Hard votingIt is a voting method that directly outputs class labels, mainly found in classification machine learning algorithms.

The voting method is a combination strategy for classification problems in ensemble learning. The basic idea is to select the class with the most output in the algorithm. Hard voting is to select the label with the most output by the algorithm. If the number of labels is equal, they are selected in ascending order.

References

【1】Voting in sklearn (personal blog)