{"id":782,"date":"2023-12-09T23:51:25","date_gmt":"2023-12-08T06:29:09","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/index.php\/2023\/11\/30\/r%e3%82%b9%e3%82%af%e3%82%a8%e3%82%a2%e3%81%a8%e3%81%af%e3%80%81r%e3%81%a7r2%e3%82%92%e8%a8%88%e7%ae%97%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%ab%e3%81%a4%e3%81%84%e3%81%a6%e3%81%af%e3%81%a9\/"},"modified":"2025-08-01T02:26:21","modified_gmt":"2025-07-31T17:26:21","slug":"r%e3%82%b9%e3%82%af%e3%82%a8%e3%82%a2%e3%81%a8%e3%81%af%e3%80%81r%e3%81%a7r2%e3%82%92%e8%a8%88%e7%ae%97%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%ab%e3%81%a4%e3%81%84%e3%81%a6%e3%81%af%e3%81%a9","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/r%e3%82%b9%e3%82%af%e3%82%a8%e3%82%a2%e3%81%a8%e3%81%af%e3%80%81r%e3%81%a7r2%e3%82%92%e8%a8%88%e7%ae%97%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%ab%e3%81%a4%e3%81%84%e3%81%a6%e3%81%af%e3%81%a9\/","title":{"rendered":"R\u30b9\u30af\u30a8\u30a2\u3068\u306f\u3001R\u3067R2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u3069\u306e\u3088\u3046\u306b\u8a08\u7b97\u3059\u308b\u306e\u3067\u3057\u3087\u3046\u304b\uff1f"},"content":{"rendered":"<p>\u3053\u3093\u306b\u3061\u306f\u3001\u8aad\u8005\u306e\u7686\u3055\u3093\uff01\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u91cd\u8981\u306a\u30b3\u30f3\u30bb\u30d7\u30c8\u3067\u3042\u308bR2\uff08R\u30b9\u30af\u30a8\u30a2\uff09\u306b\u3064\u3044\u3066\u3001R\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3067\u89e3\u8aac\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n<p>\u3067\u306f\u3001\u59cb\u3081\u307e\u3057\u3087\u3046\uff01<\/p>\n<hr \/>\n<h2>R squared error metric\u306e\u91cd\u8981\u6027<\/h2>\n<p>\u6700\u521d\u306b\u3001\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3068\u6a5f\u68b0\u5b66\u7fd2\u306e\u9818\u57df\u3067\u30a8\u30e9\u30fc\u30e1\u30c8\u30ea\u30af\u30b9\u306e\u91cd\u8981\u6027\u3092\u7406\u89e3\u3057\u307e\u3057\u3087\u3046\uff01(\u6700\u521d\u306b\u3001\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3068\u6a5f\u68b0\u5b66\u7fd2\u306e\u9818\u57df\u306b\u304a\u3051\u308b\u30a8\u30e9\u30fc\u30e1\u30c8\u30ea\u30af\u30b9\u306e\u91cd\u8981\u6027\u3092\u7406\u89e3\u3057\u307e\u3057\u3087\u3046\uff01\u300d)<\/p>\n<p>\u30a8\u30e9\u30fc\u30e1\u30c8\u30ea\u30af\u30b9\u306f\u3001\u7279\u5b9a\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u4e0a\u3067\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30af\u30e9\u30b9\u306b\u3088\u3063\u3066\u7570\u306a\u308b\u30a8\u30e9\u30fc\u30e1\u30c8\u30ea\u30c3\u30af\u30e2\u30c7\u30eb\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u5206\u985e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u6271\u3044\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u3001\u79c1\u305f\u3061\u306f\u6df7\u540c\u884c\u5217\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u4e00\u65b9\u3001R\u30b9\u30af\u30a6\u30a7\u30a2\u306f\u56de\u5e30\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u4e88\u6e2c\u3092\u8a55\u4fa1\u3059\u308b\u91cd\u8981\u306a\u30a8\u30e9\u30fc\u30e1\u30c8\u30ea\u30c3\u30af\u3067\u3059\u3002<\/p>\n<p>R2 (R\u4e8c\u4e57)\u306f\u3001\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u3092\u6b63\u5f53\u5316\u3059\u308b\u56de\u5e30\u8aa4\u5dee\u306e\u6307\u6a19\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u72ec\u7acb\u5909\u6570\u304c\u5fdc\u7b54\/\u76ee\u6a19\u5909\u6570\u306e\u5024\u3092\u3069\u308c\u3060\u3051\u8aac\u660e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u304b\u3092\u793a\u3059\u5024\u3092\u8868\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3057\u305f\u304c\u3063\u3066\u3001R\u4e8c\u4e57\u30e2\u30c7\u30eb\u306f\u3001\u72ec\u7acb\u5909\u6570\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u3063\u3066\u76ee\u7684\u5909\u6570\u304c\u3069\u308c\u304f\u3089\u3044\u8aac\u660e\u3055\u308c\u308b\u304b\u3092\u4e00\u3064\u306e\u5358\u4f4d\u3068\u3057\u3066\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>R\u4e8c\u4e57\u5024\u306f0\u304b\u30891\u307e\u3067\u306e\u7bc4\u56f2\u3067\u3042\u308a\u3001\u4ee5\u4e0b\u306e\u5f0f\u3067\u8868\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>R2 = 1 &#8211; (SSres \/ SStot)<br \/>\nR2 = 1 &#8211; (\u6b8b\u5dee\u5e73\u65b9\u548c \/ \u5168\u5909\u52d5\u5e73\u65b9\u548c)<\/p>\n<p>\u3053\u3053\u3067<\/p>\n<ul class=\"post-ul\">\n<li>SSres: The sum of squares of the residual errors.<\/li>\n<li>SStot: It represents the total sum of the errors.<\/li>\n<\/ul>\n<p>\u5e38\u306b\u899a\u3048\u3066\u304a\u304f\u3079\u304d\u3067\u3059\u3002\u6c7a\u5b9a\u4fc2\u6570\uff08R\u30b9\u30af\u30a8\u30a2\u5024\uff09\u304c\u9ad8\u3051\u308c\u3070\u9ad8\u3044\u307b\u3069\u3001\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u306f\u826f\u304f\u306a\u308a\u307e\u3059\uff01<\/p>\n<hr \/>\n<h2>I. \u7dda\u5f62\u56de\u5e30\u306b\u3088\u308bR\u3067\u306eR\u4e8c\u4e57<\/h2>\n<p>\u3053\u306e\u4f8b\u3067\u306f\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u306bR\u4e8c\u4e57\u8aa4\u5dee\u30e1\u30c8\u30ea\u30c3\u30af\u306e\u6982\u5ff5\u3092\u5b9f\u88c5\u3057\u307e\u3057\u305f\u3002<\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\u6700\u521d\u306b\u3001read.csv()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8aad\u307f\u8fbc\u307f\u307e\u3059\u3002<\/ol>\n<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u306f\u3001createDataPartition()\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5206\u5272\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/ol>\n<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u524d\u306b\u3001\u4ee5\u4e0b\u306e\u4f8b\u3067\u6307\u5b9a\u3057\u305f\u30a8\u30e9\u30fc\u30e1\u30c8\u30ea\u30af\u30b9\u306e\u30ab\u30b9\u30bf\u30e0\u95a2\u6570\u3092\u6307\u5b9a\u3057\u307e\u3057\u305f\u3002<\/ol>\n<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ol>\u6700\u5f8c\u306e\u30b9\u30c6\u30c3\u30d7\u306f\u3001lm()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u9069\u7528\u3057\u3001\u305d\u306e\u5f8c\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u30e6\u30fc\u30b6\u30fc\u5b9a\u7fa9\u306eR\u30b9\u30af\u30a8\u30a2\u95a2\u6570\u3092\u547c\u3073\u51fa\u3057\u307e\u3057\u305f\u3002<\/ol>\n<p>\u4f8b\u3048\u3070\uff1a<\/p>\n<p>\u65e5\u672c\u306b\u306f\u7f8e\u3057\u3044\u98a8\u666f\u304c\u305f\u304f\u3055\u3093\u3042\u308a\u307e\u3059\u3002 (There are many beautiful landscapes in Japan.)<\/p>\n<pre class=\"post-pre\"><code><span class=\"token comment\">#Removed all the existing objects<\/span>\r\nrm<span class=\"token punctuation\">(<\/span>list <span class=\"token operator\">=<\/span> ls<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span>\r\n<span class=\"token comment\">#Setting the working directory<\/span>\r\nsetwd<span class=\"token punctuation\">(<\/span><span class=\"token string\">\"D:\/Ediwsor_Project - Bike_Rental_Count\/\"<\/span><span class=\"token punctuation\">)<\/span>\r\ngetwd<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>\r\n\r\n<span class=\"token comment\">#Load the dataset<\/span>\r\nbike_data <span class=\"token operator\">=<\/span> read.csv<span class=\"token punctuation\">(<\/span><span class=\"token string\">\"day.csv\"<\/span><span class=\"token punctuation\">,<\/span>header<span class=\"token operator\">=<\/span><span class=\"token boolean\">TRUE<\/span><span class=\"token punctuation\">)<\/span>\r\n\r\n<span class=\"token comment\">### SAMPLING OF DATA -- Splitting of Data columns into Training and Test dataset ###<\/span>\r\ncategorical_col_updated <span class=\"token operator\">=<\/span> c<span class=\"token punctuation\">(<\/span><span class=\"token string\">'season'<\/span><span class=\"token punctuation\">,<\/span><span class=\"token string\">'yr'<\/span><span class=\"token punctuation\">,<\/span><span class=\"token string\">'mnth'<\/span><span class=\"token punctuation\">,<\/span><span class=\"token string\">'weathersit'<\/span><span class=\"token punctuation\">,<\/span><span class=\"token string\">'holiday'<\/span><span class=\"token punctuation\">)<\/span>\r\nlibrary<span class=\"token punctuation\">(<\/span>dummies<span class=\"token punctuation\">)<\/span>\r\nbike <span class=\"token operator\">=<\/span> bike_data\r\nbike <span class=\"token operator\">=<\/span> dummy.data.frame<span class=\"token punctuation\">(<\/span>bike<span class=\"token punctuation\">,<\/span>categorical_col_updated<span class=\"token punctuation\">)<\/span>\r\ndim<span class=\"token punctuation\">(<\/span>bike<span class=\"token punctuation\">)<\/span>\r\n\r\n<span class=\"token comment\">#Separating the depenedent and independent data variables into two dataframes.<\/span>\r\nlibrary<span class=\"token punctuation\">(<\/span>caret<span class=\"token punctuation\">)<\/span>\r\nset.seed<span class=\"token punctuation\">(<\/span><span class=\"token number\">101<\/span><span class=\"token punctuation\">)<\/span>\r\nsplit_val <span class=\"token operator\">=<\/span> createDataPartition<span class=\"token punctuation\">(<\/span>bike<span class=\"token operator\">$<\/span>cnt<span class=\"token punctuation\">,<\/span> p <span class=\"token operator\">=<\/span> <span class=\"token number\">0.80<\/span><span class=\"token punctuation\">,<\/span> list <span class=\"token operator\">=<\/span> <span class=\"token boolean\">FALSE<\/span><span class=\"token punctuation\">)<\/span> \r\ntrain_data <span class=\"token operator\">=<\/span> bike<span class=\"token punctuation\">[<\/span>split_val<span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">]<\/span>\r\ntest_data <span class=\"token operator\">=<\/span> bike<span class=\"token punctuation\">[<\/span><span class=\"token operator\">-<\/span>split_val<span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">]<\/span>\r\n\r\n<span class=\"token comment\">### MODELLING OF DATA USING MACHINE LEARNING ALGORITHMS ###<\/span>\r\n<span class=\"token comment\">#Defining error metrics to check the error rate and accuracy of the Regression ML algorithms<\/span>\r\n\r\n<span class=\"token comment\">#1. MEAN ABSOLUTE PERCENTAGE ERROR (MAPE)<\/span>\r\nMAPE <span class=\"token operator\">=<\/span> <span class=\"token keyword\">function<\/span><span class=\"token punctuation\">(<\/span>y_actual<span class=\"token punctuation\">,<\/span>y_predict<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">{<\/span>\r\n  mean<span class=\"token punctuation\">(<\/span>abs<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">(<\/span>y_actual<span class=\"token operator\">-<\/span>y_predict<span class=\"token punctuation\">)<\/span><span class=\"token operator\">\/<\/span>y_actual<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token operator\">*<\/span><span class=\"token number\">100<\/span>\r\n<span class=\"token punctuation\">}<\/span>\r\n\r\n<span class=\"token comment\">#2. R SQUARED error metric -- Coefficient of Determination<\/span>\r\nRSQUARE <span class=\"token operator\">=<\/span> <span class=\"token keyword\">function<\/span><span class=\"token punctuation\">(<\/span>y_actual<span class=\"token punctuation\">,<\/span>y_predict<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">{<\/span>\r\n  cor<span class=\"token punctuation\">(<\/span>y_actual<span class=\"token punctuation\">,<\/span>y_predict<span class=\"token punctuation\">)<\/span><span class=\"token operator\">^<\/span><span class=\"token number\">2<\/span>\r\n<span class=\"token punctuation\">}<\/span>\r\n\r\n<span class=\"token comment\">##MODEL 1: LINEAR REGRESSION<\/span>\r\nlinear_model <span class=\"token operator\">=<\/span> lm<span class=\"token punctuation\">(<\/span>cnt<span class=\"token operator\">~<\/span>.<span class=\"token punctuation\">,<\/span> train_data<span class=\"token punctuation\">)<\/span> <span class=\"token comment\">#Building the Linear Regression Model on our dataset<\/span>\r\nsummary<span class=\"token punctuation\">(<\/span>linear_model<span class=\"token punctuation\">)<\/span>\r\nlinear_predict<span class=\"token operator\">=<\/span>predict<span class=\"token punctuation\">(<\/span>linear_model<span class=\"token punctuation\">,<\/span>test_data<span class=\"token punctuation\">[<\/span><span class=\"token operator\">-<\/span><span class=\"token number\">27<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token comment\">#Predictions on Testing data<\/span>\r\n\r\nLR_MAPE <span class=\"token operator\">=<\/span> MAPE<span class=\"token punctuation\">(<\/span>test_data<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">27<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span>linear_predict<span class=\"token punctuation\">)<\/span> <span class=\"token comment\"># Using MAPE error metrics to check for the error rate and accuracy level<\/span>\r\nLR_R <span class=\"token operator\">=<\/span> RSQUARE<span class=\"token punctuation\">(<\/span>test_data<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">27<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span>linear_predict<span class=\"token punctuation\">)<\/span> <span class=\"token comment\"># Using R-SQUARE error metrics to check for the error rate and accuracy level<\/span>\r\nAccuracy_Linear <span class=\"token operator\">=<\/span> <span class=\"token number\">100<\/span> <span class=\"token operator\">-<\/span> LR_MAPE\r\n\r\nprint<span class=\"token punctuation\">(<\/span><span class=\"token string\">\"MAPE: \"<\/span><span class=\"token punctuation\">)<\/span>\r\nprint<span class=\"token punctuation\">(<\/span>LR_MAPE<span class=\"token punctuation\">)<\/span>\r\nprint<span class=\"token punctuation\">(<\/span><span class=\"token string\">\"R-Square: \"<\/span><span class=\"token punctuation\">)<\/span>\r\nprint<span class=\"token punctuation\">(<\/span>LR_R<span class=\"token punctuation\">)<\/span>\r\nprint<span class=\"token punctuation\">(<\/span><span class=\"token string\">'Accuracy of Linear Regression: '<\/span><span class=\"token punctuation\">)<\/span>\r\nprint<span class=\"token punctuation\">(<\/span>Accuracy_Linear<span class=\"token punctuation\">)<\/span>\r\n\r\n<\/code><\/pre>\n<p>\u51fa\u529b\uff1a<\/p>\n<p>\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3001R\u30b9\u30af\u30a8\u30a2\u5024\u306f0.82\u3067\u3042\u308a\u3001\u3064\u307e\u308a\u3001\u30e2\u30c7\u30eb\u306f\u79c1\u305f\u3061\u306e\u30c7\u30fc\u30bf\u306b\u3046\u307e\u304f\u9069\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"token operator\">&gt;<\/span> print<span class=\"token punctuation\">(<\/span><span class=\"token string\">\"MAPE: \"<\/span><span class=\"token punctuation\">)<\/span>\r\n<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token string\">\"MAPE: \"<\/span>\r\n<span class=\"token operator\">&gt;<\/span> print<span class=\"token punctuation\">(<\/span>LR_MAPE<span class=\"token punctuation\">)<\/span>\r\n<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token number\">17.61674<\/span>\r\n<span class=\"token operator\">&gt;<\/span> print<span class=\"token punctuation\">(<\/span><span class=\"token string\">\"R-Square: \"<\/span><span class=\"token punctuation\">)<\/span>\r\n<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token string\">\"R-Square: \"<\/span>\r\n<span class=\"token operator\">&gt;<\/span> print<span class=\"token punctuation\">(<\/span>LR_R<span class=\"token punctuation\">)<\/span>\r\n<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token number\">0.8278258<\/span>\r\n<span class=\"token operator\">&gt;<\/span> print<span class=\"token punctuation\">(<\/span><span class=\"token string\">'Accuracy of Linear Regression: '<\/span><span class=\"token punctuation\">)<\/span>\r\n<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token string\">\"Accuracy of Linear Regression: \"<\/span>\r\n<span class=\"token operator\">&gt;<\/span> print<span class=\"token punctuation\">(<\/span>Accuracy_Linear<span class=\"token punctuation\">)<\/span>\r\n<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token number\">82.38326<\/span>\r\n<\/code><\/pre>\n<hr \/>\n<h2>II. summary()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u305fR\u5e73\u65b9\u5024<\/h2>\n<p>\u79c1\u305f\u3061\u306f\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u5f8c\u306b\u3001R\u306esummary\uff08\uff09\u95a2\u6570\u3092\u4f7f\u3063\u3066R\u5e73\u65b9\u5024\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u3055\u3048\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u4ee5\u4e0b\u306e\u4f8b\u3067\u306f\u3001\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u5bfe\u3057\u3066\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u9069\u7528\u3057\u3001\u305d\u306e\u5f8c\u3001summary()$r.squared \u3092\u4f7f\u7528\u3057\u3066r\u4e8c\u4e57\u5024\u3092\u53d6\u5f97\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>&#8220;The cat is sleeping on the sofa.&#8221;<\/p>\n<p>\u4f8b\u3048\u3070\uff1a\u732b\u304c\u30bd\u30d5\u30a1\u3067\u5bdd\u3066\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"post-pre\"><code>rm<span class=\"token punctuation\">(<\/span>list <span class=\"token operator\">=<\/span> ls<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span>\r\n \r\nA <span class=\"token operator\">&lt;-<\/span> c<span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">4<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">4<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span> \r\nB <span class=\"token operator\">&lt;-<\/span> c<span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">4<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">4<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span> \r\na <span class=\"token operator\">&lt;-<\/span> c<span class=\"token punctuation\">(<\/span><span class=\"token number\">10<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">20<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">30<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">40<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">50<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">60<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">70<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">80<\/span><span class=\"token punctuation\">)<\/span> \r\nb <span class=\"token operator\">&lt;-<\/span> c<span class=\"token punctuation\">(<\/span><span class=\"token number\">100<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">200<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">300<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">400<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">500<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">600<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">700<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">800<\/span><span class=\"token punctuation\">)<\/span> \r\ndata <span class=\"token operator\">&lt;-<\/span> data.frame<span class=\"token punctuation\">(<\/span>A<span class=\"token punctuation\">,<\/span>B<span class=\"token punctuation\">,<\/span>a<span class=\"token punctuation\">,<\/span>b<span class=\"token punctuation\">)<\/span> \r\n\r\nprint<span class=\"token punctuation\">(<\/span><span class=\"token string\">\"Original data frame:\\n\"<\/span><span class=\"token punctuation\">)<\/span> \r\nprint<span class=\"token punctuation\">(<\/span>data<span class=\"token punctuation\">)<\/span> \r\n\r\nml <span class=\"token operator\">=<\/span> lm<span class=\"token punctuation\">(<\/span>A<span class=\"token operator\">~<\/span>a<span class=\"token punctuation\">,<\/span> data <span class=\"token operator\">=<\/span> data<span class=\"token punctuation\">)<\/span> \r\n\r\n<span class=\"token comment\"># Extracting R-squared parameter from summary <\/span>\r\nsummary<span class=\"token punctuation\">(<\/span>ml<span class=\"token punctuation\">)<\/span><span class=\"token operator\">$<\/span>r.squared \r\n   \r\n<\/code><\/pre>\n<p>\u51fa\u529b\u3059\u308b<\/p>\n<pre class=\"post-pre\"><code><span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token string\">\"Original data frame:\\n\"<\/span>\r\n  A B  a   b\r\n<span class=\"token number\">1<\/span> <span class=\"token number\">1<\/span> <span class=\"token number\">1<\/span> <span class=\"token number\">10<\/span> <span class=\"token number\">100<\/span>\r\n<span class=\"token number\">2<\/span> <span class=\"token number\">2<\/span> <span class=\"token number\">2<\/span> <span class=\"token number\">20<\/span> <span class=\"token number\">200<\/span>\r\n<span class=\"token number\">3<\/span> <span class=\"token number\">3<\/span> <span class=\"token number\">3<\/span> <span class=\"token number\">30<\/span> <span class=\"token number\">300<\/span>\r\n<span class=\"token number\">4<\/span> <span class=\"token number\">4<\/span> <span class=\"token number\">4<\/span> <span class=\"token number\">40<\/span> <span class=\"token number\">400<\/span>\r\n<span class=\"token number\">5<\/span> <span class=\"token number\">2<\/span> <span class=\"token number\">2<\/span> <span class=\"token number\">50<\/span> <span class=\"token number\">500<\/span>\r\n<span class=\"token number\">6<\/span> <span class=\"token number\">3<\/span> <span class=\"token number\">3<\/span> <span class=\"token number\">60<\/span> <span class=\"token number\">600<\/span>\r\n<span class=\"token number\">7<\/span> <span class=\"token number\">4<\/span> <span class=\"token number\">4<\/span> <span class=\"token number\">70<\/span> <span class=\"token number\">700<\/span>\r\n<span class=\"token number\">8<\/span> <span class=\"token number\">1<\/span> <span class=\"token number\">1<\/span> <span class=\"token number\">80<\/span> <span class=\"token number\">800<\/span>\r\n\r\n<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token number\">0.03809524<\/span>\r\n<\/code><\/pre>\n<hr \/>\n<h2>\u7d50\u8ad6<\/h2>\n<p>\u3053\u308c\u306b\u3088\u308a\u3001\u3053\u306e\u30c8\u30d4\u30c3\u30af\u306f\u7d42\u308f\u308a\u307e\u3057\u305f\u3002\u3082\u3057\u4f55\u304b\u8cea\u554f\u304c\u3042\u308c\u3070\u3001\u30b3\u30e1\u30f3\u30c8\u6b04\u306b\u81ea\u7531\u306b\u66f8\u304d\u8fbc\u3093\u3067\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u305d\u308c\u307e\u3067\u3001\u52c9\u5f37\u3092\u697d\u3057\u3093\u3067\u304f\u3060\u3055\u3044\uff01:)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u3053\u3093\u306b\u3061\u306f\u3001\u8aad\u8005\u306e\u7686\u3055\u3093\uff01\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u91cd\u8981\u306a\u30b3\u30f3\u30bb\u30d7\u30c8\u3067\u3042\u308bR2\uff08R\u30b9\u30af\u30a8\u30a2\uff09\u306b\u3064\u3044\u3066\u3001R\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3067\u89e3\u8aac\u3057\u3066\u3044\u304d\u307e\u3059\u3002 \u3067\u306f\u3001\u59cb\u3081\u307e\u3057\u3087\u3046\uff01 R squared error metric\u306e\u91cd\u8981\u6027 \u6700\u521d\u306b [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[26,61],"class_list":["post-782","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-26","tag-61"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R\u30b9\u30af\u30a8\u30a2\u3068\u306f\u3001R\u3067R2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u3069\u306e\u3088\u3046\u306b\u8a08\u7b97\u3059\u308b\u306e\u3067\u3057\u3087\u3046\u304b\uff1f - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" 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