Weighted F1: Difference between revisions
Thakshashila (talk | contribs) Created page with "= Weighted F1 Score = The '''Weighted F1 Score''' is a metric used in multi-class classification to evaluate model performance by computing the F1 Score for each class and taking the average, weighted by the number of true instances for each class (i.e., the class "support"). It is especially useful when working with '''imbalanced datasets''', where some classes are more frequent than others. == Definition == :<math> \text{Weighted F1} = \sum_{i=1}^{C} w_i \cdot F1_i..." |
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* [[F1 Score]] | * [[F1 Score]] | ||
* [[Macro F1 | * [[Macro F1]] | ||
* [[Micro F1 Score]] | * [[Micro F1 Score]] | ||
* [[Precision]] | * [[Precision]] | ||
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weighted f1 score, f1 score for imbalanced data, machine learning multi-class metrics, class imbalance performance metric, weighted average f1, scikit-learn f1 weighted, macro vs weighted f1 | weighted f1 score, f1 score for imbalanced data, machine learning multi-class metrics, class imbalance performance metric, weighted average f1, scikit-learn f1 weighted, macro vs weighted f1 | ||
[[Category:Artificial Intelligence]] | |||