So sánh phương pháp

	Độ chính xác	Độ thu hồi (độ nhạy)
Lĩnh vực	Đánh giá mô hình	Đánh giá mô hình
Họ	MCDM	MCDM
Năm ra đời	20th century	20th century
Người khởi xướng	Historical statistical foundations	Historical statistical foundations
Loại	Evaluation metric	Evaluation metric
Công trình gốc	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
Tên gọi khác	Overall Accuracy, Correct Classification Rate	Sensitivity, True Positive Rate, TPR
Liên quan	5	5
Tóm tắt	Accuracy is the proportion of correct predictions among the total number of predictions made by a classification model. It is the most intuitive performance metric and measures how often the classifier makes correct predictions overall, regardless of class.	Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly.