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F1 Measure - What is the F-measure in confusion matrix?


An f-score is a way to measure a model's accuracy based on recall and precision. There's a general case F-score, called the F1-score (which is most commonly used), by you could tweak an F-score by setting a value β. The higher an F-score, the more accurate a model is. The lower an F-score, the less accurate a model is.