{"id":3814,"date":"2023-07-15T09:21:43","date_gmt":"2023-07-15T09:21:43","guid":{"rendered":"https:\/\/statorials.org\/ko\/sklearn-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%80%e1%85%a8%e1%84%89%e1%85%ae\/"},"modified":"2023-07-15T09:21:43","modified_gmt":"2023-07-15T09:21:43","slug":"sklearn-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%80%e1%85%a8%e1%84%89%e1%85%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/sklearn-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%80%e1%85%a8%e1%84%89%e1%85%ae\/","title":{"rendered":"Scikit-learn \ubaa8\ub378\uc5d0\uc11c \ud68c\uadc0 \uacc4\uc218\ub97c \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c scikit-learn\uc73c\ub85c \uad6c\ucd95\ub41c \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \ud68c\uadc0 \uacc4\uc218\ub97c \ucd94\ucd9c\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;\">p.d. <span style=\"color: #3366ff;\">DataFrame<\/span> ( <span style=\"color: #008000;\">zip<\/span> ( <span style=\"color: #3366ff;\">X.columns<\/span> , <span style=\"color: #3366ff;\">model.coef_<\/span> ))\n<\/span><\/span><\/strong><\/pre>\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: Scikit-Learn \ubaa8\ub378\uc5d0\uc11c \ud68c\uadc0 \uacc4\uc218 \ucd94\ucd9c<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\uc218\uc5c5 \uc2dc\uac04, \uc751\uc2dc\ud55c \uc900\ube44 \uc2dc\ud5d8 \ud69f\uc218, \uc218\uc5c5 \uc911 11\uba85\uc758 \ud559\uc0dd\uc774 \ud68d\ub4dd\ud55c \ucd5c\uc885 \uc2dc\ud5d8 \uc131\uc801\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c\uacfc \uac19\uc740 pandas 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;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>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],\n                   ' <span style=\"color: #ff0000;\">exams<\/span> ': [1, 3, 3, 5, 2, 2, 1, 1, 0, 3, 4],\n                   ' <span style=\"color: #ff0000;\">score<\/span> ': [76, 78, 85, 88, 72, 69, 94, 94, 88, 92, 90]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    hours exam 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<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec <strong>\uc2dc\uac04<\/strong> \uacfc <strong>\uc2dc\ud5d8\uc744<\/strong> \uc608\uce21 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uace0 <strong>\uc810\uc218\ub97c<\/strong> \uc751\ub2f5 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec <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\">\ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744<\/a> \ub9de\ucd9c \uc218 \uc788\uc2b5\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;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">linear_model<\/span> <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;\">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<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec <strong>\uc2dc\uac04<\/strong> \ubc0f <strong>\uc2dc\ud5d8<\/strong> \uc758 \ud68c\uadc0 \uacc4\uc218\ub97c \ucd94\ucd9c\ud560 \uc218 \uc788\uc2b5\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: #008080;\">#print regression coefficients\n<span style=\"color: #000000;\">p.d. <span style=\"color: #3366ff;\">DataFrame<\/span> ( <span style=\"color: #008000;\">zip<\/span> ( <span style=\"color: #3366ff;\">X.columns<\/span> , <span style=\"color: #3366ff;\">model.coef_<\/span> ))\n\n            0 1\n0 hours 5.794521\n1 exams -1.157647\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \ubaa8\ub378\uc758 \ub450 \uc608\uce21 \ubcc0\uc218\uc5d0 \ub300\ud55c \ud68c\uadc0 \uacc4\uc218\ub97c \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\uc2dc\uac04<\/strong> \uacc4\uc218 : 5.794521<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\uc2dc\ud5d8<\/strong> \uacc4\uc218 : -1.157647<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc6d0\ud558\ub294 \uacbd\uc6b0 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \uc6d0\ub798 \uac12\uc744 \ucd94\ucd9c\ud560 \uc218\ub3c4 \uc788\uc2b5\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: #008080;\">#print intercept value\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (model. <span style=\"color: #3366ff;\">intercept_<\/span> )\n\n70.48282057040197\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ub7ec\ud55c \uac01 \uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc801\ud569 \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ub300\ud55c \ubc29\uc815\uc2dd\uc744 \uc791\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc810\uc218 = 70.483 + 5.795(\uc2dc\uac04) \u2013 1.158(\uc2dc\ud5d8)<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c \uc774 \ubc29\uc815\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \uacf5\ubd80\ud55c \uc2dc\uac04\uacfc \uce58\ub978 \uc5f0\uc2b5 \uc2dc\ud5d8 \ud69f\uc218\ub97c \uae30\ubc18\uc73c\ub85c \ud559\uc0dd\uc758 \ucd5c\uc885 \uc2dc\ud5d8 \uc131\uc801\uc744 \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, 3\uc2dc\uac04 \uacf5\ubd80\ud558\uace0 2\ubc88\uc758 \uc900\ube44 \uc2dc\ud5d8\uc744 \uce58\ub978 \ud559\uc0dd\uc740 \ucd5c\uc885 \uc131\uc801 <strong>85.55<\/strong> \ub97c \ubc1b\uc544\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc810\uc218 = 70.483 + 5.795(\uc2dc\uac04) \u2013 1.158(\uc2dc\ud5d8)<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc810\uc218 = 70.483 + 5.795(3) \u2013 1.158(2)<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc810\uc218 = 85.55<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong> <a href=\"https:\/\/statorials.org\/ko\/\u1112\u116c\u1100\u1171-\u1100\u1168\u1109\u116e\u1105\u1173\u11af-\u1112\u1162\u1109\u1165\u11a8\u1112\u1161\u1102\u1173\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\/\" target=\"_blank\" rel=\"noopener\">\ud68c\uadc0 \uacc4\uc218\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95<\/a><\/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 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>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c scikit-learn\uc73c\ub85c \uad6c\ucd95\ub41c \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \ud68c\uadc0 \uacc4\uc218\ub97c \ucd94\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. p.d. DataFrame ( zip ( X.columns , model.coef_ )) \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: Scikit-Learn \ubaa8\ub378\uc5d0\uc11c \ud68c\uadc0 \uacc4\uc218 \ucd94\ucd9c \uc218\uc5c5 \uc2dc\uac04, \uc751\uc2dc\ud55c \uc900\ube44 \uc2dc\ud5d8 \ud69f\uc218, \uc218\uc5c5 \uc911 11\uba85\uc758 \ud559\uc0dd\uc774 \ud68d\ub4dd\ud55c \ucd5c\uc885 \uc2dc\ud5d8 \uc131\uc801\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c\uacfc [&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-3814","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>Scikit-Learn \ubaa8\ub378\uc5d0\uc11c \ud68c\uadc0 \uacc4\uc218\ub97c \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95 - 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