### What is False Positive Rate (FPR)?

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

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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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