absolute_error#
- mlquantify.evaluation.measures.absolute_error(prev_real, prev_pred)[source]#
Compute the absolute error for each class or a dictionary of errors if input is a dictionary.
- Parameters:
- prev_realarray-like or dict
True prevalence values for each class. If a dictionary, keys are class names, and values are prevalences.
- prev_predarray-like or dict
Predicted prevalence values for each class. If a dictionary, keys are class names, and values are prevalences.
- Returns:
- errorarray-like or dict
Absolute error for each class. If input is a dictionary, returns a dictionary with errors for each class.