BPt.EvalResults.std_scores

property EvalResults.std_scores

This parameter stores the standard deviation scores as a dictionary of values, where each dictionary is indexed by the name of the scorer, and value contains the standard deviation across evaluation folds for that scorer.

The default scorer key stores the micro standard deviation, but in the case that macro standard deviation differs, i.e., in the case of multiple repeats in an evaluation, then a separate macro standard deviation will be stored under the name of the scorer with _macro appended to the key.

For example if a 3-fold twice repeated evaluation was run, with just r2 as the scorer, this parameter might look something like:

self.std_scores = {'r2': .5, 'r2_macro': .01}