Struct tangram_metrics::MulticlassClassificationMetricsOutput

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,
}

The output from MulticlassClassificationMetrics.

Fields

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.

Trait Implementations

impl Debug for MulticlassClassificationMetricsOutput

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

Formats the value using the given formatter.