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TrainingMetrics
The training metric details.
Contents
- 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.
Type: Float
Required: No
- metricDataPoints
-
The data points details.
Type: Array of MetricDataPoint objects
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
