FPR

FPR is the acronym for False Positive Rate.

False Positive Rate

A performance metric used to evaluate the effectiveness of a binary classification model. It measures the proportion of actual negative cases that are incorrectly identified as positive by the model.

ROC Curve and AuC — Source: ROC Curve Explained In One Picture

The False Positive Rate is calculated as follows:

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Where:

False Positives (FP) are the number of negative cases that were incorrectly classified as positive by the model.
True Negatives (TN) are the number of negative cases that were correctly classified by the model.

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FPR

False Positive Rate

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