Continuous Naive Bayes is a supervised learning component. It implements the model of conditional independence for continuous predictors (quantitative). The main originality lies in the production of an explicit model as a linear combination of predictor variables and, possibly, their square.
functionality reporting were improved.
0 comments:
Post a Comment