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False Positive Ratio

In fraud detection, a false positive ratio is a statistical metric for measuring the accuracy of predicting fraudulent accounts in a particular data set and therefore helps to define what is a “good” model. It is expressed as the number of false positives that were flagged for each true incident of fraud. A false positive ratio of 2:1 means that two accounts were flagged, and one was actually fraudulent.