Model performance metrics data points.
Contents
- fpr
-
The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
Type: Float
Required: No
- precision
-
The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
Type: Float
Required: No
- threshold
-
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.
Type: Float
Required: No
- tpr
-
The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.
Type: Float
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
