What does naive1 mean?

What does naive1 mean?

1 : showing lack of experience or knowledge He asked a lot of naive questions. What made you want to look up naive? Please tell us where you read or heard it (including the quote, if possible).

Why naive Bayes is used in machine learning?

Naive Bayes is suitable for solving multi-class prediction problems. If its assumption of the independence of features holds true, it can perform better than other models and requires much less training data. Naive Bayes is better suited for categorical input variables than numerical variables.

What is p(x|c) in naive Bayes?

P (c) is the prior probability of the class, P (x) is the prior probability of the predictor, and P (x|c) is the probability of the predictor for the particular class (c). Apart from considering the independence of every feature, Naive Bayes also assumes that they contribute equally.

What is nanaive Bayes and how does it work?

Naive Bayes uses the Bayes’ Theorem and assumes that all predictors are independent. In other words, this classifier assumes that the presence of one particular feature in a class doesn’t affect the presence of another one. Here’s an example: you’d consider fruit to be orange if it is round, orange, and is of around 3.5 inches in diameter.