"NaiveBayes" (Machine Learning Method)
- Method for Classify.
- Determines the class using Bayes's theorem and assuming that features are independent given the class.
Details & Suboptions
- Naive Bayes is a classification technique based on Bayes's theorem which assumes that the features are independent given the class. The class probabilities for a given example are then: , where is the probability distribution of feature given the class, and is the prior probability of the class. Both distributions are estimated from the training data. In the current implementation, distributions are modeled using a piecewise-constant function (i.e a variable-width histogram).
- The following suboption can be given
"SmoothingParameter" .2 regularization parameter
Examplesopen allclose all
Basic Examples (2)
Introduced in 2014