Learn about the Naive Bayes Classifier in the following notes. Numeric Example with Dataset (Transactional Data) Sum1 Sum2 Consider the following dataset. Apply the Naïve Bayes classifier to the following frequency table and predict the type of fruit given it is {Yellow, Sweet, Long}. Solution can be viewed in the following pdf. Numeric Example with Text Data Multinomial Naive Bayes vs Bernoulli Naive Bayes Multinomial Naive Bayes and Bernoulli Naive Bayes are both variations of the Naive Bayes algorithm, and they are used for different types of data distributions: 1. Multinomial Naive Bayes: - The Multinomial Naive Bayes classifier is used for data that is multinomially distributed, which typically means it is used for discrete data. - It is particularly suitable for text classification problems where features (or words) can occur multiple times. For example, it can be used for document classification where the features are the frequencies...
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