squared_error

mlquantify.evaluation.measures.squared_error(prev_real, prev_pred)

Compute the mean squared 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

Mean squared error across all classes.