class Aws::FraudDetector::Types::TrainingMetrics
The training metric details.
@!attribute [rw] auc
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. @return [Float]
@!attribute [rw] metric_data_points
The data points details. @return [Array<Types::MetricDataPoint>]
@see docs.aws.amazon.com/goto/WebAPI/frauddetector-2019-11-15/TrainingMetrics AWS API Documentation
Constants
- SENSITIVE