{"id":2970,"date":"2023-07-19T20:13:11","date_gmt":"2023-07-19T20:13:11","guid":{"rendered":"https:\/\/statorials.org\/ja\/python%e3%81%aer%e4%ba%8c%e4%b9%97\/"},"modified":"2023-07-19T20:13:11","modified_gmt":"2023-07-19T20:13:11","slug":"python%e3%81%aer%e4%ba%8c%e4%b9%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python%e3%81%aer%e4%ba%8c%e4%b9%97\/","title":{"rendered":"Python \u3067 r \u4e8c\u4e57\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>R2 \u306f<\/strong>\u3001\u591a\u304f\u306e\u5834\u5408<sup>R2<\/sup>\u3068\u66f8\u304b\u308c\u3001<a href=\"https:\/\/statorials.org\/ja\/\u91cd\u7dda\u5f62\u56de\u5e30\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb<\/a>\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u306b\u3088\u3063\u3066\u8aac\u660e\u3067\u304d\u308b<a href=\"https:\/\/statorials.org\/ja\/\u5909\u6570\u306e\u8aac\u660e\u5fdc\u7b54\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5fdc\u7b54\u5909\u6570<\/a>\u306e\u5206\u6563\u306e\u5272\u5408\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">R \u4e8c\u4e57\u306e\u5024\u306f 0 \u304b\u3089 1 \u307e\u3067\u5909\u5316\u3057\u307e\u3059\u3002\u3053\u3053\u3067\u3001<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0 \u306f<\/strong>\u3001\u5fdc\u7b54\u5909\u6570\u304c\u4e88\u6e2c\u5909\u6570\u306b\u3088\u3063\u3066\u307e\u3063\u305f\u304f\u8aac\u660e\u3067\u304d\u306a\u3044\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1 \u306f<\/strong>\u3001\u5fdc\u7b54\u5909\u6570\u304c\u4e88\u6e2c\u5909\u6570\u306b\u3088\u3063\u3066\u8aa4\u5dee\u306a\u304f\u5b8c\u5168\u306b\u8aac\u660e\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001Python \u3067\u56de\u5e30\u30e2\u30c7\u30eb\u306e R <sup>2<\/sup>\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Python \u3067 R \u4e8c\u4e57\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">hours<\/span> ': [1, 2, 2, 4, 2, 1, 5, 4, 2, 4, 4, 3, 6],\n                   ' <span style=\"color: #ff0000;\">prep_exams<\/span> ': [1, 3, 3, 5, 2, 2, 1, 1, 0, 3, 4, 3, 2],\n                   ' <span style=\"color: #ff0000;\">score<\/span> ': [76, 78, 85, 88, 72, 69, 94, 94, 88, 92, 90, 75, 96]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    hours prep_exams score\n0 1 1 76\n1 2 3 78\n2 2 3 85\n3 4 5 88\n4 2 2 72\n5 1 2 69\n6 5 1 94\n7 4 1 94\n8 2 0 88\n9 4 3 92\n10 4 4 90\n11 3 3 75\n12 6 2 96\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><a href=\"https:\/\/scikit-learn.org\/stable\/\" target=\"_blank\" rel=\"noopener\">sklearn<\/a>\u306e<strong>LinearRegression()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u8fd1\u4f3c\u3057\u3001 <strong>score()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u30e2\u30c7\u30eb\u306e R \u4e8c\u4e57\u5024\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">from<\/span> sklearn.linear_model <span style=\"color: #008000;\">import<\/span> LinearRegression\n\n<span style=\"color: #008080;\">#initiate linear regression model\n<\/span>model = LinearRegression()\n\n<span style=\"color: #008080;\">#define predictor and response variables\n<\/span>x, y = df[[\" <span style=\"color: #ff0000;\">hours<\/span> \", \" <span style=\"color: #ff0000;\">prep_exams<\/span> \"]], df. <span style=\"color: #3366ff;\">score<\/span>\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model. <span style=\"color: #3366ff;\">fit<\/span> (x,y)\n\n<span style=\"color: #008080;\">#calculate R-squared of regression model\n<\/span>r_squared = model. <span style=\"color: #3366ff;\">score<\/span> (x,y)\n\n<span style=\"color: #008080;\">#view R-squared value\n<\/span><span style=\"color: #008000;\">print<\/span> (r_squared)\n\n0.7175541714105901\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30e2\u30c7\u30eb\u306e R \u4e8c\u4e57\u306f<strong>0.7176<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u8a66\u9a13\u306e\u5f97\u70b9\u306e\u3070\u3089\u3064\u304d\u306e<strong>71.76%<\/strong>\u304c\u3001\u52c9\u5f37\u6642\u9593\u3068\u53d7\u3051\u305f\u6a21\u64ec\u8a66\u9a13\u306e\u6570\u306b\u3088\u3063\u3066\u8aac\u660e\u3067\u304d\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u3001\u3053\u306e R \u4e8c\u4e57\u5024\u3092\u3001\u7570\u306a\u308b\u4e88\u6e2c\u5909\u6570\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u305f\u5225\u306e\u56de\u5e30\u30e2\u30c7\u30eb\u3068\u6bd4\u8f03\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e00\u822c\u306b\u3001\u30e2\u30c7\u30eb\u5185\u306e\u4e88\u6e2c\u5909\u6570\u306e\u30bb\u30c3\u30c8\u304c\u5fdc\u7b54\u5909\u6570\u306e\u5909\u52d5\u3092\u3046\u307e\u304f\u8aac\u660e\u3067\u304d\u308b\u3053\u3068\u3092\u610f\u5473\u3059\u308b\u305f\u3081\u3001R \u4e8c\u4e57\u5024\u304c\u9ad8\u3044\u30e2\u30c7\u30eb\u304c\u597d\u307e\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u95a2\u9023:<\/strong> <a href=\"https:\/\/statorials.org\/ja\/\u826f\u597d\u306ar\u4e8c\u4e57\u5024\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u9069\u5207\u306a R \u4e8c\u4e57\u5024\u3068\u306f\u4f55\u3067\u3059\u304b?<\/a><\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/python\u3066\u3099\u306e\u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\/\" target=\"_blank\" rel=\"noopener noreferrer\">Python \u3067\u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u7dda\u5f62\u56de\u5e30python\/\" target=\"_blank\" rel=\"noopener noreferrer\">Python \u3067\u91cd\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/python\u306eaic\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u56de\u5e30\u30e2\u30c7\u30eb\u306e AIC \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R2 \u306f\u3001\u591a\u304f\u306e\u5834\u5408R2\u3068\u66f8\u304b\u308c\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u306b\u3088\u3063\u3066\u8aac\u660e\u3067\u304d\u308b\u5fdc\u7b54\u5909\u6570\u306e\u5206\u6563\u306e\u5272\u5408\u3067\u3059\u3002 R \u4e8c\u4e57\u306e\u5024\u306f 0 \u304b\u3089 1 \u307e\u3067\u5909\u5316\u3057\u307e\u3059\u3002\u3053\u3053\u3067\u3001 0 \u306f\u3001\u5fdc\u7b54\u5909\u6570\u304c\u4e88\u6e2c\u5909\u6570\u306b\u3088\u3063\u3066\u307e\u3063\u305f\u304f\u8aac\u660e\u3067\u304d\u306a\u3044\u3053\u3068 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-2970","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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