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Hard voting is where the model is selected from an ensemble to make the final prediction using simple majority vote.

Hard voting is where the model is selected from an ensemble to make the final prediction using simple majority vote. Correct Answer

In hard voting, a model is selected from an ensemble by a simple majority vote to make the final prediction for accuracy. Here every individual classifier votes for a class, and the majority class wins. So it simply aggregates the predictions of each classifier and predicts the class that gets the most votes.

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