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pub struct TrainingMetrics {
    pub auc: Option<f32>,
    pub metric_data_points: Option<Vec<MetricDataPoint>>,
}
Expand description

The training metric details.

Fields

auc: Option<f32>

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: Option<Vec<MetricDataPoint>>

The data points details.

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