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Class: Aws::FraudDetector::Types::TrainingMetrics
- Inherits:
-
Struct
- Object
- Struct
- Aws::FraudDetector::Types::TrainingMetrics
- Defined in:
- (unknown)
Overview
The training metric details.
Returned by:
Instance Attribute Summary collapse
-
#auc ⇒ Float
The area under the curve.
-
#metric_data_points ⇒ Array<Types::MetricDataPoint>
The data points details.
Instance Attribute Details
#auc ⇒ Float
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.
#metric_data_points ⇒ Array<Types::MetricDataPoint>
The data points details.