Abstract: This paper proposes a method to develop the multinomial logit (MNL) model for a sequence of choices behavior that incorporates the probability of last choice in the current representative ...

Naive Bayes is a family of algorithms based on applying Bayes theorem with a strong(naive) assumption, that every feature is independent of the others, in order to ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

This is an R / Python package for fitting multinomial probit (MNP) models, a form of generalized linear regression model for multi-class classification. It uses a fast approximation for the CDF of ...

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