Question

Naive Bayes works based on the idea that Predictor variables in the ML process is
...... of each other.


dependent
independent​

Answer 1

Answer:

independent on each other

Answer 2

Independent

Explanation:

Naïve Bayes Classifier is one of the easy and simplest Classification algorithms which enables in constructing the quick gadget getting to know fashions that may make short predictions.

It is a probabilistic classifier, this means that it predicts on the premise of the possibility of an object.

It is straightforward and rapid to expect the elegance of the check records set.

It additionally plays properly in multi-elegance prediction.

When assumption of independence holds, a Naive Bayes classifier plays higher evaluation to different fashions like logistic regression and also you want much fewer education records.