066\u3044\u307e\u3059. \u6c7a\u5b9a\u4fc2\u6570R2\u3068\u306f, \u5404\u30c7\u30fc\u30bf\u306e\u56de\u5e30\u76f4\u7dda\u304b\u3089\u306e\u8ddd\u96e2\u306e\u7dcf\u548c\u3092\u8003\u3048\u308b\u3053\u3068\u3067\u6c42\u307e\u308a\u307e\u3059. \u6c7a\u5b9a\u4fc2\u6570\u306e\u5024\u304c\u5927\u304d\u3044\u7a0b, \u4e88\u6e2c\u306e\u7cbe\u5ea6\u304c\u9ad8\u3044\u3068\u8a00\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059. \u3055\u3089\u306b, RMSE\u3082\u8868\u793a\u3057\u3066\u3044\u307e\u3059. \u3053\u308c\u306f, \u4e88\u6e2c\u5024\u3068\u6b63\u89e3\u5024\u306e\u5dee\u30922\u4e57\u3057\u3066, \u5168\u3066\u306e\u30c7\u30fc\u30bf\u306b\u3064\u3044\u3066\u548c\u3092\u53d6\u3063\u305f\u3082\u306e\u3067, \u3053\u306e\u5024\u304c\u5c0f\u3055\u3044\u7a0b, \u4e88\u6e2c\u306e\u7cbe\u5ea6\u304c\u9ad8\u3044\u3068\u8a00\u3048\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">from<\/span> <span class=\"nn\">sklearn<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">linear_model<\/span>\n\n<span class=\"c1\"># Ridge\u56de\u5e30<\/span>\n<span class=\"n\">reg<\/span> <span class=\"o\">=<\/span> <span class=\"n\">linear_model<\/span><span class=\"o\">.<\/span><span class=\"n\">Ridge<\/span><span class=\"p\">(<\/span><span class=\"n\">alpha<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">)<\/span><span class=\"o\">.<\/span><span class=\"n\">fit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"alpha=0\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u3000\uff1a<\/span><span class=\"si\">{:.7f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">score<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)))<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\uff1a<\/span><span class=\"si\">{:.7f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">score<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">)))<\/span>\n<span class=\"n\">y_pred_reg<\/span> <span class=\"o\">=<\/span> <span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">predict<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"RMSE\uff1a<\/span><span class=\"si\">{:.3f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_pred_reg<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">))))<\/span>\n\n<span class=\"n\">reg<\/span> <span class=\"o\">=<\/span> <span class=\"n\">linear_model<\/span><span class=\"o\">.<\/span><span class=\"n\">Ridge<\/span><span class=\"p\">(<\/span><span class=\"n\">alpha<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.1<\/span><span class=\"p\">)<\/span><span class=\"o\">.<\/span><span class=\"n\">fit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"alpha=0.1\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u3000\uff1a<\/span><span class=\"si\">{:.7f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">score<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)))<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\uff1a<\/span><span class=\"si\">{:.7f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">score<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">)))<\/span>\n<span class=\"n\">y_pred_reg<\/span> <span class=\"o\">=<\/span> <span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">predict<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"RMSE\uff1a<\/span><span class=\"si\">{:.3f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_pred_reg<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">))))<\/span>\n\n<span class=\"n\">reg<\/span> <span class=\"o\">=<\/span> <span class=\"n\">linear_model<\/span><span class=\"o\">.<\/span><span class=\"n\">Ridge<\/span><span class=\"p\">(<\/span><span class=\"n\">alpha<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">)<\/span><span class=\"o\">.<\/span><span class=\"n\">fit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"alpha=0.5\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u3000\uff1a<\/span><span class=\"si\">{:.7f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">score<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)))<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\uff1a<\/span><span class=\"si\">{:.7f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">score<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">)))<\/span>\n<span class=\"n\">y_pred_reg<\/span> <span class=\"o\">=<\/span> <span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">predict<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"RMSE\uff1a<\/span><span class=\"si\">{:.3f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_pred_reg<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">))))<\/span>\n\n<span class=\"n\">reg<\/span> <span class=\"o\">=<\/span> <span class=\"n\">linear_model<\/span><span class=\"o\">.<\/span><span class=\"n\">Ridge<\/span><span class=\"p\">(<\/span><span class=\"n\">alpha<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span><span class=\"o\">.<\/span><span class=\"n\">fit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"alpha=1\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u3000\uff1a<\/span><span class=\"si\">{:.7f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">score<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)))<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\uff1a<\/span><span class=\"si\">{:.7f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">score<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">)))<\/span>\n<span class=\"n\">y_pred_reg<\/span> <span class=\"o\">=<\/span> <span class=\"n\">reg<\/span><span class=\"o\">.<\/span><span class=\"n\">predict<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"RMSE\uff1a<\/span><span class=\"si\">{:.3f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_pred_reg<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">))))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_subarea output_stream output_stdout output_text\">\n<pre>alpha=0\n\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u3000\uff1a0.6413379\n\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\uff1a0.6195058\nRMSE\uff1a69765.360\nalpha=0.1\n\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u3000\uff1a0.6413379\n\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\uff1a0.6195058\nRMSE\uff1a69765.353\nalpha=0.5\n\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u3000\uff1a0.6413379\n\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\uff1a0.6195062\nRMSE\uff1a69765.324\nalpha=1\n\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u3000\uff1a0.6413378\n\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\uff1a0.6195066\nRMSE\uff1a69765.288\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u4e0a\u306e\u7d50\u679c\u306e\u901a\u308a, \u56de\u5e30\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u03b1\u3092\u5909\u5316\u3055\u305b\u3066\u3082, \u3042\u307e\u308a\u4e88\u6e2c\u306e\u7cbe\u5ea6\u306b\u5f71\u97ff\u306f\u3042\u308a\u307e\u305b\u3093. \u4e2d\u3067\u306f, \u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3078\u306e\u6c7a\u5b9a\u4fc2\u6570\u304c\u6700\u3082\u5927\u304d\u304f, RMSE\u304c\u6700\u3082\u5c0f\u3055\u3044, alpha=1\u306e\u4e88\u6e2c\u304c\u4e00\u756a\u7cbe\u5ea6\u304c\u9ad8\u3044\u3068\u8a00\u3048\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"c1\"># \u901a\u5e38\u306e\u6700\u5c0f\u4e8c\u4e57\u6cd5\u306b\u3088\u308b\u7dda\u5f62\u56de\u5e30<\/span>\n<span class=\"n\">reg2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">linear_model<\/span><span class=\"o\">.<\/span><span class=\"n\">LinearRegression<\/span><span class=\"p\">()<\/span><span class=\"o\">.<\/span><span class=\"n\">fit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">y_pred_reg2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">reg2<\/span><span class=\"o\">.<\/span><span class=\"n\">predict<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"RMSE\uff1a<\/span><span class=\"si\">{:.3f}<\/span><span class=\"s2\">\"<\/span><span class=\"o\">.<\/span><span class=\"n\">format<\/span><span class=\"p\">(<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_pred_reg2<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">))))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_subarea output_stream output_stdout output_text\">\n<pre>RMSE\uff1a69765.360\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u4e0a\u3067\u8a66\u3057\u305f, Ridge\u56de\u5e30\u306ealpha=1\u306e\u5834\u5408\u306e\u65b9\u304c, RMSE\u304c\u5c0f\u3055\u3044\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>LASSO<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u6b21\u306b, LASSO\u56de\u5e30\u3092\u884c\u3044\u307e\u3059. \u53c2\u8003\u30b5\u30a4\u30c8\uff1a<a href=\"https:\/\/qiita.com\/muscle_nishimi\/items\/901ed94f3cdf1c8d893a\">https:\/\/qiita.com\/muscle_nishimi\/items\/901ed94f3cdf1c8d893a<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u4e0a\u306eRidge\u56de\u5e30\u3067\u306f, \u5b66\u7fd2\u30d1\u30e9\u30a8\u30fc\u30bf\u3067\u3042\u308balpha\u3092, \u3053\u3061\u3089\u5074\u304c\u6307\u5b9a\u3057\u3066\u5b66\u7fd2\u3092\u884c\u3063\u3066\u3044\u307e\u3057\u305f\u304c, \u4eca\u5ea6\u306f, \u6700\u3082\u826f\u3044\u5024\u3092\u63a2\u3057, \u305d\u308c\u3092\u5b66\u7fd2\u306b\u63a1\u7528\u3059\u308b\u65b9\u6cd5\u3092\u53d6\u308a\u307e\u3059. \u6b21\u306e\u95a2\u6570\u3067, \u6700\u3082\u826f\u3044\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6c42\u3081\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">from<\/span> <span class=\"nn\">sklearn.linear_model<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">Lasso<\/span>\n<span class=\"kn\">from<\/span> <span class=\"nn\">sklearn.pipeline<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">make_pipeline<\/span>\n<span class=\"kn\">from<\/span> <span class=\"nn\">sklearn.preprocessing<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">StandardScaler<\/span>\n\n\n<span class=\"k\">def<\/span> <span class=\"nf\">lasso_tuning<\/span><span class=\"p\">(<\/span><span class=\"n\">train_x<\/span><span class=\"p\">,<\/span> <span class=\"n\">train_y<\/span><span class=\"p\">):<\/span>\n    <span class=\"c1\"># alpha\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u30ea\u30b9\u30c8<\/span>\n    <span class=\"n\">param_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"mf\">0.001<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.01<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.1<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">10.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">100.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1000.0<\/span><span class=\"p\">]<\/span>\n\n    <span class=\"k\">for<\/span> <span class=\"n\">cnt<\/span><span class=\"p\">,<\/span> <span class=\"n\">alpha<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">enumerate<\/span><span class=\"p\">(<\/span><span class=\"n\">param_list<\/span><span class=\"p\">):<\/span>\n        <span class=\"c1\"># \u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a2d\u5b9a\u3057\u305f\u30e9\u30c3\u30bd\u56de\u5e30\u30e2\u30c7\u30eb<\/span>\n        <span class=\"n\">lasso<\/span> <span class=\"o\">=<\/span> <span class=\"n\">Lasso<\/span><span class=\"p\">(<\/span><span class=\"n\">alpha<\/span><span class=\"o\">=<\/span><span class=\"n\">alpha<\/span><span class=\"p\">)<\/span>\n        <span class=\"c1\"># \u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u751f\u6210<\/span>\n        <span class=\"n\">pipeline<\/span> <span class=\"o\">=<\/span> <span class=\"n\">make_pipeline<\/span><span class=\"p\">(<\/span><span class=\"n\">StandardScaler<\/span><span class=\"p\">(),<\/span> <span class=\"n\">lasso<\/span><span class=\"p\">)<\/span>\n\n        <span class=\"c1\"># \u5b66\u7fd2<\/span>\n        <span class=\"n\">pipeline<\/span><span class=\"o\">.<\/span><span class=\"n\">fit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n\n        <span class=\"c1\"># RMSE(\u5e73\u5747\u8aa4\u5dee)\u3092\u8a08\u7b97<\/span>\n        <span class=\"n\">train_rmse<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">pipeline<\/span><span class=\"o\">.<\/span><span class=\"n\">predict<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">)))<\/span>\n        <span class=\"n\">test_rmse<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_test<\/span><span class=\"p\">,<\/span> <span class=\"n\">pipeline<\/span><span class=\"o\">.<\/span><span class=\"n\">predict<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">)))<\/span>\n        <span class=\"c1\"># \u30d9\u30b9\u30c8\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u66f4\u65b0<\/span>\n        <span class=\"k\">if<\/span> <span class=\"n\">cnt<\/span> <span class=\"o\">==<\/span> <span class=\"mi\">0<\/span><span class=\"p\">:<\/span>\n            <span class=\"n\">best_score<\/span> <span class=\"o\">=<\/span> <span class=\"n\">test_rmse<\/span>\n            <span class=\"n\">best_param<\/span> <span class=\"o\">=<\/span> <span class=\"n\">alpha<\/span>\n        <span class=\"k\">elif<\/span> <span class=\"n\">best_score<\/span> <span class=\"o\">&gt;<\/span> <span class=\"n\">test_rmse<\/span><span class=\"p\">:<\/span>\n            <span class=\"n\">best_score<\/span> <span class=\"o\">=<\/span> <span class=\"n\">test_rmse<\/span>\n            <span class=\"n\">best_param<\/span> <span class=\"o\">=<\/span> <span class=\"n\">alpha<\/span>\n\n    <span class=\"c1\"># \u30d9\u30b9\u30c8\u30d1\u30e9\u30e1\u30fc\u30bf\u306ealpha\u3068\u3001\u305d\u306e\u3068\u304d\u306eMSE\u3092\u51fa\u529b<\/span>\n    <span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"alpha : \"<\/span> <span class=\"o\">+<\/span> <span class=\"nb\">str<\/span><span class=\"p\">(<\/span><span class=\"n\">best_param<\/span><span class=\"p\">))<\/span>\n    <span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"RMSE : \"<\/span> <span class=\"o\">+<\/span> <span class=\"nb\">str<\/span><span class=\"p\">(<\/span><span class=\"nb\">round<\/span><span class=\"p\">(<\/span><span class=\"n\">best_score<\/span><span class=\"p\">,<\/span> <span class=\"mi\">4<\/span><span class=\"p\">)))<\/span>\n\n    <span class=\"c1\"># \u30d9\u30b9\u30c8\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8fd4\u5374<\/span>\n    <span class=\"k\">return<\/span> <span class=\"n\">best_param<\/span>\n\n\n<span class=\"c1\"># best_alpha\u306b\u30d9\u30b9\u30c8\u30d1\u30e9\u30e1\u30fc\u30bf\u306ealpha\u304c\u6e21\u3055\u308c\u308b\u3002<\/span>\n<span class=\"n\">best_alpha<\/span> <span class=\"o\">=<\/span> <span class=\"n\">lasso_tuning<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_subarea output_stream output_stdout output_text\">\n<pre>alpha : 100.0\nRMSE : 69757.3352\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u4e0a\u3067\u8a66\u3057\u305fRidge\u3088\u308a\u3082RMSE\u304c\u4f4e\u304f, \u4e88\u6e2c\u306e\u7cbe\u5ea6\u304c\u9ad8\u3044\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u5358\u7d14\u30d9\u30a4\u30ba<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u53c2\u8003\u30b5\u30a4\u30c8\uff1a<a href=\"https:\/\/scikit-learn.org\/stable\/modules\/naive_bayes.html\">https:\/\/scikit-learn.org\/stable\/modules\/naive_bayes.html<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">from<\/span> <span class=\"nn\">sklearn.naive_bayes<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">GaussianNB<\/span>\n\n<span class=\"n\">gnb<\/span> <span class=\"o\">=<\/span> <span class=\"n\">GaussianNB<\/span><span class=\"p\">()<\/span><span class=\"o\">.<\/span><span class=\"n\">fit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">y_pred_gnb<\/span> <span class=\"o\">=<\/span> <span class=\"n\">gnb<\/span><span class=\"o\">.<\/span><span class=\"n\">predict<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_pred_gnb<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt output_prompt\">Out[&nbsp;]:<\/div>\n<div class=\"output_text output_subarea output_execute_result\">\n<pre>100358.485516954<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u5358\u7d14\u30d9\u30a4\u30ba\u3067\u306e\u5b66\u7fd2\u3067\u306f, \u8aa4\u5dee\u304c\u975e\u5e38\u306b\u5927\u304d\u304f\u306a\u308a\u307e\u3057\u305f.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30c8\u30eb\u30de\u30b7\u30f3<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">from<\/span> <span class=\"nn\">sklearn.svm<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">SVC<\/span>\n\n<span class=\"n\">svc<\/span> <span class=\"o\">=<\/span> <span class=\"n\">SVC<\/span><span class=\"p\">(<\/span><span class=\"n\">kernel<\/span><span class=\"o\">=<\/span><span class=\"s2\">\"linear\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">random_state<\/span><span class=\"o\">=<\/span><span class=\"kc\">None<\/span><span class=\"p\">)<\/span><span class=\"o\">.<\/span><span class=\"n\">fit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_train<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_train<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">y_pred_svc<\/span> <span class=\"o\">=<\/span> <span class=\"n\">svc<\/span><span class=\"o\">.<\/span><span class=\"n\">predit<\/span><span class=\"p\">(<\/span><span class=\"n\">X_test<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sqrt<\/span><span class=\"p\">(<\/span><span class=\"n\">mean_squared_error<\/span><span class=\"p\">(<\/span><span class=\"n\">y_pred_svc<\/span><span class=\"p\">,<\/span> <span class=\"n\">y_test<\/span><span class=\"p\">))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h2><span class=\"ez-toc-section\" id=\"%E3%81%82%E3%81%A8%E3%81%8C%E3%81%8D\"><\/span>\u3042\u3068\u304c\u304d<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>LASSO\u3067\u884c\u3063\u305f\u30d1\u30e9\u30e1\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u304c\u4eca\u56de\u6700\u3082\u7cbe\u5ea6\u306e\u9ad8\u3044\u4e88\u6e2c\u3092\u5c0e\u3044\u305f\u3053\u3068\u304b\u3089, \u30c7\u30fc\u30bf\u5206\u6790\u306e\u969b\u306f, \u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u6700\u9069\u5316\u3092\u3059\u308b\u3068\u3088\u3044\u4e8b\u304c\u308f\u304b\u308a\u307e\u3057\u305f.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u4eca\u56de\u306f, California House Price\u306e\u30c7\u30fc\u30bf\u5206\u6790\u3092, \u3044\u304f\u3064\u304b\u306e\u30e2\u30c7\u30eb\u3067\u884c\u3044\u307e\u3059.<\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[22,54,73,79,81,89,104],"class_list":["post-3690","post","type-post","status-publish","format-standard","hentry","category-hands-on","tag-lasso","tag-54","tag-73","tag-79","tag-81","tag-89","tag-104"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u6a5f\u68b0\u5b66\u7fd2\u3067\u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u306e\u4f4f\u5b85\u4fa1\u683c\u3092\u4e88\u6e2c\u3059\u308b - T-QARD Harbor<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/07\/21\/\u6a5f\u68b0\u5b66\u7fd2\u3067\u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u306e\u4f4f\u5b85\u4fa1\u683c\u3092\u4e88\u6e2c\u3059\u308b\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u6a5f\u68b0\u5b66\u7fd2\u3067\u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u306e\u4f4f\u5b85\u4fa1\u683c\u3092\u4e88\u6e2c\u3059\u308b - T-QARD Harbor\" \/>\n<meta property=\"og:description\" content=\"\u4eca\u56de\u306f, California House Price\u306e\u30c7\u30fc\u30bf\u5206\u6790\u3092, \u3044\u304f\u3064\u304b\u306e\u30e2\u30c7\u30eb\u3067\u884c\u3044\u307e\u3059.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/07\/21\/\u6a5f\u68b0\u5b66\u7fd2\u3067\u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u306e\u4f4f\u5b85\u4fa1\u683c\u3092\u4e88\u6e2c\u3059\u308b\/\" \/>\n<meta property=\"og:site_name\" content=\"T-QARD Harbor\" \/>\n<meta property=\"article:published_time\" content=\"2022-07-21T00:00:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/colab.research.google.com\/assets\/colab-badge.svg\" \/>\n<meta name=\"author\" content=\"Yumiko Tajiri\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Yumiko Tajiri\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"21\u5206\" \/>\n<script type=\"application\/ld+json\" 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