TrainingMetrics

The training metric details.

Types

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class Builder
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object Companion

Properties

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val auc: Float?

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.

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The data points details.

Functions

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inline fun copy(block: TrainingMetrics.Builder.() -> Unit = {}): TrainingMetrics
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open operator override fun equals(other: Any?): Boolean
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open override fun hashCode(): Int
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open override fun toString(): String