{"id":2971,"date":"2023-07-19T20:13:11","date_gmt":"2023-07-19T20:13:11","guid":{"rendered":"https:\/\/statorials.org\/uk\/r-%d1%83-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82%d1%96-%d0%b2-python\/"},"modified":"2023-07-19T20:13:11","modified_gmt":"2023-07-19T20:13:11","slug":"r-%d1%83-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82%d1%96-%d0%b2-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/r-%d1%83-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82%d1%96-%d0%b2-python\/","title":{"rendered":"\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 r-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0443 python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442<\/strong> , \u0447\u0430\u0441\u0442\u043e \u0437\u0430\u043f\u0438\u0441\u0443\u0432\u0430\u043d\u0438\u0439 <sup>\u044f\u043a R2<\/sup> , \u2014 \u0446\u0435 \u0447\u0430\u0441\u0442\u043a\u0430 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0456\u0457 \u0443 <a href=\"https:\/\/statorials.org\/uk\/\u0437\u043c\u0456\u043d\u043d\u0456-\u043f\u043e\u044f\u0441\u043d\u044e\u0432\u0430\u043b\u044c\u043d\u0456-\u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0437\u043c\u0456\u043d\u043d\u0456\u0439 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456<\/a> , \u044f\u043a\u0443 \u043c\u043e\u0436\u043d\u0430 \u043f\u043e\u044f\u0441\u043d\u0438\u0442\u0438 \u0437\u043c\u0456\u043d\u043d\u0438\u043c\u0438 \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0430\u043c\u0438 \u0432 <a href=\"https:\/\/statorials.org\/uk\/\u043c\u043d\u043e\u0436\u0438\u043d\u043d\u0430-\u043b\u0456\u043d\u0456\u0438\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u043c\u043e\u0434\u0435\u043b\u0456 \u043b\u0456\u043d\u0456\u0439\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457<\/a> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u043d\u0430\u0447\u0435\u043d\u043d\u044f R \u0443 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0456 \u043c\u043e\u0436\u0435 \u0432\u0430\u0440\u0456\u044e\u0432\u0430\u0442\u0438\u0441\u044f \u0432\u0456\u0434 0 \u0434\u043e 1, \u0434\u0435:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> \u043e\u0437\u043d\u0430\u0447\u0430\u0454, \u0449\u043e \u0437\u043c\u0456\u043d\u043d\u0430 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456 \u0432\u0437\u0430\u0433\u0430\u043b\u0456 \u043d\u0435 \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u043f\u043e\u044f\u0441\u043d\u0435\u043d\u0430 \u0437\u043c\u0456\u043d\u043d\u043e\u044e \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0430.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> \u0432\u043a\u0430\u0437\u0443\u0454 \u043d\u0430 \u0442\u0435, \u0449\u043e \u0437\u043c\u0456\u043d\u043d\u0430 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456 \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u0456\u0434\u0435\u0430\u043b\u044c\u043d\u043e \u043f\u043e\u044f\u0441\u043d\u0435\u043d\u0430 \u0431\u0435\u0437\u043f\u043e\u043c\u0438\u043b\u043a\u043e\u0432\u043e \u0437\u043c\u0456\u043d\u043d\u0438\u043c\u0438 \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0430\u043c\u0438.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 R <sup>2<\/sup> \u0434\u043b\u044f \u043c\u043e\u0434\u0435\u043b\u0456 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u0440\u043e\u0437\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0443 Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u0443 \u043d\u0430\u0441 \u0454 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 pandas DataFrame:<\/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;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>LinearRegression()<\/strong> <a href=\"https:\/\/scikit-learn.org\/stable\/\" target=\"_blank\" rel=\"noopener\">sklearn<\/a> , \u0449\u043e\u0431 \u043f\u0456\u0434\u0456\u0431\u0440\u0430\u0442\u0438 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0443 \u043c\u043e\u0434\u0435\u043b\u044c, \u0456 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>score()<\/strong> , \u0449\u043e\u0431 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u043c\u043e\u0434\u0435\u043b\u0456:<\/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;\">R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u043c\u043e\u0434\u0435\u043b\u0456 \u0432\u0438\u044f\u0432\u043b\u044f\u0454\u0442\u044c\u0441\u044f \u0440\u0456\u0432\u043d\u0438\u043c <strong>0,7176<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0426\u0435 \u043e\u0437\u043d\u0430\u0447\u0430\u0454, \u0449\u043e <strong>71,76%<\/strong> \u0432\u0430\u0440\u0456\u0430\u0446\u0456\u0457 \u043e\u0446\u0456\u043d\u043e\u043a \u0437\u0430 \u0456\u0441\u043f\u0438\u0442 \u043c\u043e\u0436\u043d\u0430 \u043f\u043e\u044f\u0441\u043d\u0438\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044e \u0432\u0438\u0432\u0447\u0435\u043d\u0438\u0445 \u0433\u043e\u0434\u0438\u043d \u0456 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044e \u0441\u043a\u043b\u0430\u0434\u0435\u043d\u0438\u0445 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0445 \u0456\u0441\u043f\u0438\u0442\u0456\u0432.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u042f\u043a\u0431\u0438 \u043c\u0438 \u0445\u043e\u0442\u0456\u043b\u0438, \u043c\u0438 \u043c\u043e\u0433\u043b\u0438 \u0431 \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u0442\u0438 \u0446\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0437 \u0456\u043d\u0448\u043e\u044e \u043c\u043e\u0434\u0435\u043b\u043b\u044e \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0437 \u0456\u043d\u0448\u0438\u043c \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0437\u043c\u0456\u043d\u043d\u0438\u0445 \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0430.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0433\u0430\u043b\u043e\u043c \u043f\u0435\u0440\u0435\u0432\u0430\u0433\u0443 \u043d\u0430\u0434\u0430\u044e\u0442\u044c \u043c\u043e\u0434\u0435\u043b\u044f\u043c \u0456\u0437 \u0432\u0438\u0449\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c\u0438 R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442, \u043e\u0441\u043a\u0456\u043b\u044c\u043a\u0438 \u0446\u0435 \u043e\u0437\u043d\u0430\u0447\u0430\u0454, \u0449\u043e \u043d\u0430\u0431\u0456\u0440 \u0437\u043c\u0456\u043d\u043d\u0438\u0445 \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0456\u0432 \u0443 \u043c\u043e\u0434\u0435\u043b\u0456 \u0437\u0434\u0430\u0442\u043d\u0438\u0439 \u0434\u043e\u0431\u0440\u0435 \u043f\u043e\u044f\u0441\u043d\u0438\u0442\u0438 \u0432\u0430\u0440\u0456\u0430\u0446\u0456\u044e \u0437\u043c\u0456\u043d\u043d\u043e\u0457 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0417\u0430 \u0442\u0435\u043c\u043e\u044e:<\/strong> <a href=\"https:\/\/statorials.org\/uk\/\u0445\u043e\u0440\u043e\u0448\u0435-\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f-r-\u0443-\u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0456\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0449\u043e \u0442\u0430\u043a\u0435 \u0445\u043e\u0440\u043e\u0448\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442?<\/a><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 \u0432 Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0440\u043e\u0441\u0442\u0430-\u043b\u0456\u043d\u0456\u0438\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-\u0432-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u042f\u043a \u0432\u0438\u043a\u043e\u043d\u0430\u0442\u0438 \u043f\u0440\u043e\u0441\u0442\u0443 \u043b\u0456\u043d\u0456\u0439\u043d\u0443 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044e \u0432 Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043b\u0456\u043d\u0456\u0438\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u042f\u043a \u0432\u0438\u043a\u043e\u043d\u0430\u0442\u0438 \u043c\u043d\u043e\u0436\u0438\u043d\u043d\u0443 \u043b\u0456\u043d\u0456\u0439\u043d\u0443 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044e \u0432 Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/aic-\u043d\u0430-python\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0440\u043e\u0437\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 AIC \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0443 Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 , \u0447\u0430\u0441\u0442\u043e \u0437\u0430\u043f\u0438\u0441\u0443\u0432\u0430\u043d\u0438\u0439 \u044f\u043a R2 , \u2014 \u0446\u0435 \u0447\u0430\u0441\u0442\u043a\u0430 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0456\u0457 \u0443 \u0437\u043c\u0456\u043d\u043d\u0456\u0439 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456 , \u044f\u043a\u0443 \u043c\u043e\u0436\u043d\u0430 \u043f\u043e\u044f\u0441\u043d\u0438\u0442\u0438 \u0437\u043c\u0456\u043d\u043d\u0438\u043c\u0438 \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0430\u043c\u0438 \u0432 \u043c\u043e\u0434\u0435\u043b\u0456 \u043b\u0456\u043d\u0456\u0439\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 . \u0417\u043d\u0430\u0447\u0435\u043d\u043d\u044f R \u0443 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0456 \u043c\u043e\u0436\u0435 \u0432\u0430\u0440\u0456\u044e\u0432\u0430\u0442\u0438\u0441\u044f \u0432\u0456\u0434 0 \u0434\u043e 1, \u0434\u0435: 0 \u043e\u0437\u043d\u0430\u0447\u0430\u0454, \u0449\u043e \u0437\u043c\u0456\u043d\u043d\u0430 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456 \u0432\u0437\u0430\u0433\u0430\u043b\u0456 \u043d\u0435 \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u043f\u043e\u044f\u0441\u043d\u0435\u043d\u0430 \u0437\u043c\u0456\u043d\u043d\u043e\u044e \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0430. 1 \u0432\u043a\u0430\u0437\u0443\u0454 \u043d\u0430 \u0442\u0435, \u0449\u043e \u0437\u043c\u0456\u043d\u043d\u0430 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