False Positive Rate
FPR is the acronym for 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.
The False Positive Rate is calculated as follows:
- 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.
- Abbreviation: FPR