{"id":1574,"date":"2023-07-25T19:42:15","date_gmt":"2023-07-25T19:42:15","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d8%b1%d8%aa%d8%a8%d8%a7%d9%83-%d8%a7%d9%84%d9%85%d8%b5%d9%81%d9%88%d9%81%d8%a9-%d9%81%d9%8a-%d8%b5\/"},"modified":"2023-07-25T19:42:15","modified_gmt":"2023-07-25T19:42:15","slug":"%d8%a7%d8%b1%d8%aa%d8%a8%d8%a7%d9%83-%d8%a7%d9%84%d9%85%d8%b5%d9%81%d9%88%d9%81%d8%a9-%d9%81%d9%8a-%d8%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d8%b1%d8%aa%d8%a8%d8%a7%d9%83-%d8%a7%d9%84%d9%85%d8%b5%d9%81%d9%88%d9%81%d8%a9-%d9%81%d9%8a-%d8%b5\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0631\u062a\u0628\u0627\u0643 \u0641\u064a \u0644\u063a\u0629 r (\u062e\u0637\u0648\u0629 \u0628\u062e\u0637\u0648\u0629)"},"content":{"rendered":"

<\/p>\n

\n

\u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a<\/a> \u0647\u0648 \u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647 \u0639\u0646\u062f\u0645\u0627 \u064a\u0643\u0648\u0646 \u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629 \u062b\u0646\u0627\u0626\u064a\u064b\u0627.<\/span><\/p>\n

\u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0644\u062a\u0642\u064a\u064a\u0645 \u062c\u0648\u062f\u0629 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a \u0647\u064a \u0625\u0646\u0634\u0627\u0621 \u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0631\u062a\u0628\u0627\u0643<\/strong> \u060c \u0648\u0647\u064a \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u062c\u062f\u0648\u0644 2 \u00d7 2 \u064a\u0648\u0636\u062d \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 \u0644\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0639\u0644\u064a\u0629 \u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631.<\/span> <\/p>\n

\"\"<\/p>\n

\u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u062e\u0637\u0648\u0629 \u0628\u062e\u0637\u0648\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0631\u062a\u0628\u0627\u0643 \u0641\u064a R.<\/span><\/p>\n

\u0627\u0644\u062e\u0637\u0648\u0629 1: \u0645\u0644\u0627\u0621\u0645\u0629 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a<\/strong><\/span><\/h3>\n

\u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0633\u0648\u0641 \u0646\u0633\u062a\u062e\u062f\u0645 \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u064a\u0629<\/strong> \u0645\u0646 \u062d\u0632\u0645\u0629 ISLR<\/strong> . \u0633\u0646\u0633\u062a\u062e\u062f\u0645 \u062d\u0627\u0644\u0629 \u0627\u0644\u0637\u0627\u0644\u0628 \u0648\u0627\u0644\u0631\u0635\u064a\u062f \u0627\u0644\u0628\u0646\u0643\u064a \u0648\u0627\u0644\u062f\u062e\u0644 \u0627\u0644\u0633\u0646\u0648\u064a \u0644\u0644\u062a\u0646\u0628\u0624 \u0628\u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629 \u062a\u062e\u0644\u0641 \u0634\u062e\u0635 \u0645\u0639\u064a\u0646 \u0639\u0646 \u0633\u062f\u0627\u062f \u0642\u0631\u0636\u0647.<\/span><\/p>\n

\u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0645\u0644\u0627\u0621\u0645\u0629 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a \u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0647\u0630\u0647:<\/span><\/p>\n

 #load necessary packages\n<\/span>library<\/span> (caret)\nlibrary<\/span> (InformationValue)\nlibrary<\/span> (ISLR)\n\n#load dataset\n<\/span>data <-Default\n\n#split dataset into training and testing set\n<\/span>set. seeds<\/span> (1)\nsample <- sample(c(TRUE, FALSE), nrow(data), replace= TRUE<\/span> , prob=c(0.7,0.3))\ntrain <- data[sample, ]\ntest <- data[!sample, ]\n\n#fit logistic regression model\n<\/span>model <- glm(default~student+balance+income, family=\" binomial<\/span> \", data=train)\n<\/strong><\/pre>\n
 \u0627\u0644\u062e\u0637\u0648\u0629 2: \u0625\u0646\u0634\u0627\u0621 \u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0643<\/strong><\/span><\/h3>\n
 \u0628\u0639\u062f \u0630\u0644\u0643\u060c \u0633\u0648\u0641 \u0646\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u062f\u0627\u0644\u0629\u0627\u0631\u062a\u0628\u0627\u0643\u0645\u0627\u062a\u0631\u064a\u0643\u0633()<\/strong> \u0645\u0646 \u062d\u0632\u0645\u0629 \u0639\u0644\u0627\u0645\u0629 \u0627\u0644\u0625\u0642\u062d\u0627\u0645<\/strong> \u0644\u0625\u0646\u0634\u0627\u0621 \u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0631\u062a\u0628\u0627\u0643:<\/span><\/p>\n
 #use model to predict probability of default\npredicted <- predict(model, test, type=\"response\")\n<\/span>\n#convert defaults from \"Yes\" and \"No\" to 1's and 0's\ntest$default <- ifelse(test$default==\" Yes<\/span> \", 1, 0)\n<\/span>\n#find optimal cutoff probability to use to maximize accuracy\noptimal <- optimalCutoff(test$default, predicted)[1]\n<\/span>\n#create confusion matrix\nconfusionMatrix(test$default, predicted)\n\n     0 1\n0 2912 64\n1 21 39\n<\/span><\/span><\/strong><\/pre>\n
 \u0627\u0644\u062e\u0637\u0648\u0629 3: \u062a\u0642\u064a\u064a\u0645 \u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0643<\/strong><\/span><\/h3>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u0642\u0627\u064a\u064a\u0633 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0643:<\/span><\/p>\n
    \n
  •  \u0627\u0644\u062d\u0633\u0627\u0633\u064a\u0629:<\/strong> “\u0627\u0644\u0645\u0639\u062f\u0644 \u0627\u0644\u0625\u064a\u062c\u0627\u0628\u064a \u0627\u0644\u062d\u0642\u064a\u0642\u064a” – \u0627\u0644\u0646\u0633\u0628\u0629 \u0627\u0644\u0645\u0626\u0648\u064a\u0629 \u0644\u0644\u0623\u0641\u0631\u0627\u062f \u0627\u0644\u0630\u064a\u0646 \u062a\u0648\u0642\u0639 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0628\u0634\u0643\u0644 \u0635\u062d\u064a\u062d \u0623\u0646\u0647\u0645 \u0633\u064a\u062a\u062e\u0644\u0641\u0648\u0646 \u0639\u0646 \u0627\u0644\u0633\u062f\u0627\u062f.<\/span><\/li>\n
  •  \u0627\u0644\u062e\u0635\u0648\u0635\u064a\u0629:<\/strong> “\u0627\u0644\u0645\u0639\u062f\u0644 \u0627\u0644\u0633\u0644\u0628\u064a \u0627\u0644\u062d\u0642\u064a\u0642\u064a” – \u0627\u0644\u0646\u0633\u0628\u0629 \u0627\u0644\u0645\u0626\u0648\u064a\u0629 \u0644\u0644\u0623\u0641\u0631\u0627\u062f \u0627\u0644\u0630\u064a\u0646 \u062a\u0648\u0642\u0639 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0628\u0634\u0643\u0644 \u0635\u062d\u064a\u062d \u0623\u0646\u0647\u0645 \u0644\u0646<\/em> \u064a\u062a\u062e\u0644\u0641\u0648\u0627 \u0639\u0646 \u0627\u0644\u0633\u062f\u0627\u062f.<\/span><\/li>\n
  •  \u0625\u062c\u0645\u0627\u0644\u064a \u0645\u0639\u062f\u0644 \u0627\u0644\u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u062e\u0627\u0637\u0626:<\/strong> \u0627\u0644\u0646\u0633\u0628\u0629 \u0627\u0644\u0645\u0626\u0648\u064a\u0629 \u0644\u0625\u062c\u0645\u0627\u0644\u064a \u0633\u0648\u0621 \u0627\u0644\u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u0630\u064a \u0642\u0627\u0645 \u0628\u0647 \u0627\u0644\u0646\u0645\u0648\u0630\u062c.<\/span><\/li>\n<\/ul>\n
     \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0647\u0630\u0647 \u0627\u0644\u0645\u0642\u0627\u064a\u064a\u0633:<\/span><\/p>\n
     #calculate sensitivity<\/span>\nsensitivity(test$default, predicted)\n\n[1] 0.3786408\n\n#calculate specificity\n<\/span>specificity(test$default, predicted)\n\n[1] 0.9928401\n\n#calculate total misclassification error rate\n<\/span>misClassError(test$default, predicted, threshold<\/span> =optimal)\n\n[1] 0.027<\/strong><\/span><\/pre>\n
     \u0648\u064a\u0628\u0644\u063a \u0625\u062c\u0645\u0627\u0644\u064a \u0645\u0639\u062f\u0644 \u0627\u0644\u062e\u0637\u0623 \u0641\u064a \u0627\u0644\u062a\u0635\u0646\u064a\u0641 2.7%<\/strong> \u0644\u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c.<\/span><\/p>\n
     \u0648\u0628\u0634\u0643\u0644 \u0639\u0627\u0645\u060c \u0643\u0644\u0645\u0627 \u0627\u0646\u062e\u0641\u0636 \u0647\u0630\u0627 \u0627\u0644\u0645\u0639\u062f\u0644\u060c \u0632\u0627\u062f\u062a \u0642\u062f\u0631\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0639\u0644\u0649 \u0627\u0644\u062a\u0646\u0628\u0624 \u0628\u0627\u0644\u0646\u062a\u0627\u0626\u062c. \u0648\u0628\u0627\u0644\u062a\u0627\u0644\u064a \u0641\u0625\u0646 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0628\u0627\u0644\u0630\u0627\u062a \u0623\u062b\u0628\u062a \u0641\u0639\u0627\u0644\u064a\u062a\u0647 \u0627\u0644\u0643\u0628\u064a\u0631\u0629 \u0641\u064a \u0627\u0644\u062a\u0646\u0628\u0624 \u0628\u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u0641\u0631\u062f \u0633\u0648\u0641 \u064a\u062a\u062e\u0644\u0641 \u0639\u0646 \u0627\u0644\u0633\u062f\u0627\u062f \u0623\u0645 \u0644\u0627.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
    \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a \u0647\u0648 \u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647 \u0639\u0646\u062f\u0645\u0627 \u064a\u0643\u0648\u0646 \u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629 \u062b\u0646\u0627\u0626\u064a\u064b\u0627. \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0644\u062a\u0642\u064a\u064a\u0645 \u062c\u0648\u062f\u0629 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a \u0647\u064a \u0625\u0646\u0634\u0627\u0621 \u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0631\u062a\u0628\u0627\u0643 \u060c \u0648\u0647\u064a \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u062c\u062f\u0648\u0644 2 \u00d7 2 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