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Interface TrainingMetrics

The training metric details.

Hierarchy

  • TrainingMetrics

Index

Properties

Properties

Optional auc

auc: undefined | number

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.

Optional metricDataPoints

metricDataPoints: MetricDataPoint[]

The data points details.