{"id":1201,"date":"2023-07-27T07:35:07","date_gmt":"2023-07-27T07:35:07","guid":{"rendered":"https:\/\/statorials.org\/ko\/python%e1%84%8b%e1%85%b4-r-%e1%84%89%e1%85%a1%e1%84%80%e1%85%a1%e1%86%a8%e1%84%92%e1%85%a7%e1%86%bc%e1%84%8b%e1%85%b5-%e1%84%8c%e1%85%a9%e1%84%8c%e1%85%a5%e1%86%bc%e1%84%83%e1%85%ac%e1%86%b8%e1%84%82\/"},"modified":"2023-07-27T07:35:07","modified_gmt":"2023-07-27T07:35:07","slug":"python%e1%84%8b%e1%85%b4-r-%e1%84%89%e1%85%a1%e1%84%80%e1%85%a1%e1%86%a8%e1%84%92%e1%85%a7%e1%86%bc%e1%84%8b%e1%85%b5-%e1%84%8c%e1%85%a9%e1%84%8c%e1%85%a5%e1%86%bc%e1%84%83%e1%85%ac%e1%86%b8%e1%84%82","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/python%e1%84%8b%e1%85%b4-r-%e1%84%89%e1%85%a1%e1%84%80%e1%85%a1%e1%86%a8%e1%84%92%e1%85%a7%e1%86%bc%e1%84%8b%e1%85%b5-%e1%84%8c%e1%85%a9%e1%84%8c%e1%85%a5%e1%86%bc%e1%84%83%e1%85%ac%e1%86%b8%e1%84%82\/","title":{"rendered":"Python\uc5d0\uc11c \uc870\uc815\ub41c r-\uc81c\uacf1\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><sup>R2<\/sup> \ub77c\uace0\ub3c4 \ubd88\ub9ac\ub294 <strong>R-\uc81c\uacf1\uc740<\/strong> <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uc120\ud615 \ud68c\uadc0 \ubaa8\ub378<\/a> \uc758 \uc608\uce21 \ubcc0\uc218\ub85c \uc124\uba85\ud560 \uc218 \uc788\ub294 <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1167\u11ab\u1109\u116e-\u1109\u1165\u11af\u1106\u1167\u11bc-\u110b\u1173\u11bc\u1103\u1161\u11b8\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uc751\ub2f5 \ubcc0\uc218<\/a> \uc758 \ubd84\uc0b0 \ube44\uc728\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">R \uc81c\uacf1 \uac12\uc758 \ubc94\uc704\ub294 0\uc5d0\uc11c 1\uae4c\uc9c0\uc785\ub2c8\ub2e4. \uac12\uc774 0\uc774\uba74 \uc751\ub2f5 \ubcc0\uc218\uac00 \uc608\uce21 \ubcc0\uc218\ub85c \uc804\ud600 \uc124\uba85\ub420 \uc218 \uc5c6\uc74c\uc744 \ub098\ud0c0\ub0b4\uace0, \uac12\uc774 1\uc774\uba74 \uc751\ub2f5 \ubcc0\uc218\uac00 \uc608\uce21 \ubcc0\uc218\ub85c \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc608\uce21\uc790\uac00 \uc624\ub958 \uc5c6\uc774 \uc644\ubcbd\ud558\uac8c \uc124\uba85\ud588\uc2b5\ub2c8\ub2e4. \ubcc0\uc218.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc870\uc815\ub41c R-\uc81c\uacf1\uc740<\/strong> \ud68c\uadc0 \ubaa8\ub378\uc758 \uc608\uce21 \ubcc0\uc218 \uc218\ub97c \uc870\uc815\ud558\ub294 R-\uc81c\uacf1\uc758 \uc218\uc815\ub41c \ubc84\uc804\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc870\uc815\ub41c R <sup>2<\/sup> = 1 &#8211; [(1-R <sup>2<\/sup> )*(n-1)\/(nk-1)]<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>R <sup>2<\/sup><\/strong> : \ubaa8\ub378\uc758 R <sup>2<\/sup><\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>n<\/strong> : \uad00\uce21\uce58 \uc218<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>k<\/strong> : \uc608\uce21 \ubcc0\uc218\uc758 \uc218<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378\uc5d0 \uc608\uce21\ubcc0\uc218\ub97c \ucd94\uac00\ud558\uba74 <sup>R2\uac00<\/sup> \ud56d\uc0c1 \uc99d\uac00\ud558\ubbc0\ub85c \uc870\uc815\ub41c <sup>R2\ub294<\/sup> <em>\ubaa8\ub378\uc758 \uc608\uce21\ubcc0\uc218 \uc218\uc5d0 \ub530\ub77c \uc870\uc815\ub418\uc5b4<\/em> \ubaa8\ub378\uc774 \uc5bc\ub9c8\ub098 \uc720\uc6a9\ud55c\uc9c0 \uc54c\ub824\uc8fc\ub294 \uce21\uc815\ud56d\ubaa9 \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ub300\ud574 \uc870\uc815\ub41c <sup>R2<\/sup> \ub97c \uacc4\uc0b0\ud558\ub294 \ub450 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1169\u11c2\u110b\u1173\u11ab-r-\u110c\u1166\u1100\u1169\u11b8-\u1100\u1161\u11b9\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uc88b\uc740 R \uc81c\uacf1 \uac12\uc774\ub780 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/a><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 1: sklearn\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc870\uc815\ub41c R-\uc81c\uacf1 \uacc4\uc0b0<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ud53c\ud305\ud558\uace0 sklearn\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \ud53c\ud305\ub41c R-\uc81c\uacf1\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">linear_model<\/span> <span style=\"color: #008000;\">import<\/span> LinearRegression\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define URL where dataset is located\n<\/span>url = \"https:\/\/raw.githubusercontent.com\/Statorials\/Python-Guides\/main\/mtcars.csv\"\n\n<span style=\"color: #008080;\">#read in data\n<\/span>data = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (url)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model = <span style=\"color: #3366ff;\">LinearRegression<\/span> ()\nx, y = data[[\"mpg\", \"wt\", \"drat\", \"qsec\"]], data.hp\nmodel. <span style=\"color: #3366ff;\">fit<\/span> (x,y)\n\n<span style=\"color: #008080;\">#display adjusted R-squared\n<\/span>1 - (1-model. <span style=\"color: #3366ff;\">score<\/span> (X, y))*( <span style=\"color: #3366ff;\">len<\/span> (y)-1)\/( <span style=\"color: #3366ff;\">len<\/span> (y)-X. <span style=\"color: #3366ff;\">shape<\/span> [1]-1)\n\n0.7787005290062521<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378\uc758 \uc218\uc815\ub41c R-\uc81c\uacf1\uc740 <strong>0.7787<\/strong> \ub85c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: \ud1b5\uacc4 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc870\uc815\ub41c R-\uc81c\uacf1 \uacc4\uc0b0<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ud53c\ud305\ud558\uace0 statsmodels\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \ud53c\ud305\ub41c R-\uc81c\uacf1\uc744 \uacc4\uc0b0\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: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> statsmodels. <span style=\"color: #3366ff;\">api<\/span> <span style=\"color: #008000;\">as<\/span> sm<\/span>\nimport<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define URL where dataset is located\n<\/span>url = \"https:\/\/raw.githubusercontent.com\/Statorials\/Python-Guides\/main\/mtcars.csv\"\n\n<span style=\"color: #008080;\">#read in data\n<\/span>data = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (url)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>x, y = data[[\"mpg\", \"wt\", \"drat\", \"qsec\"]], data.hp\nX = sm. <span style=\"color: #3366ff;\">add_constant<\/span> (X)\nmodel = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y,x). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#display adjusted R-squared\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">model.rsquared_adj<\/span> )\n\n0.7787005290062521<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378\uc758 \uc218\uc815\ub41c R-\uc81c\uacf1\uc740 <strong>0.7787<\/strong> \ub85c \ub098\ud0c0\ub0ac\uc73c\uba70 \uc774\ub294 \uc774\uc804 \uc608\uc758 \uacb0\uacfc\uc640 \uc77c\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1174-\u1100\u1161\u11ab\u1103\u1161\u11ab\u1112\u1161\u11ab-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener noreferrer\">Python\uc5d0\uc11c \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener noreferrer\">Python\uc5d0\uc11c \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/><a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1174-aic\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc758 AIC\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R2 \ub77c\uace0\ub3c4 \ubd88\ub9ac\ub294 R-\uc81c\uacf1\uc740 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378 \uc758 \uc608\uce21 \ubcc0\uc218\ub85c \uc124\uba85\ud560 \uc218 \uc788\ub294 \uc751\ub2f5 \ubcc0\uc218 \uc758 \ubd84\uc0b0 \ube44\uc728\uc785\ub2c8\ub2e4. R \uc81c\uacf1 \uac12\uc758 \ubc94\uc704\ub294 0\uc5d0\uc11c 1\uae4c\uc9c0\uc785\ub2c8\ub2e4. \uac12\uc774 0\uc774\uba74 \uc751\ub2f5 \ubcc0\uc218\uac00 \uc608\uce21 \ubcc0\uc218\ub85c \uc804\ud600 \uc124\uba85\ub420 \uc218 \uc5c6\uc74c\uc744 \ub098\ud0c0\ub0b4\uace0, \uac12\uc774 1\uc774\uba74 \uc751\ub2f5 \ubcc0\uc218\uac00 \uc608\uce21 \ubcc0\uc218\ub85c \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc608\uce21\uc790\uac00 \uc624\ub958 \uc5c6\uc774 \uc644\ubcbd\ud558\uac8c \uc124\uba85\ud588\uc2b5\ub2c8\ub2e4. \ubcc0\uc218. \uc870\uc815\ub41c R-\uc81c\uacf1\uc740 \ud68c\uadc0 \ubaa8\ub378\uc758 [&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-1201","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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