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fprThe false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
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precisionThe percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
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thresholdThe 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.
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tprThe true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.
Model performance metrics data points.