• Corpus ID: 34292555

Roman Hornung Ordinal Forests

@inproceedings{Hornung2017RomanHO,
  title={Roman Hornung Ordinal Forests},
  author={Roman Hornung},
  year={2017}
}
The prediction of the values of ordinal response variables using covariate data is a relatively infrequent task in many application areas. Accordingly, ordinal response variables have gained comparably little attention in the literature on statistical prediction modeling. The random forest method is one of the strongest prediction methods for binary response variables and continuous response variables. Its basic, tree-based concept has led to several extensions including prediction methods for… 

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