specificity

What is False Positive Rate (FPR)?

False Positive Rate measures the proportion of actual negative observations that were predicted to be positive.

The specificity is the analog of recall for the negative class.

One of the most useful tools for evaluating the performance of any classification algorithm is the confusion matrix.

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