SE#
- mlquantify.metrics.SE(prev_pred, prev_real)[source]#
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.