Sensitivity and Specificity vs Recall and Precision



perfect sensitivity (true positive rate, no false negatives, recall)

sensitivity = true positives/all positives


perfect specificity (true negative rate)

specificity = true negatives/all negatives



perfect recall (true positive rate, no false negatives, sensitivity)

recall = true positives/all relevant instances


perfect precision (positive predictive value, no false positives)

precision = true positives/all retrieved instances