Macro F1 Score (macro-averaged F1) calculates the F1 score independently for each class and then takes the arithmetic mean across all classes, without bias toward majority classes. It is suitable for scenarios with imbalanced class distributions, as it more fairly reflects the model's ability to identify minority classes. This metric is typically reported as a percentage or a score between 0 and 1, where higher values indicate better performance. It is widely used in relevant benchmarks and research papers.