How does Hard Voting select a result with an even number of classifiers in a VotingClassifier in scikit-learn?
posted on 2024-11-07 20:01 read(408) comment(0) like(17) collect(1)
I have two classifiers in a Voting Classifier which are both being used to predict whether an instance is class 0 or class 1. The results are aggregated using hard voting (which uses a majority vote), however I am unsure how the VotingClassifier makes the decision with an even number of classifiers.
solution
Its mentioned in the documentation here
In the cases of a tie, the VotingClassifier will select the class based on the ascending sort order. E.g., in the following scenario
classifier 1 -> class 2 classifier 2 -> class 1the class label 1 will be assigned to the sample.
So as explained here, in case of a tie, the alphabetical order will be used to give out the result.
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