TrainingMetrics - Amazon Fraud Detector


The training metric details.



The area under the curve. This summarizes true positive rate (TPR) and false positive rate (FPR) across all possible model score thresholds. A model with no predictive power has an AUC of 0.5, whereas a perfect model has a score of 1.0.

Type: Float

Required: No


The data points details.

Type: Array of MetricDataPoint objects

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: