Participate in this quiz to evaluate your knowledge of Naive Bayes, a widely-used classification algorithm in the field of Machine Learning.

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Participate in this quiz to evaluate your knowledge of Naive Bayes, a widely-used classification algorithm in the field of Machine Learning.

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- Question 1 of 10
##### 1. Question

**What is Naive Bayes primarily used for?**CorrectIncorrect - Question 2 of 10
##### 2. Question

**Naive Bayes is based on which of the following principles?**CorrectIncorrect - Question 3 of 10
##### 3. Question

**What is the underlying assumption of the Naive Bayes classifier?**CorrectIncorrect - Question 4 of 10
##### 4. Question

**What is the purpose of the term “Naive” in Naive Bayes?**CorrectIncorrect - Question 5 of 10
##### 5. Question

**What is Laplace smoothing used for in Naive Bayes?**CorrectIncorrect - Question 6 of 10
##### 6. Question

**In spam email classification, what is the role of prior probabilities in Naive Bayes?**CorrectIncorrect - Question 7 of 10
##### 7. Question

**What is the computational advantage of the Naive Bayes classifier compared to some other algorithms?**CorrectIncorrect - Question 8 of 10
##### 8. Question

**In text classification using Naive Bayes, why might the “bag-of-words” representation lead to suboptimal results?**CorrectIncorrect - Question 9 of 10
##### 9. Question

**In a scenario where the features are highly correlated, how might Naive Bayes perform?**CorrectIncorrect - Question 10 of 10
##### 10. Question

**In text classification using Naive Bayes, what is the typical representation of features?**CorrectIncorrect

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