Question: Suppose you are designing a binary classifier using an ensemble with three base classifiers. Each base classifier achieves 7 0 % 7 0 % accuracy.

Suppose you are designing a binary classifier using an ensemble with three base classifiers. Each base classifier achieves 70% accuracy. If you use majority voting for the base classifier, what will be the maximum accuracy the ensemble can achieve? Explain your answer.

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An ensemble classifier is essentially a group of classifiers or models that predicts an outcome base... View full answer

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