{"id":1175,"date":"2023-07-27T09:44:39","date_gmt":"2023-07-27T09:44:39","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-k-%e1%84%8c%e1%85%a5%e1%86%b8%e1%84%80%e1%85%b5-%e1%84%80%e1%85%ad%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%a5%e1%86%b7%e1%84%8c%e1%85%b3%e1%86%bc\/"},"modified":"2023-07-27T09:44:39","modified_gmt":"2023-07-27T09:44:39","slug":"r%e1%84%8b%e1%85%b4-k-%e1%84%8c%e1%85%a5%e1%86%b8%e1%84%80%e1%85%b5-%e1%84%80%e1%85%ad%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%a5%e1%86%b7%e1%84%8c%e1%85%b3%e1%86%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-k-%e1%84%8c%e1%85%a5%e1%86%b8%e1%84%80%e1%85%b5-%e1%84%80%e1%85%ad%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%a5%e1%86%b7%e1%84%8c%e1%85%b3%e1%86%bc\/","title":{"rendered":"R\uc758 k-fold \uad50\ucc28 \uac80\uc99d(\ub2e8\uacc4\ubcc4)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\ub824\uba74 \ubaa8\ub378\uc758 \uc608\uce21\uc774 \uad00\ucc30\ub41c \ub370\uc774\ud130\uc640 \uc5bc\ub9c8\ub098 \uc798 \uc77c\uce58\ud558\ub294\uc9c0 \uce21\uc815\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \uc218\ud589\ud558\uae30 \uc704\ud574 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c \uc811\uadfc \ubc29\uc2dd\uc744 \uc0ac\uc6a9\ud558\ub294 <a href=\"https:\/\/statorials.org\/ko\/k-\u1100\u1167\u11b8-\u1100\u116d\u110e\u1161-\u1100\u1165\u11b7\u110c\u1173\u11bc\/\" target=\"_blank\" rel=\"noopener noreferrer\">k-\uacb9 \uad50\ucc28 \uac80\uc99d<\/a> \uc73c\ub85c \uc54c\ub824\uc838 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1.<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub300\ub7b5 \ub3d9\uc77c\ud55c \ud06c\uae30\uc758 <em>k\uac1c<\/em> \uadf8\ub8f9, \uc989 &#8220;\uc811\uae30&#8221;\ub85c \ubb34\uc791\uc704\ub85c \ub098\ub215\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong> \uc811\ud78c \ubd80\ubd84 \uc911 \ud558\ub098\ub97c \uad6c\uc18d \uc138\ud2b8\ub85c \uc120\ud0dd\ud569\ub2c8\ub2e4. \ud15c\ud50c\ub9bf\uc744 \ub098\uba38\uc9c0 k-1 \uc811\uae30\ub85c \uc870\uc815\ud569\ub2c8\ub2e4. \uc778\uc7a5\ub41c \ud50c\ub77c\uc774\uc758 \uad00\ucc30\uc5d0 \ub300\ud55c MSE \ud14c\uc2a4\ud2b8\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3.<\/strong> \ub9e4\ubc88 \ub2e4\ub978 \uc138\ud2b8\ub97c \uc81c\uc678 \uc138\ud2b8\ub85c \uc0ac\uc6a9\ud558\uc5ec \uc774 \ud504\ub85c\uc138\uc2a4\ub97c <em>k<\/em> \ubc88 \ubc18\ubcf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>4.<\/strong> <em>k\uac1c\uc758<\/em> \ud14c\uc2a4\ud2b8 MSE\uc758 \ud3c9\uade0\uc73c\ub85c \uc804\uccb4 \ud14c\uc2a4\ud2b8 MSE\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">R\uc5d0\uc11c k-\uacb9 \uad50\ucc28 \uac80\uc99d\uc744 \uc218\ud589\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 R\uc758 <strong>\uce90\ub7ff<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0\uc11c <a href=\"https:\/\/www.rdocumentation.org\/packages\/caret\/versions\/6.0-86\/topics\/trainControl\" target=\"_blank\" rel=\"noopener noreferrer\">trainControl()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc758 \ud2b9\uc815 \ubaa8\ub378\uc5d0 \ub300\ud574 k-\uacb9 \uad50\ucc28 \uac80\uc99d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608: R\uc758 K-\uacb9 \uad50\ucc28 \uac80\uc99d<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">R\uc5d0 \ub2e4\uc74c\uacfc \uac19\uc740 \ub370\uc774\ud130 \uc138\ud2b8\uac00 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data.frame(y=c(6, 8, 12, 14, 14, 15, 17, 22, 24, 23),\n                 x1=c(2, 5, 4, 3, 4, 6, 7, 5, 8, 9),\n                 x2=c(14, 12, 12, 13, 7, 8, 7, 4, 6, 5))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\ny x1 x2\n6 2 14\n8 5 12\n12 4 12\n14 3 13\n14 4 7\n15 6 8\n17 7 7\n22 5 4\n24 8 6\n23 9 5\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744<\/a> R\uc758 \uc774 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub9de\ucd94\uace0 k = 5\ubc88\uc73c\ub85c k\uacb9 \uad50\ucc28 \uac80\uc99d\uc744 \uc218\ud589\ud558\uc5ec \ubaa8\ub378 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #993300;\">library<\/span> (caret)<\/span>\n\n#specify the cross-validation method<\/span>\nctrl &lt;- trainControl(method = \" <span style=\"color: #008000;\">cv<\/span> \", number = 5)\n\n<span style=\"color: #008080;\">#fit a regression model and use k-fold CV to evaluate performance\n<\/span>model &lt;- train(y ~ x1 + x2, data = df, method = \" <span style=\"color: #008000;\">lm<\/span> \", trControl = ctrl)\n\n<span style=\"color: #008080;\">#view summary of k-fold CV               \n<\/span>print(model)\n\nLinear Regression \n\n10 samples\n 2 predictors\n\nNo pre-processing\nResampling: Cross-Validated (5 fold) \nSummary of sample sizes: 8, 8, 8, 8, 8 \nResampling results:\n\n  RMSE Rsquared MAE     \n  3.018979 1 2.882348\n\nTuning parameter 'intercept' was held constant at a value of TRUE\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc804\ucc98\ub9ac\uac00 \uc218\ud589\ub418\uc9c0 \uc54a\uc558\uc2b5\ub2c8\ub2e4. \uc989, \ubaa8\ub378\uc744 \ud53c\ud305\ud558\uae30 \uc804\uc5d0 \uc5b4\ub5a4 \ubc29\uc2dd\uc73c\ub85c\ub4e0 <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1166\u1109\u1165-\u1103\u1166\u110b\u1175\u1110\u1165\u1105\u1173\u11af-\u110c\u1165\u11bc\u1100\u1172\u1112\u116a\u1112\u1161\u1102\u1173\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\/\" target=\"_blank\" rel=\"noopener noreferrer\">\ub370\uc774\ud130\ub97c \ud655\uc7a5<\/a> \ud558\uc9c0 \uc54a\uc558\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub378\uc744 \ud3c9\uac00\ud558\ub294 \ub370 \uc0ac\uc6a9\ud55c \ub9ac\uc0d8\ud50c\ub9c1 \ubc29\ubc95\uc740 5\uacb9 \uad50\ucc28 \uac80\uc99d\uc774\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac01 \ud6c8\ub828 \uc138\ud2b8\uc758 \ud45c\ubcf8 \ud06c\uae30\ub294 8\uc774\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>RMSE:<\/strong> \uc81c\uacf1\ud3c9\uade0\uc81c\uacf1\uadfc \uc624\ub958. \uc774\ub294 \ubaa8\ub378\uc758 \uc608\uce21\uacfc \uc2e4\uc81c \uad00\ucc30 \uac04\uc758 \ud3c9\uade0 \ucc28\uc774\ub97c \uce21\uc815\ud569\ub2c8\ub2e4. RMSE\uac00 \ub0ae\uc744\uc218\ub85d \ubaa8\ub378\uc774 \uc2e4\uc81c \uad00\uce21\uce58\ub97c \ub354 \uc815\ud655\ud558\uac8c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Rsquared:<\/strong> \ubaa8\ub378\uc5d0 \uc758\ud55c \uc608\uce21\uacfc \uc2e4\uc81c \uad00\ucc30 \uac04\uc758 \uc0c1\uad00 \uad00\uacc4\ub97c \uce21\uc815\ud55c \uac83\uc785\ub2c8\ub2e4. R-\uc81c\uacf1\uc774 \ub192\uc744\uc218\ub85d \ubaa8\ub378\uc774 \uc2e4\uc81c \uad00\uce21\uce58\ub97c \ub354 \uc815\ud655\ud558\uac8c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>MAE:<\/strong> \ud3c9\uade0 \uc808\ub300 \uc624\ucc28\uc785\ub2c8\ub2e4. \uc774\ub294 \ubaa8\ub378\uc5d0 \uc758\ud55c \uc608\uce21\uacfc \uc2e4\uc81c \uad00\ucc30 \uac04\uc758 \ud3c9\uade0 \uc808\ub300 \ucc28\uc774\uc785\ub2c8\ub2e4. MAE\uac00 \ub0ae\uc744\uc218\ub85d \ubaa8\ub378\uc774 \uc2e4\uc81c \uad00\uce21\uce58\ub97c \ub354 \uc815\ud655\ud558\uac8c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0 \uc81c\uacf5\ub41c \uc138 \uac00\uc9c0 \uce21\uc815\uac12(RMSE, R-\uc81c\uacf1 \ubc0f MAE) \uac01\uac01\uc740 \uac8c\uc2dc\ub418\uc9c0 \uc54a\uc740 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \ubaa8\ub378 \uc131\ub2a5\uc5d0 \ub300\ud55c \uc544\uc774\ub514\uc5b4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc2e4\uc81c\ub85c \uc6b0\ub9ac\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \uc5ec\ub7ec \ub2e4\ub978 \ubaa8\ub378\uc744 \uc801\ud569\ud558\uace0 \uc5ec\uae30\uc5d0 \uc81c\uc2dc\ub41c \uacb0\uacfc\uc5d0\uc11c \uc81c\uacf5\ub418\ub294 \uc138 \uac00\uc9c0 \uce21\uc815\ud56d\ubaa9\uc744 \ube44\uad50\ud558\uc5ec \uc5b4\ub5a4 \ubaa8\ub378\uc774 \uac00\uc7a5 \ub0ae\uc740 \ud14c\uc2a4\ud2b8 \uc624\ub958\uc728\uc744 \uc0dd\uc131\ud558\ubbc0\ub85c \uc0ac\uc6a9\ud558\uae30\uc5d0 \uac00\uc7a5 \uc88b\uc740 \ubaa8\ub378\uc778\uc9c0 \uacb0\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucd5c\uc885 \ubaa8\ub378 \uc801\ud569\uc131\uc744 \uac80\uc0ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view final model<\/span>\nmodel$finalModel\n\nCall:\nlm(formula = .outcome ~ ., data = dat)\n\nCoefficients:\n(Intercept) x1 x2  \n    21.2672 0.7803 -1.1253  \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ucd5c\uc885 \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>y = 21.2672 + 0.7803*(x <sub>1<\/sub> ) \u2013 1.12538(x <sub>2<\/sub> )<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 \uc811\uae30\uc5d0 \ub300\ud55c \ubaa8\ub378 \uc608\uce21\uc744 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view predictions for each fold<\/span>\nmodel$resample\n\n      RMSE Rsquared MAE Resample\n1 4.808773 1 3.544494 Fold1\n2 3.464675 1 3.366812 Fold2\n3 6.281255 1 6.280702 Fold3\n4 3.759222 1 3.573883 Fold4\n5 1.741127 1 1.679767 Fold5<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 k=5 \uc811\uae30\ub97c \uc0ac\uc6a9\ud558\ub3c4\ub85d \uc120\ud0dd\ud588\uc9c0\ub9cc \uc6d0\ud558\ub294 \ub9cc\ud07c\uc758 \uc811\uae30\ub97c \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc2e4\uc81c\ub85c \uc6b0\ub9ac\ub294 \uc77c\ubc18\uc801\uc73c\ub85c 5~10\uacb9 \uc0ac\uc774\ub97c \uc120\ud0dd\ud569\ub2c8\ub2e4. \uc774\ub294 \uc2e0\ub8b0\ud560 \uc218 \uc788\ub294 \ud14c\uc2a4\ud2b8 \uc624\ub958\uc728\uc744 \uc0dd\uc131\ud558\ub294 \ucd5c\uc801\uc758 \ud50c\ub77c\uc774 \uc218\uc784\uc774 \uc785\uc99d\ub418\uc5c8\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\ub824\uba74 \ubaa8\ub378\uc758 \uc608\uce21\uc774 \uad00\ucc30\ub41c \ub370\uc774\ud130\uc640 \uc5bc\ub9c8\ub098 \uc798 \uc77c\uce58\ud558\ub294\uc9c0 \uce21\uc815\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub97c \uc218\ud589\ud558\uae30 \uc704\ud574 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c \uc811\uadfc \ubc29\uc2dd\uc744 \uc0ac\uc6a9\ud558\ub294 k-\uacb9 \uad50\ucc28 \uac80\uc99d \uc73c\ub85c \uc54c\ub824\uc838 \uc788\uc2b5\ub2c8\ub2e4. 1. \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub300\ub7b5 \ub3d9\uc77c\ud55c \ud06c\uae30\uc758 k\uac1c \uadf8\ub8f9, \uc989 &#8220;\uc811\uae30&#8221;\ub85c \ubb34\uc791\uc704\ub85c \ub098\ub215\ub2c8\ub2e4. 2. \uc811\ud78c \ubd80\ubd84 \uc911 \ud558\ub098\ub97c \uad6c\uc18d \uc138\ud2b8\ub85c \uc120\ud0dd\ud569\ub2c8\ub2e4. \ud15c\ud50c\ub9bf\uc744 \ub098\uba38\uc9c0 k-1 \uc811\uae30\ub85c [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-1175","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R\uc758 K-Fold \uad50\ucc28 \uac80\uc99d(\ub2e8\uacc4\ubcc4)<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e8\uacc4\ubcc4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec R\uc5d0\uc11c k-\uacb9 \uad50\ucc28 \uac80\uc99d\uc744 \uc218\ud589\ud558\ub294 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