[KongchangAI]
ConceptMacro-averaging

Macro-Average

An aggregation method for metrics in multiclass evaluation that first computes precision, recall and F1 score separately for each class and then takes their arithmetic mean. Each class carries equal weight, making it suitable for class-imbalanced settings.

Timeline (last 90 days)

Oct 14

Macro averaging is a commonly used metric aggregation method in multi-class evaluation: precision, recall, and F1 score are first calculated separately for each class, and then the results for all classes are arithmetically averaged, with each class weighted equally.

Unverified50%

All Facts (1)

Source Articles