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Accuracy
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How often are the model's predictions correct?
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(TP + TN) / (TP + TN + FN + FP)
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Precision
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When the model predicts positive, how often is it correct?
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TP / (TP + FP)
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Sensitivity (Recall) or TPR
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When it is actually positive, how often it correctly predicts?
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TP / (TP + FN)
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Specificity or TNR
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When it is actually negative, how often it correctly predicts?
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TN / (TN + FP)
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Balanced accuracy
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The mean of sensitivity and specificity
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(TPR + TNR) / 2
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F-Measure
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The harmonic mean of precision and sensitivity
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2 × Precision × Recall / (Precision + Recall)
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