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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 19 | Page No.: 3903-3908
DOI: 10.3923/jas.2013.3903.3908
Application and Study of Ordinal Decision Tree in the Teaching Quality Evaluation
Hong-Yan Ma, Jian-Kai Chen , Nan Yang and Li-Ling Wang

Abstract: Ordinal decision tree is one of the important ways of dealing with ordinal classification tasks. Ordinal decision tree based rank mutual information is representative of ordinal decision tree learning algorithms. Rank mutual information can be used to reflect the monotonous relevance between features and decision. Namely, it is useful for measuring the importance of attributes in ordinal classification. This study applies ordinal decision tree to teaching evaluation of colleges and universities for improving the level of teaching evaluation. The aim is to make teaching quality evaluation fair, reasonable and effective.

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How to cite this article
Hong-Yan Ma, Jian-Kai Chen , Nan Yang and Li-Ling Wang , 2013. Application and Study of Ordinal Decision Tree in the Teaching Quality Evaluation. Journal of Applied Sciences, 13: 3903-3908.

Keywords: Ordinal decision tree, rank mutual information and teaching evaluation

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