{"id":1158,"date":"2023-07-27T11:17:42","date_gmt":"2023-07-27T11:17:42","guid":{"rendered":"https:\/\/statorials.org\/hi\/%e0%a4%b0%e0%a5%89%e0%a4%95-%e0%a4%95%e0%a4%b0%e0%a5%8d%e0%a4%b5-ggplot2\/"},"modified":"2023-07-27T11:17:42","modified_gmt":"2023-07-27T11:17:42","slug":"%e0%a4%b0%e0%a5%89%e0%a4%95-%e0%a4%95%e0%a4%b0%e0%a5%8d%e0%a4%b5-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/%e0%a4%b0%e0%a5%89%e0%a4%95-%e0%a4%95%e0%a4%b0%e0%a5%8d%e0%a4%b5-ggplot2\/","title":{"rendered":"Ggplot2 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 roc \u0935\u0915\u094d\u0930 \u0915\u0948\u0938\u0947 \u092a\u094d\u0932\u0949\u091f \u0915\u0930\u0947\u0902 (\u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0938\u093e\u0925)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/hi\/\u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915-\u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928-1\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928<\/a> \u090f\u0915 \u0938\u093e\u0902\u0916\u094d\u092f\u093f\u0915\u0940\u092f \u092a\u0926\u094d\u0927\u0924\u093f \u0939\u0948 \u091c\u093f\u0938\u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0939\u092e \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u092e\u0949\u0921\u0932 \u0915\u094b \u092b\u093f\u091f \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902 \u091c\u092c \u092a\u094d\u0930\u0924\u093f\u0915\u094d\u0930\u093f\u092f\u093e \u091a\u0930 \u0926\u094d\u0935\u093f\u0906\u0927\u093e\u0930\u0940 \u0939\u094b\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u092e\u0942\u0932\u094d\u092f\u093e\u0902\u0915\u0928 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f \u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u092e\u0949\u0921\u0932 \u0921\u0947\u091f\u093e \u0938\u0947\u091f \u092e\u0947\u0902 \u0915\u093f\u0924\u0928\u0940 \u0905\u091a\u094d\u091b\u0940 \u0924\u0930\u0939 \u092b\u093f\u091f \u092c\u0948\u0920\u0924\u093e \u0939\u0948, \u0939\u092e \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0926\u094b \u092e\u0948\u091f\u094d\u0930\u093f\u0915\u094d\u0938 \u0926\u0947\u0916 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932\u0924\u093e:<\/strong> \u0938\u0902\u092d\u093e\u0935\u0928\u093e \u0939\u0948 \u0915\u093f \u092e\u0949\u0921\u0932 \u0915\u093f\u0938\u0940 \u0905\u0935\u0932\u094b\u0915\u0928 \u0915\u0947 \u0932\u093f\u090f \u0938\u0915\u093e\u0930\u093e\u0924\u094d\u092e\u0915 \u092a\u0930\u093f\u0923\u093e\u092e \u0915\u0940 \u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u0915\u0930\u0924\u093e \u0939\u0948 \u091c\u092c \u092a\u0930\u093f\u0923\u093e\u092e \u0935\u093e\u0938\u094d\u0924\u0935 \u092e\u0947\u0902 \u0938\u0915\u093e\u0930\u093e\u0924\u094d\u092e\u0915 \u0939\u094b\u0924\u093e \u0939\u0948\u0964<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0935\u093f\u0936\u093f\u0937\u094d\u091f\u0924\u093e:<\/strong> \u0938\u0902\u092d\u093e\u0935\u0928\u093e \u0939\u0948 \u0915\u093f \u092e\u0949\u0921\u0932 \u0915\u093f\u0938\u0940 \u0905\u0935\u0932\u094b\u0915\u0928 \u0915\u0947 \u0932\u093f\u090f \u0928\u0915\u093e\u0930\u093e\u0924\u094d\u092e\u0915 \u092a\u0930\u093f\u0923\u093e\u092e \u0915\u0940 \u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u0915\u0930\u0924\u093e \u0939\u0948 \u091c\u092c \u092a\u0930\u093f\u0923\u093e\u092e \u0935\u093e\u0938\u094d\u0924\u0935 \u092e\u0947\u0902 \u0928\u0915\u093e\u0930\u093e\u0924\u094d\u092e\u0915 \u0939\u094b\u0924\u093e \u0939\u0948\u0964<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0907\u0928 \u0926\u094b \u092e\u0947\u091f\u094d\u0930\u093f\u0915\u094d\u0938 \u0915\u0940 \u0915\u0932\u094d\u092a\u0928\u093e \u0915\u0930\u0928\u0947 \u0915\u093e \u090f\u0915 \u0938\u0930\u0932 \u0924\u0930\u0940\u0915\u093e \u090f\u0915 <strong>\u0906\u0930\u0913\u0938\u0940 \u0935\u0915\u094d\u0930<\/strong> \u092c\u0928\u093e\u0928\u093e \u0939\u0948, \u091c\u094b \u090f\u0915 \u0917\u094d\u0930\u093e\u092b \u0939\u0948 \u091c\u094b \u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u092e\u0949\u0921\u0932 \u0915\u0940 \u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932\u0924\u093e \u0914\u0930 \u0935\u093f\u0936\u093f\u0937\u094d\u091f\u0924\u093e \u0915\u094b \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f ggplot2 \u0935\u093f\u091c\u093c\u0941\u0905\u0932\u093e\u0907\u091c\u093c\u0947\u0936\u0928 \u092a\u0948\u0915\u0947\u091c \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 R \u092e\u0947\u0902 ROC \u0935\u0915\u094d\u0930 \u0915\u0948\u0938\u0947 \u092c\u0928\u093e\u090f\u0902 \u0914\u0930 \u0935\u094d\u092f\u093e\u0916\u094d\u092f\u093e \u0915\u0930\u0947\u0902\u0964<\/span><\/p>\n<h3> <strong>\u0909\u0926\u093e\u0939\u0930\u0923: ggplot2 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 ROC \u0935\u0915\u094d\u0930<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u092e\u093e\u0928 \u0932\u0940\u091c\u093f\u090f \u0915\u093f \u0939\u092e \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u092e\u0949\u0921\u0932 \u0915\u094b \u0906\u0930 \u092e\u0947\u0902 \u092b\u093f\u091f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load <em>Default<\/em> dataset from ISLR book<\/span>\ndata &lt;- ISLR::Default\n\n<span style=\"color: #008080;\">#divide dataset into training and test set\n<\/span>set.seed(1)\nsample &lt;- sample(c( <span style=\"color: #008000;\">TRUE<\/span> , <span style=\"color: #008000;\">FALSE<\/span> ), <span style=\"color: #3366ff;\">nrow<\/span> (data), <span style=\"color: #3366ff;\">replace<\/span> = <span style=\"color: #008000;\">TRUE<\/span> , <span style=\"color: #3366ff;\">prob<\/span> =c(0.7,0.3))\ntrain &lt;- data[sample, ]\ntest &lt;- data[!sample, ]\n\n<span style=\"color: #008080;\">#fit logistic regression model to training set<\/span>\nmodel &lt;- glm(default~student+balance+income, family=\" <span style=\"color: #008000;\">binomial<\/span> \", data=train)\n\n<span style=\"color: #008080;\">#use model to make predictions on test set<\/span>\npredicted &lt;- predict(model, test, type=\" <span style=\"color: #008000;\">response<\/span> \")\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u092a\u0930\u0940\u0915\u094d\u0937\u0923 \u0938\u0947\u091f \u092a\u0930 \u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u092e\u0949\u0921\u0932 \u0915\u0947 \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u0928 \u0915\u0940 \u0915\u0932\u094d\u092a\u0928\u093e \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f, \u0939\u092e <a href=\"https:\/\/www.rdocumentation.org\/packages\/pROC\/versions\/1.16.2\/topics\/ggroc.roc\" target=\"_blank\" rel=\"noopener noreferrer\">pROC \u092a\u0948\u0915\u0947\u091c<\/a> \u0938\u0947 <strong>ggroc()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u090f\u0915 ROC \u092a\u094d\u0932\u0949\u091f \u092c\u0928\u093e \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load necessary packages<\/span>\n<span style=\"color: #993300;\">library<\/span> (ggplot2)\n<span style=\"color: #993300;\">library<\/span> (pROC)\n\n<span style=\"color: #008080;\">#define object to plot\n<span style=\"color: #000000;\">rocobj &lt;- roc(test$default, predicted)\n<\/span>\n#create ROC plot\n<span style=\"color: #000000;\">ggroc(rocobj)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11613 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/rocggplot1.png\" alt=\"Ggplot2 \u092e\u0947\u0902 ROC \u0935\u0915\u094d\u0930\" width=\"445\" height=\"439\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">y-\u0905\u0915\u094d\u0937 \u092e\u0949\u0921\u0932 \u0915\u0940 \u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932\u0924\u093e (\u0935\u093e\u0938\u094d\u0924\u0935\u093f\u0915 \u0938\u0915\u093e\u0930\u093e\u0924\u094d\u092e\u0915 \u0926\u0930) \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948 \u0914\u0930 x-\u0905\u0915\u094d\u0937 \u092e\u0949\u0921\u0932 \u0915\u0940 \u0935\u093f\u0936\u093f\u0937\u094d\u091f\u0924\u093e (\u0935\u093e\u0938\u094d\u0924\u0935\u093f\u0915 \u0928\u0915\u093e\u0930\u093e\u0924\u094d\u092e\u0915 \u0926\u0930) \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u0939\u092e \u092a\u094d\u0932\u0949\u091f \u092e\u0947\u0902 \u0938\u094d\u091f\u093e\u0907\u0932 \u091c\u094b\u0921\u093c \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u0914\u0930 \u092a\u094d\u0932\u0949\u091f \u0915\u0947 \u090f\u092f\u0942\u0938\u0940 (\u0935\u0915\u094d\u0930 \u0915\u0947 \u0928\u0940\u091a\u0947 \u0915\u093e \u0915\u094d\u0937\u0947\u0924\u094d\u0930) \u092f\u0941\u0915\u094d\u0924 \u090f\u0915 \u0936\u0940\u0930\u094d\u0937\u0915 \u092d\u0940 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load necessary packages<\/span>\n<span style=\"color: #993300;\">library<\/span> (ggplot2)\n<span style=\"color: #993300;\">library<\/span> (pROC)\n\n<span style=\"color: #008080;\">#define object to plot and calculate AUC\n<\/span>rocobj &lt;- roc(test$default, predicted)\nauc &lt;- <span style=\"color: #3366ff;\">round<\/span> (auc(test$default, predicted), <span style=\"color: #3366ff;\">4<\/span> )\n\n<span style=\"color: #008080;\">#create ROC plot\n<\/span>ggroc(rocobj, color = ' <span style=\"color: #008000;\">steelblue<\/span> ', size = <span style=\"color: #008000;\">2<\/span> ) +\n  ggtitle( <span style=\"color: #3366ff;\">paste0<\/span> (' <span style=\"color: #008000;\">ROC Curve<\/span> ', ' <span style=\"color: #008000;\">(AUC =<\/span> ', auc, ' <span style=\"color: #008000;\">)<\/span> '))<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11614 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/rocggplot2.png\" alt=\"ggplot2 \u092e\u0947\u0902 AUC \u0915\u0947 \u0938\u093e\u0925 ROC \u0935\u0915\u094d\u0930\" width=\"452\" height=\"450\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u0906\u092a \u0915\u0925\u093e\u0928\u0915 \u0915\u0940 \u0925\u0940\u092e \u0915\u094b \u0938\u0902\u0936\u094b\u0927\u093f\u0924 \u092d\u0940 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create ROC plot with minimal theme\n<\/span>ggroc(rocobj, color = ' <span style=\"color: #008000;\">steelblue<\/span> ', size = <span style=\"color: #008000;\">2<\/span> ) +\n  ggtitle( <span style=\"color: #3366ff;\">paste0<\/span> (' <span style=\"color: #008000;\">ROC Curve<\/span> ', ' <span style=\"color: #008000;\">(AUC =<\/span> ', auc, ' <span style=\"color: #008000;\">)<\/span> ')) +\n  theme_minimal()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11615 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/rocggplot3.png\" alt=\"Ggplot2 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 R \u092e\u0947\u0902 ROC \u0935\u0915\u094d\u0930\" width=\"466\" height=\"466\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u0938\u0930\u094d\u0935\u094b\u0924\u094d\u0924\u092e ggplot2 \u0925\u0940\u092e \u0915\u0940 \u092e\u093e\u0930\u094d\u0917\u0926\u0930\u094d\u0936\u093f\u0915\u093e \u0915\u0947 \u0932\u093f\u090f <a href=\"https:\/\/statorials.org\/hi\/\u0938\u0930\u094d\u0935\u0936\u094d\u0930\u0947\u0937\u094d\u0920-ggplot2-\u0925\u0940\u092e\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0907\u0938 \u0932\u0947\u0916<\/a> \u0915\u093e \u0938\u0902\u0926\u0930\u094d\u092d \u0932\u0947\u0902\u0964<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u090f\u0915 \u0938\u093e\u0902\u0916\u094d\u092f\u093f\u0915\u0940\u092f \u092a\u0926\u094d\u0927\u0924\u093f \u0939\u0948 \u091c\u093f\u0938\u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0939\u092e \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u092e\u0949\u0921\u0932 \u0915\u094b \u092b\u093f\u091f \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902 \u091c\u092c \u092a\u094d\u0930\u0924\u093f\u0915\u094d\u0930\u093f\u092f\u093e \u091a\u0930 \u0926\u094d\u0935\u093f\u0906\u0927\u093e\u0930\u0940 \u0939\u094b\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u092e\u0942\u0932\u094d\u092f\u093e\u0902\u0915\u0928 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f \u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u092e\u0949\u0921\u0932 \u0921\u0947\u091f\u093e \u0938\u0947\u091f \u092e\u0947\u0902 \u0915\u093f\u0924\u0928\u0940 \u0905\u091a\u094d\u091b\u0940 \u0924\u0930\u0939 \u092b\u093f\u091f \u092c\u0948\u0920\u0924\u093e \u0939\u0948, \u0939\u092e \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0926\u094b \u092e\u0948\u091f\u094d\u0930\u093f\u0915\u094d\u0938 \u0926\u0947\u0916 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902: 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