Naive Bayes(Zhang, 2004), includingGaussian Naive Bayes, comprises probabilistic classifiers based on Bayes’ theorem with the assumption of conditional feature independence

prevents overfitting in high-dimensional settings, class weighting addresses imbalance, the model’s linear decision boundary may limit performance on complex, non-linear patterns without explicit feature engineering or basis expansions · 2004