How is Naïve Bayes used in ensemble learning systems?

Naïve Bayes can be combined with other models in ensembles like stacking or voting systems.

In ensemble learning, Naïve Bayes is often used as a base learner due to its speed and probabilistic output. It can be combined with logistic regression, SVMs, or neural networks in stacking frameworks. Ensembles help mitigate NB's independence limitations while preserving efficiency.