Question: Machine Learning. Show how this is true so I can understand please. 1. Suppose that we train a classification model that has accuracy equal to

Machine Learning. Show how this is true so I can understand please.

1. Suppose that we train a classification model that has accuracy equal to 1 (i.e., perfect 100% 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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