Naive Bayes MCQs

By: Prof. Dr. Fazal Rehman | Last updated: May 14, 2025

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1. : What is the primary application of the Naive Bayes algorithm in data mining?



2. : What assumption does the Naive Bayes algorithm make about the features in the dataset?



3. : Which of the following distributions is commonly used with the Naive Bayes algorithm for continuous data?



4. : What does the Naive Bayes classifier compute to make predictions?



5. : In the context of Naive Bayes, what does the term “prior probability” refer to?



6. : Which of the following is a major advantage of the Naive Bayes algorithm?



7. : What is a key limitation of the Naive Bayes algorithm?



8. : In a Naive Bayes classifier, how are the probabilities for categorical features typically estimated?



9. : Which of the following best describes the “naive” aspect of the Naive Bayes algorithm?



10. : What type of problems is the Naive Bayes algorithm particularly well-suited for?



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