Calibration is a vital aspect of the performance of risk prediction models, but research in the context of ordinal outcomes is scarce. This study compared calibration measures for risk models ...

This is a preview. Log in through your library . Abstract Although probabilistic discrete-choice models such as multinomial logit are widely used, little consideration has been given to the ...

Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...

A multinomial logit choice model for multiple choices from a fixed slate. Inherits From: ChoiceModel, Entity recsim_ng.entities.choice_models.selectors ...

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, ...