AI engineering glossary · Classical ML algorithms
What is voting classifier?
Voting classifier: An ensemble that combines several classifiers by majority vote (hard voting) or by averaging their predicted probabilities (soft voting). It is the simplest way to blend different model types, and it works best when members make different kinds of mistakes.
Voting classifier: an example
If a tree, an SVM and a logistic model predict spam, spam, not-spam, hard voting returns spam.
Related terms
More Classical ML algorithms terms
- Weak learner
- XGBoost
- AdaBoost
- Agglomerative clustering
- Anomaly detection
- Apriori algorithm
- Association rule learning
- Bagging
Where you learn it
Voting classifier is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.