Macro F1: Difference between revisions
Thakshashila (talk | contribs) Created page with "= Macro F1 Score = The '''Macro F1 Score''' is an evaluation metric used in multi-class classification tasks. It calculates the F1 Score independently for each class and then takes the average (unweighted) across all classes. Unlike the regular F1 Score, which is typically applied to binary classification, the Macro F1 is designed for problems involving more than two classes. == Definition == 1. Compute Precision and Recall for each class individually 2. Compute..." |
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* [[F1 Score]] | * [[F1 Score]] | ||
* [[Micro F1 Score]] | * [[Micro F1 Score]] | ||
* [[Weighted F1 | * [[Weighted F1 ]] | ||
* [[Precision]] | * [[Precision]] | ||
* [[Recall]] | * [[Recall]] | ||
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macro f1 score, macro average f1, multi-class classification metrics, balanced evaluation, f1 score for multi-class, macro vs micro f1, macro f1 example, machine learning performance metric | macro f1 score, macro average f1, multi-class classification metrics, balanced evaluation, f1 score for multi-class, macro vs micro f1, macro f1 example, machine learning performance metric | ||
[[Category:Artificial Intelligence]] | |||