By theory I know that Naive Bayes Classifier is a linear one, but when I implemented the decision boundary it was a curve (not linear as shown below). Is there any explanation why this is happening? or Are there any reasons to make Naive Bayes nonlinear?
Here is the code
from sklearn.naive_bayes import GaussianNB classifier = GaussianNB() classifier.fit(X_train, y_train) y_pred = classifier.predict(X_test)