Multinomial logistic regression ensembles.

  title={Multinomial logistic regression ensembles.},
  author={Kyewon Lee and Hongshik Ahn and Hojin Moon and Ralph L. Kodell and James J. Chen},
  journal={Journal of biopharmaceutical statistics},
  volume={23 3},
This article proposes a method for multiclass classification problems using ensembles of multinomial logistic regression models. A multinomial logit model is used as a base classifier in ensembles from random partitions of predictors. The multinomial logit model can be applied to each mutually exclusive subset of the feature space without variable selection. By combining multiple models the proposed method can handle a huge database without a constraint needed for analyzing high-dimensional… CONTINUE READING