# Import libraries from sklearn.naive_bayes import GaussianNB, MultinomialNB, BernoulliNB # define data, create model and fit data X = Variables Y = Classes Model = GaussianNB(params).fit(X, Y) # Score model Model.score(X, Y) # Predict new classes NewY = Model.Predict(NewX)