Computer Science · Machine Learning
Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R. Assertion A: The Naive Bayes classifier is defined as a 'lazy learner' that avoids the training phase by assuming that all features in a dataset are strongly dependent on each other. Reason R: The Naive Bayes algorithm remains highly effective for complex tasks like text classification and spam filtering despite its 'naive' presumption of conditional feature independence. In the light of the above statements, choose the most appropriate answer from the options given below:
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1Both A and R are correct and R is the correct explanation of A
- 2Both A and R are correct but R is NOT the correct explanation of A
- 3A is correct but R is not correct
- 4A is not correct but R is correct✓
Correct answer
A is not correct but R is correct
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