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False positive rate (FPR): Difference between revisions
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==What is false positive rate (FPR)?== | ==What is false positive rate (FPR)?== | ||
False Positive Rate (FPR) is a performance [[metric]] used to gauge how often [[classification]] | False Positive Rate (FPR) is a performance [[metric]] used to gauge how often [[classification model]]s incorrectly classify negative instances as positives. Put differently, FPR measures the proportion of negative instances incorrectly classified as positive by the model. Calculated by dividing total false positives by total true negatives and false positives. | ||
false positive rate = [[false positive]]s / (false positives + [[true negative]]s) | false positive rate = [[false positive]]s / (false positives + [[true negative]]s) | ||