Multinomial Naive Bayes Python Code. Class sklearn naive bayes multinomialnb alpha 1 0 fit prior true class prior none source naive bayes classifier for multinomial models. Get the accuracy scores using the sklearn model selection cross val score function.
Apply smoothing if true param idf bool. The naive ba y es classification algorithm is based off of bayes theorem bayes theorem is a beautiful yet simple theorem developed primitively by english. The function should return a list of five accuracy scores.
Get the accuracy scores using the sklearn model selection cross val score function.
Use 5 fold cross validation. Bnb naivebayes bernoulli true self. The multinomial naive bayes classifier is suitable for classification with discrete features e g word counts for text classification. Cnb naivebayes multinomial true cnb true self.
