normalized_relative_absolute_error#
- mlquantify.evaluation.measures.normalized_relative_absolute_error(prev_real, prev_pred)[source]#
Compute the normalized relative absolute error between the real and predicted prevalences.
- Parameters:
- prev_realarray-like of shape (n_classes,)
True prevalence values for each class.
- prev_predarray-like of shape (n_classes,)
Predicted prevalence values for each class.
- Returns:
- errorfloat
Normalized relative absolute error across all classes.