{"id":1211,"date":"2023-07-27T06:34:51","date_gmt":"2023-07-27T06:34:51","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d1%81%d0%bf%d0%bb%d0%b0%d0%b8%d0%bd%d0%b8-%d0%b1%d0%b0%d0%b3%d0%b0%d1%82%d0%be%d0%b2%d0%b8%d0%bc%d1%96%d1%80%d0%bd%d0%be%d1%96-%d0%b0%d0%b4%d0%b0%d0%bf%d1%82%d0%b8%d0%b2%d0%bd%d0%be%d1%96-%d1%80-2\/"},"modified":"2023-07-27T06:34:51","modified_gmt":"2023-07-27T06:34:51","slug":"%d1%81%d0%bf%d0%bb%d0%b0%d0%b8%d0%bd%d0%b8-%d0%b1%d0%b0%d0%b3%d0%b0%d1%82%d0%be%d0%b2%d0%b8%d0%bc%d1%96%d1%80%d0%bd%d0%be%d1%96-%d0%b0%d0%b4%d0%b0%d0%bf%d1%82%d0%b8%d0%b2%d0%bd%d0%be%d1%96-%d1%80-2","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d1%81%d0%bf%d0%bb%d0%b0%d0%b8%d0%bd%d0%b8-%d0%b1%d0%b0%d0%b3%d0%b0%d1%82%d0%be%d0%b2%d0%b8%d0%bc%d1%96%d1%80%d0%bd%d0%be%d1%96-%d0%b0%d0%b4%d0%b0%d0%bf%d1%82%d0%b8%d0%b2%d0%bd%d0%be%d1%96-%d1%80-2\/","title":{"rendered":"\u0411\u0430\u0433\u0430\u0442\u043e\u0444\u0430\u043a\u0442\u043e\u0440\u043d\u0456 \u0441\u043f\u043b\u0430\u0439\u043d\u0438 \u0430\u0434\u0430\u043f\u0442\u0438\u0432\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/uk\/\u0441\u043f\u043b\u0430\u0438\u043d\u0438-\u0431\u0430\u0433\u0430\u0442\u043e\u0432\u0438\u043c\u0456\u0440\u043d\u043e\u0456-\u0430\u0434\u0430\u043f\u0442\u0438\u0432\u043d\u043e\u0456-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0456\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0421\u043f\u043b\u0430\u0439\u043d\u0438 \u0431\u0430\u0433\u0430\u0442\u043e\u0432\u0438\u043c\u0456\u0440\u043d\u043e\u0457 \u0430\u0434\u0430\u043f\u0442\u0438\u0432\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457<\/a> (MARS) \u043c\u043e\u0436\u043d\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0434\u043b\u044f \u043c\u043e\u0434\u0435\u043b\u044e\u0432\u0430\u043d\u043d\u044f \u043d\u0435\u043b\u0456\u043d\u0456\u0439\u043d\u0438\u0445 \u0437\u0432\u2019\u044f\u0437\u043a\u0456\u0432 \u043c\u0456\u0436 \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0437\u043c\u0456\u043d\u043d\u0438\u0445 \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0430 \u0442\u0430 <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\u043e\u044e \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456<\/a> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u043c\u0435\u0442\u043e\u0434 \u043f\u0440\u0430\u0446\u044e\u0454 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c \u0447\u0438\u043d\u043e\u043c:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1.<\/strong> \u0420\u043e\u0437\u0434\u0456\u043b\u0456\u0442\u044c \u043d\u0430\u0431\u0456\u0440 \u0434\u0430\u043d\u0438\u0445 \u043d\u0430 <em>k<\/em> \u0447\u0430\u0441\u0442\u0438\u043d.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong> \u041f\u0440\u0438\u0441\u0442\u043e\u0441\u0443\u0439\u0442\u0435 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0443 \u043c\u043e\u0434\u0435\u043b\u044c \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0457 \u0447\u0430\u0441\u0442\u0438\u043d\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3.<\/strong> \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 k-\u043a\u0440\u0430\u0442\u043d\u0443 \u043f\u0435\u0440\u0435\u0445\u0440\u0435\u0441\u043d\u0443 \u043f\u0435\u0440\u0435\u0432\u0456\u0440\u043a\u0443, \u0449\u043e\u0431 \u0432\u0438\u0431\u0440\u0430\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0434\u043b\u044f <em>k<\/em> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043d\u0430\u0434\u0430\u0454 \u043f\u043e\u043a\u0440\u043e\u043a\u043e\u0432\u0438\u0439 \u043f\u0440\u0438\u043a\u043b\u0430\u0434 \u0442\u043e\u0433\u043e, \u044f\u043a \u0430\u0434\u0430\u043f\u0442\u0443\u0432\u0430\u0442\u0438 \u043c\u043e\u0434\u0435\u043b\u044c MARS \u0434\u043e \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0443 R.<\/span><\/p>\n<h3> <strong>\u041a\u0440\u043e\u043a 1: \u0417\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0442\u0435 \u043d\u0435\u043e\u0431\u0445\u0456\u0434\u043d\u0456 \u043f\u0430\u043a\u0435\u0442\u0438<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u043b\u044f \u0446\u044c\u043e\u0433\u043e \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0443 \u043c\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0454\u043c\u043e \u043d\u0430\u0431\u0456\u0440 \u0434\u0430\u043d\u0438\u0445 ISLR <strong>Wage<\/strong> <strong>. <em>&nbsp;<\/em><\/strong> \u043f\u0430\u043a\u0435\u0442, \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0440\u0456\u0447\u043d\u0443 \u0437\u0430\u0440\u043f\u043b\u0430\u0442\u0443 3000 \u043b\u044e\u0434\u0435\u0439 \u0440\u0430\u0437\u043e\u043c \u0456\u0437 \u0440\u0456\u0437\u043d\u0438\u043c\u0438 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043d\u0438\u043c\u0438 \u0437\u043c\u0456\u043d\u043d\u0438\u043c\u0438, \u0442\u0430\u043a\u0438\u043c\u0438 \u044f\u043a \u0432\u0456\u043a, \u043e\u0441\u0432\u0456\u0442\u0430, \u0440\u0430\u0441\u0430 \u0442\u043e\u0449\u043e.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041f\u0435\u0440\u0435\u0434 \u043f\u0456\u0434\u0433\u043e\u043d\u043a\u043e\u044e \u043c\u043e\u0434\u0435\u043b\u0456 MARS \u0434\u043e \u0434\u0430\u043d\u0438\u0445 \u043c\u0438 \u0437\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0438\u043c\u043e \u043d\u0435\u043e\u0431\u0445\u0456\u0434\u043d\u0456 \u043f\u0430\u043a\u0435\u0442\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #993300;\">library<\/span> (ISLR) <span style=\"color: #008080;\">#contains Wage dataset<\/span>\n<span style=\"color: #993300;\">library<\/span> (dplyr) <span style=\"color: #008080;\">#data wrangling<\/span>\n<span style=\"color: #993300;\">library<\/span> (ggplot2) <span style=\"color: #008080;\">#plotting<\/span>\n<span style=\"color: #993300;\">library<\/span> (earth) <span style=\"color: #008080;\">#fitting MARS models<\/span>\n<span style=\"color: #993300;\">library<\/span> (caret) <span style=\"color: #008080;\">#tuning model parameters<\/span>\n<\/strong><\/pre>\n<h3> <strong>\u041a\u0440\u043e\u043a 2: \u041f\u0435\u0440\u0435\u0433\u043b\u044f\u043d\u044c\u0442\u0435 \u0434\u0430\u043d\u0456<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u0430\u043b\u0456 \u043c\u0438 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0437\u0438\u043c\u043e \u043f\u0435\u0440\u0448\u0456 \u0448\u0456\u0441\u0442\u044c \u0440\u044f\u0434\u043a\u0456\u0432 \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445, \u0437 \u044f\u043a\u0438\u043c \u043c\u0438 \u043f\u0440\u0430\u0446\u044e\u0454\u043c\u043e:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#view first six rows of data<\/span>\nhead<\/span> (Wage)\n\n       year age maritl race education region\n231655 2006 18 1. Never Married 1. White 1. &lt; HS Grad 2. Middle Atlantic\n86582 2004 24 1. Never Married 1. White 4. College Grad 2. Middle Atlantic\n161300 2003 45 2. Married 1. White 3. Some College 2. Middle Atlantic\n155159 2003 43 2. Married 3. Asian 4. College Grad 2. Middle Atlantic\n11443 2005 50 4. Divorced 1. White 2. HS Grad 2. Middle Atlantic\n376662 2008 54 2. Married 1. White 4. College Grad 2. Middle Atlantic\n             jobclass health health_ins logwage wage\n231655 1. Industrial 1. &lt;=Good 2. No 4.318063 75.04315\n86582 2. Information 2. &gt;=Very Good 2. No 4.255273 70.47602\n161300 1. Industrial 1. &lt;=Good 1. Yes 4.875061 130.98218\n155159 2. Information 2. &gt;=Very Good 1. Yes 5.041393 154.68529\n11443 2. Information 1. &lt;=Good 1. Yes 4.318063 75.04315\n376662 2. Information 2. &gt;=Very Good 1. Yes 4.845098 127.11574\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041a\u0440\u043e\u043a 3: \u0421\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0442\u0430 \u043e\u043f\u0442\u0438\u043c\u0456\u0437\u0430\u0446\u0456\u044f \u043c\u043e\u0434\u0435\u043b\u0456 MARS<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u0430\u043b\u0456 \u043c\u0438 \u0441\u0442\u0432\u043e\u0440\u0438\u043c\u043e \u043c\u043e\u0434\u0435\u043b\u044c MARS \u0434\u043b\u044f \u0446\u044c\u043e\u0433\u043e \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0456 \u0432\u0438\u043a\u043e\u043d\u0430\u0454\u043c\u043e <a href=\"https:\/\/statorials.org\/uk\/k-\u043a\u0440\u0430\u0442\u043d\u0430-\u043f\u0435\u0440\u0435\u0445\u0440\u0435\u0441\u043d\u0430-\u043f\u0435\u0440\u0435\u0432\u0456\u0440\u043a\u0430\/\" target=\"_blank\" rel=\"noopener noreferrer\">k-\u043a\u0440\u0430\u0442\u043d\u0443 \u043f\u0435\u0440\u0435\u0445\u0440\u0435\u0441\u043d\u0443 \u043f\u0435\u0440\u0435\u0432\u0456\u0440\u043a\u0443<\/a> , \u0449\u043e\u0431 \u0432\u0438\u0437\u043d\u0430\u0447\u0438\u0442\u0438, \u044f\u043a\u0430 \u043c\u043e\u0434\u0435\u043b\u044c \u0434\u0430\u0454 \u043d\u0430\u0439\u043d\u0438\u0436\u0447\u0443 \u0442\u0435\u0441\u0442\u043e\u0432\u0443 RMSE (\u0441\u0435\u0440\u0435\u0434\u043d\u044e \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0438\u0447\u043d\u0443 \u043f\u043e\u043c\u0438\u043b\u043a\u0443).<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create a tuning grid\n<\/span>hyper_grid &lt;- expand. <span style=\"color: #3366ff;\">grid<\/span> (degree = 1:3,\n                          nprune = <span style=\"color: #3366ff;\">seq<\/span> (2, 50, length.out = 10) <span style=\"color: #3366ff;\">%&gt;%<\/span>\n<span style=\"color: #3366ff;\">floor<\/span> ())\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(1)\n\n<span style=\"color: #008080;\">#fit MARS model using k-fold cross-validation\n<\/span>cv_mars &lt;- train(\n  x = subset(Wage, select = -c(wage, logwage)),\n  y = Wage$wage,\n  method = \" <span style=\"color: #008000;\">earth<\/span> \",\n  metric = \" <span style=\"color: #008000;\">RMSE<\/span> \",\n  trControl = trainControl(method = \" <span style=\"color: #008000;\">cv<\/span> \", number = 10),\n  tuneGrid = hyper_grid)\n\n<span style=\"color: #008080;\">#display model with lowest test RMSE<\/span>\ncv_mars$results <span style=\"color: #3366ff;\">%&gt;%<\/span>\n  <span style=\"color: #3366ff;\">filter<\/span> (nprune==cv_mars$bestTune$nprune, degree =cv_mars$bestTune$degree)    \ndegree nprune RMSE Rsquared MAE RMSESD RsquaredSD MAESD\t\t\n1 12 33.8164 0.3431804 22.97108 2.240394 0.03064269 1.4554\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0417 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0456\u0432 \u043c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e \u043c\u043e\u0434\u0435\u043b\u044c, \u044f\u043a\u0430 \u0434\u0430\u043b\u0430 \u043d\u0430\u0439\u043d\u0438\u0436\u0447\u0443 \u0442\u0435\u0441\u0442\u043e\u0432\u0443 MSE, \u0431\u0443\u043b\u0430 \u043c\u043e\u0434\u0435\u043b\u043b\u044e \u043b\u0438\u0448\u0435 \u0437 \u0435\u0444\u0435\u043a\u0442\u0430\u043c\u0438 \u043f\u0435\u0440\u0448\u043e\u0433\u043e \u043f\u043e\u0440\u044f\u0434\u043a\u0443 (\u0442\u043e\u0431\u0442\u043e \u0431\u0435\u0437 \u0443\u043c\u043e\u0432 \u0432\u0437\u0430\u0454\u043c\u043e\u0434\u0456\u0457) \u0456 12 \u0443\u043c\u043e\u0432\u0430\u043c\u0438. \u0426\u044f \u043c\u043e\u0434\u0435\u043b\u044c \u0434\u0430\u043b\u0430 \u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0438\u0447\u043d\u0443 \u043f\u043e\u043c\u0438\u043b\u043a\u0443 (RMSE) <strong>33,8164<\/strong> .<\/span><\/p>\n<p> <em><span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430:<\/strong> \u043c\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043b\u0438 method=\u201dearth\u201d \u0434\u043b\u044f \u0432\u0438\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043c\u043e\u0434\u0435\u043b\u0456 MARS. \u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0434\u043b\u044f \u0446\u044c\u043e\u0433\u043e \u043c\u0435\u0442\u043e\u0434\u0443 <a href=\"https:\/\/rdrr.io\/cran\/earth\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0442\u0443\u0442<\/a> .<\/span><\/em><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0434\u043b\u044f \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0430\u0446\u0456\u0457 \u0442\u0435\u0441\u0442\u0443 RMSE \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u0441\u0442\u0443\u043f\u0435\u043d\u044f \u0442\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u0441\u0442\u0456 \u0442\u0435\u0440\u043c\u0456\u043d\u0456\u0432:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#display test RMSE by terms and degree<\/span>\nggplot(cv_mars)\n<\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12023 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/mars1.png\" alt=\"\u041c\u043e\u0434\u0435\u043b\u044c MARS \u0432 R\" width=\"431\" height=\"439\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456 \u043c\u0438 \u0431 \u0430\u0434\u0430\u043f\u0442\u0443\u0432\u0430\u043b\u0438 \u043c\u043e\u0434\u0435\u043b\u044c MARS \u0434\u043e \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u0456\u043d\u0448\u0438\u0445 \u0442\u0438\u043f\u0456\u0432 \u043c\u043e\u0434\u0435\u043b\u0435\u0439, \u0442\u0430\u043a\u0438\u0445 \u044f\u043a:<\/span><\/p>\n<ul>\n<li> <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-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u041c\u043d\u043e\u0436\u0438\u043d\u043d\u0430 \u043b\u0456\u043d\u0456\u0439\u043d\u0430 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f<\/a><\/li>\n<li> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u043e\u043b\u0456\u043d\u043e\u043c\u0456\u0430\u043b\u044c\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u041f\u043e\u043b\u0456\u043d\u043e\u043c\u0456\u0430\u043b\u044c\u043d\u0430 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f<\/a><\/li>\n<li> <a href=\"https:\/\/statorials.org\/uk\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-\u0433\u0440\u0435\u0431\u0435\u043d\u044f-\u0432-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u041f\u0456\u043a\u043e\u0432\u0430 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f<\/a><\/li>\n<li> <a href=\"https:\/\/statorials.org\/uk\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-\u043b\u0430\u0441\u043e-\u0432-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0420\u0435\u0433\u0440\u0435\u0441\u0456\u044f \u043b\u0430\u0441\u043e<\/a><\/li>\n<li> <a href=\"https:\/\/statorials.org\/uk\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-\u0433\u043e\u043b\u043e\u0432\u043d\u0438\u0445-\u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442-\u0432-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0420\u0435\u0433\u0440\u0435\u0441\u0456\u044f \u0433\u043e\u043b\u043e\u0432\u043d\u0438\u0445 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442<\/a><\/li>\n<li> <a href=\"https:\/\/statorials.org\/uk\/\u0447\u0430\u0441\u0442\u043a\u043e\u0432\u0456-\u043d\u0430\u0438\u043c\u0435\u043d\u0448\u0456-\u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0438-\u0432-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0427\u0430\u0441\u0442\u043a\u043e\u0432\u0456 \u043d\u0430\u0439\u043c\u0435\u043d\u0448\u0456 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0438<\/a><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u041f\u043e\u0442\u0456\u043c \u043c\u0438 \u043f\u043e\u0440\u0456\u0432\u043d\u044e\u0454\u043c\u043e \u043a\u043e\u0436\u043d\u0443 \u043c\u043e\u0434\u0435\u043b\u044c, \u0449\u043e\u0431 \u0432\u0438\u0437\u043d\u0430\u0447\u0438\u0442\u0438, \u044f\u043a\u0430 \u043f\u0440\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u044c \u0434\u043e \u043d\u0430\u0439\u043c\u0435\u043d\u0448\u043e\u0457 \u043f\u043e\u043c\u0438\u043b\u043a\u0438 \u0442\u0435\u0441\u0442\u0443, \u0456 \u0432\u0438\u0431\u0438\u0440\u0430\u0454\u043c\u043e \u0446\u044e \u043c\u043e\u0434\u0435\u043b\u044c \u044f\u043a \u043e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u0443 \u0434\u043b\u044f \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041f\u043e\u0432\u043d\u0438\u0439 \u043a\u043e\u0434 R, \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u0438\u0439 \u0443 \u0446\u044c\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456, \u043c\u043e\u0436\u043d\u0430 \u0437\u043d\u0430\u0439\u0442\u0438 <a href=\"https:\/\/github.com\/Statorials\/R-Guides\/blob\/main\/multivariate_adaptive_regression_splines.R\" target=\"_blank\" rel=\"noopener noreferrer\">\u0442\u0443\u0442<\/a> .<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0421\u043f\u043b\u0430\u0439\u043d\u0438 \u0431\u0430\u0433\u0430\u0442\u043e\u0432\u0438\u043c\u0456\u0440\u043d\u043e\u0457 \u0430\u0434\u0430\u043f\u0442\u0438\u0432\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 (MARS) \u043c\u043e\u0436\u043d\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0434\u043b\u044f \u043c\u043e\u0434\u0435\u043b\u044e\u0432\u0430\u043d\u043d\u044f \u043d\u0435\u043b\u0456\u043d\u0456\u0439\u043d\u0438\u0445 \u0437\u0432\u2019\u044f\u0437\u043a\u0456\u0432 \u043c\u0456\u0436 \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0437\u043c\u0456\u043d\u043d\u0438\u0445 \u043f\u0440\u0435\u0434\u0438\u043a\u0442\u043e\u0440\u0430 \u0442\u0430 \u0437\u043c\u0456\u043d\u043d\u043e\u044e \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456 . \u0426\u0435\u0439 \u043c\u0435\u0442\u043e\u0434 \u043f\u0440\u0430\u0446\u044e\u0454 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c \u0447\u0438\u043d\u043e\u043c: 1. \u0420\u043e\u0437\u0434\u0456\u043b\u0456\u0442\u044c \u043d\u0430\u0431\u0456\u0440 \u0434\u0430\u043d\u0438\u0445 \u043d\u0430 k \u0447\u0430\u0441\u0442\u0438\u043d. 2. \u041f\u0440\u0438\u0441\u0442\u043e\u0441\u0443\u0439\u0442\u0435 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0443 \u043c\u043e\u0434\u0435\u043b\u044c \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0457 \u0447\u0430\u0441\u0442\u0438\u043d\u0438. 3. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 k-\u043a\u0440\u0430\u0442\u043d\u0443 \u043f\u0435\u0440\u0435\u0445\u0440\u0435\u0441\u043d\u0443 \u043f\u0435\u0440\u0435\u0432\u0456\u0440\u043a\u0443, \u0449\u043e\u0431 \u0432\u0438\u0431\u0440\u0430\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0434\u043b\u044f k . \u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043d\u0430\u0434\u0430\u0454 \u043f\u043e\u043a\u0440\u043e\u043a\u043e\u0432\u0438\u0439 \u043f\u0440\u0438\u043a\u043b\u0430\u0434 \u0442\u043e\u0433\u043e, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0411\u0430\u0433\u0430\u0442\u043e\u0432\u0438\u043c\u0456\u0440\u043d\u0456 \u0441\u043f\u043b\u0430\u0439\u043d\u0438 \u0430\u0434\u0430\u043f\u0442\u0438\u0432\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 R - \u0441\u0442\u0430\u0442\u043e\u0440\u0456\u0430\u043b\u0438<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a 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