tangram_metrics

Struct MulticlassClassificationMetricsOutput

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pub struct MulticlassClassificationMetricsOutput {
    pub class_metrics: Vec<ClassMetrics>,
    pub accuracy: f32,
    pub precision_unweighted: f32,
    pub precision_weighted: f32,
    pub recall_unweighted: f32,
    pub recall_weighted: f32,
}
Expand description

The output from MulticlassClassificationMetrics.

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§class_metrics: Vec<ClassMetrics>

The class metrics contain class specific metrics.

§accuracy: f32

The accuracy is the fraction of all of the predictions that are correct.

§precision_unweighted: f32

The unweighted precision equal to the mean of each class’s precision.

§precision_weighted: f32

The weighted precision is a weighted mean of each class’s precision weighted by the fraction of the total examples in the class.

§recall_unweighted: f32

The unweighted recall equal to the mean of each class’s recall.

§recall_weighted: f32

The weighted recall is a weighted mean of each class’s recall weighted by the fraction of the total examples in the class.

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impl Debug for MulticlassClassificationMetricsOutput

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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