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TrainingMetrics

import type { TrainingMetrics } from "https://aws-api.deno.dev/v0.3/services/frauddetector.ts?docs=full";

The training metric details.

interface TrainingMetrics {
auc?: number | null;
metricDataPoints?: MetricDataPoint[] | null;
}

§Properties

§
auc?: number | null
[src]

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[] | null
[src]

The data points details.