{"id":3553,"date":"2023-07-16T21:03:21","date_gmt":"2023-07-16T21:03:21","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%a6-svm%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba\/"},"modified":"2023-07-16T21:03:21","modified_gmt":"2023-07-16T21:03:21","slug":"r%e1%84%8b%e1%85%a6-svm%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%a6-svm%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba\/","title":{"rendered":"R\uc5d0\uc11c svm \uac1c\uccb4\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c SVM(\uc9c0\uc6d0 \ubca1\ud130 \uba38\uc2e0) \uac1c\uccb4\ub97c \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (e1071)\n\nplot(svm_model, df)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c <strong>df<\/strong> \ub294 \ub370\uc774\ud130 \ud504\ub808\uc784 \uc774\ub984\uc774\uace0 <strong>svm_model\uc740<\/strong> <strong>svm()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub9de\ub294 \uc9c0\uc6d0 \ubca1\ud130 \uba38\uc2e0\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608: R\uc5d0\uc11c SVM \uac1d\uccb4\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \ud3ec\ud568\ud558\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub370\uc774\ud130 \ud504\ub808\uc784\uc774 R\uc5d0 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (points = c(4, 5, 5, 7, 8, 12, 15, 22, 25, 29),\n                 assists = c(3, 4, 6, 8, 5, 6, 5, 6, 8, 12),\n                 good = factor(c(0, 0, 0, 1, 0, 1, 0, 1, 1, 1)))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n   points assists good\n1 4 3 0\n2 5 4 0\n3 5 6 0\n4 7 8 1\n5 8 5 0\n6 12 6 1\n7 15 5 0\n8 22 6 1\n9 25 8 1\n10 29 12 1<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\ubcc0\uc218 <strong>\ud3ec\uc778\ud2b8\ub97c<\/strong> \uc0ac\uc6a9\ud558\uace0 \ud50c\ub808\uc774\uc5b4\uc758 <strong>\uc2e4\ub825<\/strong> \uc744 \uc608\uce21\ud558\ub294 \ub370 <strong>\ub3c4\uc6c0\uc774 \ub418\ub294<\/strong> \uc11c\ud3ec\ud2b8 \ubca1\ud130 \uba38\uc2e0(0 = \uc544\ub2c8\uc694, 1 = \uc608)\uc744 \ub9cc\ub4e4\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc11c\ud3ec\ud2b8 \ubca1\ud130 \uba38\uc2e0\uc744 \ub9de\ucd98 \ub2e4\uc74c \uacb0\uacfc\ub97c \ud50c\ub86f\ud560 \uc218 \uc788\uc2b5\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: #008000;\">library<\/span> (e1071)<\/span>\n\n<span style=\"color: #000000;\"><span style=\"color: #008080;\">#fit support vector machine\n<\/span>model = svm(good ~ points + assists, data = df)\n\n<span style=\"color: #008080;\">#plot support vector machine\n<\/span>plot(model, df)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29430 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/svm1.jpg\" alt=\"\" width=\"488\" height=\"484\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\ud50c\ub86f\uc740 x\ucd95\uc5d0 <strong>\ubcf4\uc870<\/strong> \ubcc0\uc218\uc758 \uac12, y\ucd95\uc5d0 <strong>\ud3ec\uc778\ud2b8<\/strong> \ubcc0\uc218\uc758 \uac12\uc744 \ud45c\uc2dc\ud558\uba70, \ub450 \uac00\uc9c0 \ub2e4\ub978 \uc0c9\uc0c1\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc120\uc218\uac00 \uc88b\uc744 \uac83\uc73c\ub85c \uc608\uce21\ub418\ub294\uc9c0(\ube68\uac04\uc0c9) \ub610\ub294 (\ub178\ub780\uc0c9) .<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ud50c\ub86f()<\/strong> \ud568\uc218\uc5d0\uc11c <strong>color.palette<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc5d0 \ub2e4\ub978 \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, <strong>heat.colors<\/strong> \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub97c \uc0ac\uc6a9\ud558\ub3c4\ub85d \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\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: #008000;\">library<\/span> (e1071)<\/span>\n\n<span style=\"color: #000000;\"><span style=\"color: #008080;\">#fit support vector machine\n<\/span>model = svm(good ~ points + assists, data = df)\n\n<span style=\"color: #008080;\">#plot support vector machine using different color palette\n<\/span>plot(model, df, color. <span style=\"color: #3366ff;\">palette<\/span> = heat. <span style=\"color: #3366ff;\">colors<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29431 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/svm2.jpg\" alt=\"\" width=\"481\" height=\"487\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>color.palette<\/strong> \uc778\uc218\uc5d0 \ub300\ud55c \ub2e4\ub978 \uc778\uae30 \uc788\ub294 \uc120\ud0dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ubb34\uc9c0\uac1c<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc9c0\ud615.\uc0c9\uc0c1<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud1a0\ud3ec.\uc0c9\uc0c1<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\uac01 \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub294 \ud50c\ub86f\uc5d0 \ub300\ud574 \uc11c\ub85c \ub2e4\ub978 \uc0c9\uc0c1\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\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\/\u1103\u1161\u11ab\u110b\u1175\u11af-dplyr-\u1111\u1175\u11af\u1110\u1165\/\" target=\"_blank\" rel=\"noopener\">dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \uace0\uc720 \uac12\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<\/a><br \/> dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec \uc870\uac74\uc73c\ub85c \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<br \/> <a href=\"https:\/\/statorials.org\/ko\/r-\u110b\u1167\u11af\u110b\u1174-\u1107\u1161\u11af\u1109\u1162\u11bc-\u1112\u116c\u11ba\u1109\u116e-\u1100\u1168\u1109\u1161\u11ab\/\" target=\"_blank\" rel=\"noopener\">R\uc758 \uc5f4\uc5d0\uc11c \ubc1c\uc0dd \ud69f\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c SVM(\uc9c0\uc6d0 \ubca1\ud130 \uba38\uc2e0) \uac1c\uccb4\ub97c \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. library (e1071) plot(svm_model, df) \uc774 \uc608\uc5d0\uc11c df \ub294 \ub370\uc774\ud130 \ud504\ub808\uc784 \uc774\ub984\uc774\uace0 svm_model\uc740 svm() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub9de\ub294 \uc9c0\uc6d0 \ubca1\ud130 \uba38\uc2e0\uc785\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608: R\uc5d0\uc11c SVM \uac1d\uccb4\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95 \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \ud3ec\ud568\ud558\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub370\uc774\ud130 \ud504\ub808\uc784\uc774 [&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-3553","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\uc5d0\uc11c SVM \uac1c\uccb4\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c SVM \uac1d\uccb4\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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