WebApr 22, 2024 · Recall = TP / (FN+TP) In most cases, we want both our precision and recall being high, but it is not possible. When our precision will be high our recall will be low and … WebPrecision is TP/(TP + FP ); recall is TP/(TP + FN ). from publication: Predicting Vulnerable Software Components We introduce Vulture, a new approach and tool to predict …

Precision, Recall, Sensitivity and Specificity

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