Naive Bayes

What is the fundamental assumption of Naive Bayes classifiers?

• The features are dependent on each other

• The features are independent on each other

• The features have a linear relationship

• None of the above

Naive Bayes classifier is considered as?

• Supervised learning

• Unsupervised learning

What is Laplace smoothing used for in Naive Bayes classifiers?

• To handle missing data

• To avoid zero probabilities

• To enhance model interpretability

• To speed up computation

How does the Naive Bayes classifier handle continuous features?

• By discretizing the features

• By ignoring them

• By using logistic regression

• By assuming a normal distribution

Which of the following statements is true regarding the performance of Naive Bayes classifiers?

• They generally perform poorly on high-dimensional data

• They are robust to irrelevant features

• They require a large amount of training data

• None of the above