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