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jl3392 / Capstone-Design

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Try Naive Bayes Classifier method #4

Closed jl3392 closed 6 years ago

jl3392 commented 6 years ago

In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features. An advantage of naive Bayes is that it only requires a small number of training data to estimate the parameters necessary for classification.

I would try this method to find important features.

jl3392 commented 6 years ago

Try Gaussian Naive Bayes, MultinomialNB and BernouliNB.