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  • 18:50, 24 May 2024 Rice talk contribs created page Naive Bayes (Created page with "Category:Machine Learning '''Naive Bayes''' is an approach to Bayesian networks that simplify the computation of joint probability of an outcome based on high dimensional features. = Motivation = Consider binary classification output C is dependent on binary features X1~X3. By Bayes theorem, we can compute C's probability based on the features with Bayes' theorem: <math> P(C|X_1,X_2,X_3)=\frac{P(X_1,X_2,X_3|C)P(C)}{P(X_1,X_2,X_3)} </math> This, in turn,...")