What is the difference between hard voting and soft voting in ensemble classifiers?

Question

Machine Learning — Medium

What is the difference between hard voting and soft voting in ensemble classifiers?

Accepted Answer

Hard voting selects the class predicted by the majority of models, while soft voting averages predicted probabilities across models. Soft voting is preferred when models are well-calibrated.