autointent.metrics.scoring.scoring_precision#

autointent.metrics.scoring.scoring_precision(labels, scores)#

Calculate precision for multiclass and multilabel classification.

Uses decision_precision to evaluate decisions.

Parameters:
  • labels (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – Ground truth labels for each sample.

  • scores (autointent.metrics.custom_types.SCORES_VALUE_TYPE) – For each sample, scores for each of n_classes classes.

Returns:

Precision score.

Return type:

float