Undefined Metric warning when running federated learning simulations

Question

I am getting this undefined metric warning error: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use zero_division parameter to control this behavior. During my FL simulations

Due to the error warnings the precision, F1-score, and recall results are low

Please provide enough code so others can better understand or reproduce the problem. — Community, May 16 '23 at 10:41

score 0 · Answer 1 · answered May 16 '23 at 13:21

Your issue is probably related to this: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples

You probably have labels in your test set, which do not appear in your generated predictions for the same set.

Undefined Metric warning when running federated learning simulations

1 Answers1