Naive Bayes classifiers are a collection _____ of algorithms.Review Laterclassificationclusteringregressionall

Introduction to Naive Bayes algorithm for classification.

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

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. [2marks]