What is trade-off between sensitivity (or TPR) and specificity (1-FPR)?

In binary classification problems, sensitivity (also called true positive rate or TPR) and specificity (also called true negative rate or TNR) are two common performance metrics used to evaluate the performance of a classification model. Sensitivity measures the proportion of true positives (correctly identified positives) out of all actual positives. It is defined as: TPR = TP / (TP + FN) where..

2023.03.07