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What is the impact of multicollinearity among features on the performance of the Naive Bayes algorithm?
- A-It leads to overfitting of the model
- B-It has no impact on the performance of the model
- C-It can degrade the performance of the model
- D-It improves the interpretability of the model
- Posted By: MCQSEXAM
- Data Science / Naive Bayes
-
The Naive Bayes algorithm assumes independence among features, so multicollinearity among features does not affect its performance.
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