A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes' theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be "independent feature model".
Read more about Naive Bayes Classifier: Introduction, The Naive Bayes Probabilistic Model, Parameter Estimation, Sample Correction, Constructing A Classifier From The Probability Model, Discussion
Famous quotes containing the word naive:
“The naive notion that a mother naturally acquires the complex skills of childrearing simply because she has given birth now seems as absurd to me as enrolling in a nine-month class in composition and imagining that at the end of the course you are now prepared to begin writing War and Peace.”
—Mary Kay Blakely (20th century)