Question: N1 1. Suppose that we train a classification model that has accuracy equal to 1 (i.e., perfect100%accuracy) on the test set, and that the test

1. Suppose that we train a classification model that has accuracy equal to 1 (i.e., perfect100%accuracy) on the test set, and that the test set contains at least one positive observation and at least one negative observation. Then the TPR (true positive rate) of that model on the test set is also equal to 1 . A. True B. False

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