FPR

FPR is the acronym for False Positive Rate.

What is the acronym FPR? 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:

\(\text{FPR} = \frac{\text{False Positives}}{(\text{False Positives} + \text{True Negatives})}\)

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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