Chapter 6 Evaluation Metrics and Evaluation - Springer
(a) Confusion Matrix Recall = TP TP+FN Precision = TP TP+FP True Positive Rate = TP TP+FN False Positive Rate = FP FP+TN (b) De nitions of metrics Figure 2. Common machine learning evaluation metrics Proof. Note that a point in ROC space de nes a unique confusion matrix when the dataset is xed. Since in PR space we ignore TN, one might worry ................
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