Jump to Content

The training metric details.

Hierarchy

  • TrainingMetrics

Properties

Properties

auc?: 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.

metricDataPoints?: MetricDataPoint[]

The data points details.