What is the Naive Bayes classifier used for?Select one:a.To classify data into different categories based on certain featuresb.To predict the value of a continuous variablec.All of the aboved.To predict the probability of an event occurring

What does the term "naive" refer to in Naive Bayes classification? a. It indicates that the model relies on basic statistical principles. b. It reflects the assumption of independence among features. c. It implies that the model performs well under various conditions. d. It suggests that the model is simple and easy to implement.

Explain how the Naive Bayes classifier works for text classification

How does the Naive Bayes classifier calculate the probability of a data point belonging to a particular class?Select one:a.By using the maximum likelihood estimationb.By using the least squares methodc.By using the gradient descent algorithmd.By using the Bayes theorem

he Naïve Bayes classifier assumes that (Select ANY correct answer)A.the attributes individually follow a Gaussian conditional probability distribution, given the class.B.the attributes individually follow a Gaussian probability distribution, independent of the class.C.the value of any attribute is statistically independent of the value of any other attribute (given the class value).D.the value of any attribute is statistically dependent of the value of any other attribute (given the class value).

Which of the following statements about Naive Bayes classification is true?It assumes that all features are independent of each other.It works well only with numerical data.It is a type of unsupervised learning algorithm.It is primarily used for regression tasks.