Answer Posted / Rahul Gautam

The Naive Bayes machine learning algorithm is called 'naive' because it makes an assumption that the features are conditionally independent given the class. This assumption simplifies the computation but may not hold true in reality, making the algorithm 'naive'. Despite this limitation, Naive Bayes performs well in many text classification tasks due to its efficiency and effectiveness.

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