Which of the following is not a type of data that the Naïve Bayes classifier can handle natively? Gaussian Polynomial Bernoulli Multinomial

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 type of data is Naive Bayes particularly good at handling?Answer areaContinuous dataText dataImage dataTime-series data

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

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.

Which of the following is NOT a common method for data classification?Naive BayesK-Means ClusteringDecision TreesRegression Analysis