Hi, I was just wondering why there’s no support for the average per-class accuracy in the scorer functions (if I am not overlooking something). E.g., we have 'f1_macro', 'f1_micro', 'f1_samples', ‘f1_weighted’ but I didn’t see a ‘accuracy_macro’, i.e., (acc.class_1 + acc.class_2 + … + acc.class_n) / n
Would you discourage its usage (in favor of other metrics in imbalanced class problems) or was it simply not implemented, yet? Best, Sebastian ------------------------------------------------------------------------------ Transform Data into Opportunity. Accelerate data analysis in your applications with Intel Data Analytics Acceleration Library. Click to learn more. http://makebettercode.com/inteldaal-eval _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
