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
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 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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Crafting and Executing Strategy The Quest for Competitive Advantage
Authors: Arthur Thompson, Margaret Peteraf, John Gamble, A. J. Strickland III
19th edition
78029503, 978-0078029509
