A new approach in model selection for ordinal target variables

DOI10.1007/s00180-021-01112-4zbMath1505.62048arXiv2003.02761OpenAlexW3164671774MaRDI QIDQ2135842

Silvia Figini, Elena Ballante, Pierpaolo Uberti

Publication date: 10 May 2022

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2003.02761

zbMATH Keywords

classificationordinal datamodel assessmentperformance index

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Uncertainty diagnostics of binomial regression trees for ordered rating data

Uses Software

• HandTill2001
• rpartScore

Cites Work

• Ordinal forests
• Stochastic dominance-based rough set model for ordinal classification
• Making classifier performance comparisons when ROC curves intersect
• Measuring classifier performance: a coherent alternative to the area under the ROC curve
• Measuring Diagnostic Accuracy of Statistical Prediction Rules
• A simple generalisation of the area under the ROC curve for multiple class classification problems
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