Answer Posted / Indresh Kumar

The term 'naive' in Naive Bayes refers to the assumption that features are conditionally independent of each other given the class label. This assumption is often unrealistic, as many real-world features have some degree of dependence or correlation with others. However, despite this limitation, Naive Bayes still performs well on various classification tasks due to its simplicity and computational efficiency.

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