The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.
The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.