Definitions A type I error occurs when the null hypothesis (H0) is true, but is rejected. Also known as false positive, where positive means rejection of a null hypothesis.
A type II error occurs when the null hypothesis is false, but erroneously fails to be rejected. Also called as false negative, where negative refers to retaining a null hypothesis.
TPR (True Positive Rate) = # True positives / # positives = Recall = \( TP \over (TP+FN) \)