An ensemble of ordered logistic regression and random forest for child garment size matching

@article{Pierola2016AnEO,
  title={An ensemble of ordered logistic regression and random forest for child garment size matching},
  author={A. Pierola and I. Epifanio and S. Alemany},
  journal={Comput. Ind. Eng.},
  year={2016},
  volume={101},
  pages={455-465}
}
A fit assessment study of child garments is carried out.An original ensemble of ordered logistic regression and random forest for garment size assignment is proposed.Two new measures for understanding data with multivariate random forest are proposed.Promising results have been achieved with our methodology, especially if they are compared with the actual use of size charts. Size fitting is a significant problem for online garment shops. The return rates due to size misfit are very high. We… Expand
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