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Abstract: This paper is devoted to the problem of learning to predict ordinal (i.e., ordered discrete) classes using classification and regression trees. We start with S-CART, a tree induction algorithm, and study various ways of transforming it into a learner for ordinal classification tasks. These algorithm variants are compared on a number of benchmark data sets to verify the relative strengths and weaknesses of the strategies and to study the trade-off between optimal categorical classification... (Update)
Context of citations to this paper: More
...discussed in this paper is applicable in conjunction with any base learner that can output class probability estimates. Kramer et al. [5] investigate the use of a learning algorithm for regression tasks more Table 4. Experimental results for target value discretized into...
.... be confused with cost sensitive learning as described in e.g. Dom99] or similar techniques that take a detour over regression as in e.g. [KWPD01] to predict ordinal classes. We will show that ordered structures can be represented naturally without the help of numerical values...
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BibTeX entry: (Update)
S. Kramer, G. Widmer, B. Pfahringer, and M. DeGroeve. Prediction of ordinal classes using regression trees. Fundamenta Informaticae, 2001. http://citeseer.ist.psu.edu/kramer01prediction.html More
@article{ kramer01prediction,
author = "Stefan Kramer and Gerhard Widmer and Bernhard Pfahringer and Michael de Groeve",
title = "Prediction of Ordinal Classes Using Regression Trees",
journal = "Fundamenta Informaticae",
volume = "{XXI}",
pages = "1001--1013 1001",
publisher = "IOS Press",
year = "2001",
url = "citeseer.ist.psu.edu/kramer01prediction.html" }
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3 Propositionalization: Investigations in Inductive Logic Prog.. (context) - Kramer - 2000
2 Ordered Classes and Incomplete Examples in Classification (context) - Mathieson - 1996 DBLP
2 A Classification Approach Incorporating Misclassification Co.. (context) - Schiffers - 1997 DBLP
2 Decision Trees for Ordinal Classification (context) - Potharst, Bioch - 2000 DBLP
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