Struct MLModelMetrics 

pub struct MLModelMetrics<A: Float + Send + Sync> {
    pub accuracy: A,
    pub precision: A,
    pub recall: A,
    pub f1_score: A,
    pub auc_roc: A,
    pub false_positive_rate: A,
    pub training_time: Duration,
    pub inference_time: Duration,
}

Performance metrics for ML models

Fields

accuracy: A

Accuracy of anomaly detection

precision: A

Precision (true positives / (true positives + false positives))

recall: A

Recall (true positives / (true positives + false negatives))

f1_score: A

F1 score

auc_roc: A

Area under ROC curve

false_positive_rate: A

False positive rate

training_time: Duration

Training time

inference_time: Duration

Inference time per sample

Trait Implementations

impl<A: Clone + Float + Send + Sync> Clone for MLModelMetrics<A>

fn clone(&self) -> MLModelMetrics<A>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<A: Debug + Float + Send + Sync> Debug for MLModelMetrics<A>

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

Formats the value using the given formatter.