{"id":1198,"date":"2023-07-27T07:49:23","date_gmt":"2023-07-27T07:49:23","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%b4-%e1%84%8b%e1%85%a9%e1%86%af%e1%84%80%e1%85%a1%e1%84%86%e1%85%b5-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1\/"},"modified":"2023-07-27T07:49:23","modified_gmt":"2023-07-27T07:49:23","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%b4-%e1%84%8b%e1%85%a9%e1%86%af%e1%84%80%e1%85%a1%e1%84%86%e1%85%b5-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1","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%b4-%e1%84%8b%e1%85%a9%e1%86%af%e1%84%80%e1%85%a1%e1%84%86%e1%85%b5-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1\/","title":{"rendered":"Python\uc758 \uc62c\uac00\ubbf8 \ud68c\uadc0(\ub2e8\uacc4\ubcc4)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/\u110b\u1169\u11af\u1100\u1161\u1106\u1175-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uc62c\uac00\ubbf8 \ud68c\uadc0\ub294<\/a> \ub370\uc774\ud130\uc5d0 <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc\u1100\u1169\u11bc\u1109\u1165\u11ab\u1109\u1165\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener noreferrer\">\ub2e4\uc911 \uacf5\uc120\uc131\uc774<\/a> \uc874\uc7ac\ud560 \ub54c \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uac04\ub2e8\ud788 \ub9d0\ud574\uc11c, \ucd5c\uc18c \uc81c\uacf1 \ud68c\uadc0\ub294 \uc794\ucc28 \uc81c\uacf1\ud569(RSS)\uc744 \ucd5c\uc18c\ud654\ud558\ub294 \uacc4\uc218 \ucd94\uc815\uac12\uc744 \ucc3e\uc73c\ub824\uace0 \uc2dc\ub3c4\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>RSS = \u03a3(y <sub>i<\/sub> \u2013 \u0177 <sub>i<\/sub> )2<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u03a3<\/strong> : <em>\ud569\uacc4\ub97c<\/em> \uc758\ubbf8\ud558\ub294 \uadf8\ub9ac\uc2a4 \uae30\ud638<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>y <sub>i<\/sub><\/strong> : <sup>i\ubc88\uc9f8<\/sup> \uad00\uce21\uac12\uc5d0 \ub300\ud55c \uc2e4\uc81c \uc751\ub2f5 \uac12<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0177 <sub>i<\/sub><\/strong> : \ub2e4\uc911\uc120\ud615\ud68c\uadc0\ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \uc608\uce21\ub41c \ubc18\uc751\uac12<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ubc18\ub300\ub85c \uc62c\uac00\ubbf8 \ud68c\uadc0\ub294 \ub2e4\uc74c\uc744 \ucd5c\uc18c\ud654\ud558\ub824\uace0 \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>RSS + \u03bb\u03a3|\u03b2 <sub>j<\/sub> |<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc5ec\uae30\uc11c <em>j\ub294<\/em> 1\uc5d0\uc11c <em>p\uac1c\uc758<\/em> \uc608\uce21 \ubcc0\uc218\ub85c \uc774\ub3d9\ud558\uace0 \u03bb \u2265 0\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubc29\uc815\uc2dd\uc758 \ub450 \ubc88\uc9f8 \ud56d\uc740 <em>\uc778\ucd9c \ud398\ub110\ud2f0<\/em> \ub85c \uc54c\ub824\uc838 \uc788\uc2b5\ub2c8\ub2e4. \uc62c\uac00\ubbf8 \ud68c\uadc0\uc5d0\uc11c\ub294 \uac00\ub2a5\ud55c \uac00\uc7a5 \ub0ae\uc740 MSE(\ud3c9\uade0 \uc81c\uacf1 \uc624\ucc28) \ud14c\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud558\ub294 \u03bb \uac12\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc62c\uac00\ubbf8 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ub2e8\uacc4\ubcc4 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ud544\uc694\ud55c \ud328\ud0a4\uc9c0 \uac00\uc838\uc624\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 Python\uc5d0\uc11c \uc62c\uac00\ubbf8 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ub370 \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \uac00\uc838\uc635\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">from<\/span> numpy <span style=\"color: #008000;\">import<\/span> arange\n<span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">linear_model<\/span> <span style=\"color: #008000;\">import<\/span> LassoCV\n<span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">model_selection<\/span> <span style=\"color: #008000;\">import<\/span> RepeatedKFold<\/strong><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \ub370\uc774\ud130 \ub85c\ub4dc<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 33\uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \uc790\ub3d9\ucc28\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c <strong>mtcars<\/strong> \ub77c\ub294 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. <strong>hp\ub97c<\/strong> \ubc18\uc751 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uace0 \ub2e4\uc74c \ubcc0\uc218\ub97c \uc608\uce21 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">mpg<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubb34\uac8c<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub625<\/span><\/li>\n<li> <span style=\"color: #000000;\">q\ucd08<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc774 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub85c\ub4dc\ud558\uace0 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define URL where data is located<\/span>\nurl = \"https:\/\/raw.githubusercontent.com\/Statorials\/Python-Guides\/main\/mtcars.csv\"\n\n<span style=\"color: #008080;\">#read in data<\/span>\ndata_full = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (url)\n\n<span style=\"color: #008080;\">#select subset of data\n<\/span>data = data_full[[\"mpg\", \"wt\", \"drat\", \"qsec\", \"hp\"]]\n\n<span style=\"color: #008080;\">#view first six rows of data<\/span>\ndata[0:6]\n\n\tmpg wt drat qsec hp\n0 21.0 2.620 3.90 16.46 110\n1 21.0 2.875 3.90 17.02 110\n2 22.8 2.320 3.85 18.61 93\n3 21.4 3.215 3.08 19.44 110\n4 18.7 3,440 3.15 17.02 175\n5 18.1 3.460 2.76 20.22 105<\/strong><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \uc62c\uac00\ubbf8 \ud68c\uadc0 \ubaa8\ub378 \uc801\ud569<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c sklearn\uc758 <a href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.linear_model.RidgeCV.html\" target=\"_blank\" rel=\"noopener noreferrer\">LassoCV()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc62c\uac00\ubbf8 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\uace0 <a href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.model_selection.RepeatedKFold.html\" target=\"_blank\" rel=\"noopener noreferrer\">RepeatedKFold()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec k-\uacb9 \uad50\ucc28 \uac80\uc99d\uc744 \uc218\ud589\ud558\uc5ec \ud398\ub110\ud2f0 \ud56d\uc5d0 \uc0ac\uc6a9\ud560 \ucd5c\uc801\uc758 \uc54c\ud30c \uac12\uc744 \ucc3e\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><em><strong>\ucc38\uace0:<\/strong> Python\uc5d0\uc11c\ub294 &#8220;lambda&#8221; \ub300\uc2e0 &#8220;alpha&#8221;\ub77c\ub294 \uc6a9\uc5b4\uac00 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/em><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 k = 10 \uc811\uae30\ub97c \uc120\ud0dd\ud558\uace0 \uad50\ucc28 \uac80\uc99d \ud504\ub85c\uc138\uc2a4\ub97c 3\ubc88 \ubc18\ubcf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c LassoCV()\ub294 \uae30\ubcf8\uc801\uc73c\ub85c \uc54c\ud30c \uac12 0,1, 1, 10\ub9cc \ud14c\uc2a4\ud2b8\ud55c\ub2e4\ub294 \uc810\uc5d0 \uc720\uc758\ud558\uc138\uc694. \uadf8\ub7ec\ub098 \uc6b0\ub9ac\ub294 0.01 \ub2e8\uc704\ub85c 0\uc5d0\uc11c 1\uae4c\uc9c0 \uc790\uccb4 \uc54c\ud30c \ubc94\uc704\ub97c \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define predictor and response variables\n<\/span>X = data[[\"mpg\", \"wt\", \"drat\", \"qsec\"]]\ny = data[\"hp\"]\n\n<span style=\"color: #008080;\">#define cross-validation method to evaluate model\n<\/span>cv = RepeatedKFold(n_splits= <span style=\"color: #008000;\">10<\/span> , n_repeats= <span style=\"color: #008000;\">3<\/span> , random_state= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#define model\n<\/span>model = LassoCV(alphas= <span style=\"color: #3366ff;\">arange<\/span> (0, 1, 0.01), cv=cv, n_jobs=<\/strong><\/span> <span style=\"color: #008000;\"><strong>-1<\/strong><\/span> <span style=\"color: #000000;\"><strong>)\n\n<span style=\"color: #008080;\">#fit model\n<\/span>model. <span style=\"color: #3366ff;\">fit<\/span> (x,y)\n\n<span style=\"color: #008080;\">#display lambda that produced the lowest test MSE\n<\/span>print( <span style=\"color: #3366ff;\">model.alpha_<\/span> )\n\n0.99<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\ud14c\uc2a4\ud2b8\uc758 MSE\ub97c \ucd5c\uc18c\ud654\ud558\ub294 \ub78c\ub2e4 \uac12\uc740 <strong>0.99<\/strong> \ub85c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>4\ub2e8\uacc4: \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21\ud558\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub9c8\uc9c0\ub9c9\uc73c\ub85c \ucd5c\uc885 \uc62c\uac00\ubbf8 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \uad00\ucc30\uc5d0 \ub300\ud574 \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e4\uc74c \uc18d\uc131\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c8 \uc790\ub3d9\ucc28\ub97c \uc815\uc758\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">mpg: 24<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubb34\uac8c: 2.5<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac00\uaca9: 3.5<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ucd08\ub2f9: 18.5<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc801\ud569 \uc62c\uac00\ubbf8 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc0c8\ub85c\uc6b4 \uad00\uce21\uce58\uc758 <em>HP<\/em> \uac12\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define new observation\n<span style=\"color: #000000;\">new = [24, 2.5, 3.5, 18.5]\n<\/span>\n#predict hp value using lasso regression model\n<span style=\"color: #000000;\">model. <span style=\"color: #3366ff;\">predict<\/span> ([new])\n<\/span>\n<span style=\"color: #000000;\">array([105.63442071])\n<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc785\ub825\ub41c \uac12\uc744 \uae30\ubc18\uc73c\ub85c \ubaa8\ub378\uc740 \uc774 \uc790\ub3d9\ucc28\uc758 <em>HP<\/em> \uac12\uc774 <strong>105.63442071<\/strong> \uc774\ub77c\uace0 \uc608\uce21\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc81c\uc5d0 \uc0ac\uc6a9\ub41c \uc804\uccb4 Python \ucf54\ub4dc\ub294 <a href=\"https:\/\/github.com\/Statorials\/Python-Guides\/blob\/main\/lasso_regression.py\" target=\"_blank\" rel=\"noopener noreferrer\">\uc5ec\uae30\uc5d0\uc11c<\/a> \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc62c\uac00\ubbf8 \ud68c\uadc0\ub294 \ub370\uc774\ud130\uc5d0 \ub2e4\uc911 \uacf5\uc120\uc131\uc774 \uc874\uc7ac\ud560 \ub54c \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uac04\ub2e8\ud788 \ub9d0\ud574\uc11c, \ucd5c\uc18c \uc81c\uacf1 \ud68c\uadc0\ub294 \uc794\ucc28 \uc81c\uacf1\ud569(RSS)\uc744 \ucd5c\uc18c\ud654\ud558\ub294 \uacc4\uc218 \ucd94\uc815\uac12\uc744 \ucc3e\uc73c\ub824\uace0 \uc2dc\ub3c4\ud569\ub2c8\ub2e4. RSS = \u03a3(y i \u2013 \u0177 i )2 \uae08: \u03a3 : \ud569\uacc4\ub97c \uc758\ubbf8\ud558\ub294 \uadf8\ub9ac\uc2a4 \uae30\ud638 y i : i\ubc88\uc9f8 \uad00\uce21\uac12\uc5d0 \ub300\ud55c \uc2e4\uc81c \uc751\ub2f5 \uac12 \u0177 i : \ub2e4\uc911\uc120\ud615\ud68c\uadc0\ubaa8\ub378\uc744 [&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-1198","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\uc758 \uc62c\uac00\ubbf8 \ud68c\uadc0(\ub2e8\uacc4\ubcc4) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e8\uacc4\ubcc4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Python\uc5d0\uc11c \uc62c\uac00\ubbf8 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1174-\u110b\u1169\u11af\u1100\u1161\u1106\u1175-\u1112\u116c\u1100\u1171\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc758 \uc62c\uac00\ubbf8 \ud68c\uadc0(\ub2e8\uacc4\ubcc4) - 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