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2014 Decision Tree Classification Model for Popularity Forecast of Chinese Colleges
Xiangxiang Zeng, Sisi Yuan, You Li, Quan Zou
J. Appl. Math. 2014: 1-7 (2014). DOI: 10.1155/2014/675806

Abstract

Prospective students generally select their preferred college on the basis of popularity. Thus, this study uses survey data to build decision tree models for forecasting the popularity of a number of Chinese colleges in each district. We first extract a feature called “popularity change ratio” from existing data and then use a simplified but efficient algorithm based on “gain ratio” for decision tree construction. The final model is evaluated using common evaluation methods. This research is the first of its type in the educational field and represents a novel use of decision tree models with time series attributes for forecasting the popularity of Chinese colleges. Experimental analyses demonstrated encouraging results, proving the practical viability of the approach.

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Xiangxiang Zeng. Sisi Yuan. You Li. Quan Zou. "Decision Tree Classification Model for Popularity Forecast of Chinese Colleges." J. Appl. Math. 2014 1 - 7, 2014. https://doi.org/10.1155/2014/675806

Information

Published: 2014
First available in Project Euclid: 2 March 2015

Digital Object Identifier: 10.1155/2014/675806

Rights: Copyright © 2014 Hindawi

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