{"id":2972,"date":"2023-07-19T20:13:11","date_gmt":"2023-07-19T20:13:11","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-r-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a9%e1%86%b8\/"},"modified":"2023-07-19T20:13:11","modified_gmt":"2023-07-19T20:13:11","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-r-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a9%e1%86%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-r-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a9%e1%86%b8\/","title":{"rendered":"Python\uc5d0\uc11c r-\uc81c\uacf1\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"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\uc740 0\uc5d0\uc11c 1\uae4c\uc9c0 \ub2e4\uc591\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0\uc740<\/strong> \ubc18\uc751 \ubcc0\uc218\uac00 \uc608\uce21 \ubcc0\uc218\ub85c \uc804\ud600 \uc124\uba85\ub420 \uc218 \uc5c6\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1\uc740<\/strong> \uc608\uce21\ubcc0\uc218\uc5d0 \uc758\ud574 \ubc18\uc751\ubcc0\uc218\uac00 \uc624\ub958 \uc5c6\uc774 \uc644\ubcbd\ud558\uac8c \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ub300\ud55c R <sup>2\ub97c<\/sup> \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608: Python\uc5d0\uc11c R-\uc81c\uacf1 \uacc4\uc0b0<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/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> \uc758 <strong>LinearRegression()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\uace0 <strong>Score()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 R \uc81c\uacf1 \uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/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;\">\ubaa8\ub378\uc758 R \uc81c\uacf1\uc740 <strong>0.7176<\/strong> \uc73c\ub85c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub294 \uc2dc\ud5d8 \uc810\uc218 \ubcc0\ub3d9\uc758 <strong>71.76%\uac00<\/strong> \uacf5\ubd80 \uc2dc\uac04\uacfc \uc5f0\uc2b5 \uc2dc\ud5d8 \ud69f\uc218\ub85c \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc6d0\ud558\ub294 \uacbd\uc6b0 \uc774 R-\uc81c\uacf1 \uac12\uc744 \ub2e4\ub978 \uc608\uce21 \ubcc0\uc218 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud558\ub294 \ub2e4\ub978 \ud68c\uadc0 \ubaa8\ub378\uacfc \ube44\uad50\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc77c\ubc18\uc801\uc73c\ub85c R-\uc81c\uacf1 \uac12\uc774 \ub192\uc740 \ubaa8\ub378\uc774 \uc120\ud638\ub418\ub294 \uc774\uc720\ub294 \ubaa8\ub378\uc758 \uc608\uce21 \ubcc0\uc218 \uc9d1\ud569\uc774 \uc751\ub2f5 \ubcc0\uc218\uc758 \ubcc0\ub3d9\uc744 \uc798 \uc124\uba85\ud560 \uc218 \uc788\ub2e4\ub294 \uc758\ubbf8\uc774\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong> <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><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\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\uc740 0\uc5d0\uc11c 1\uae4c\uc9c0 \ub2e4\uc591\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. 0\uc740 \ubc18\uc751 \ubcc0\uc218\uac00 \uc608\uce21 \ubcc0\uc218\ub85c \uc804\ud600 \uc124\uba85\ub420 \uc218 \uc5c6\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. 1\uc740 \uc608\uce21\ubcc0\uc218\uc5d0 \uc758\ud574 \ubc18\uc751\ubcc0\uc218\uac00 \uc624\ub958 \uc5c6\uc774 \uc644\ubcbd\ud558\uac8c \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ub300\ud55c R 2\ub97c [&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-2972","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>Python\uc5d0\uc11c R-\uc81c\uacf1\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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