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
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