Answer / Bhavana Bhardwaj

The term 'naive' in the Naive Bayes algorithm refers to the assumption that all features are independent, given the class variable. This simplifying assumption allows for efficient computation of probabilities and makes the algorithm suitable for text classification tasks with high-dimensional data. However, it may lead to less accurate results when the independence assumption is violated.

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