ML notes

ROC curve characterizes the performance of a binary classifier as its discrimination threshold varies. It plots the true positive rate (TPR) against the false positive rate (FPR). In other words, it plots the recall/sensitivity against the (1-specificity).

 

 

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ML notes

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