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