F1 Score (F Measure)
Consider a Binary Classification Model that Predicts Whether or Not a Person Got Diabetic.
Accuracy
Precision
Recall/Sensitivity/TPR
Specificity/FPR(1-Specificity)
F1-score/F-Score/F-Measure
Using F1 score as a metric, we are sure that if the F1 score is high, both precision and recall of the classifier indicate good results. This score takes both false positives and false negatives into account. Intuitively it is not as easy to understand as accuracy, but F1 is usually more useful than accuracy, especially if you have an uneven class distribution.
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