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

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

Explain how the Naive Bayes classifier works for text classification

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).

A naive bayes classifier is used to classify a test sample T. The parameters can be computedfrom the training samples in the table below. What will be the class of T = (R,V,D)?F1 F2 F3 TargetR S D YR S D NR S D YY S D NY S I YY V I NY V I YY V D NR V I NR S I Y

What is the assumption made by the Naive Bayes classifier?Select one:a.That the features in the data are dependent on each otherb.That the features in the data are independent of each otherc.That the features in the data are normally distributedd.That the features in the data are uniformly distributed