期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：75
期号：3
出版社：Journal of Theoretical and Applied
摘要：We present in this paper a descriptive statistical analysis of a set of data using the method of Principal Component Analysis PCA. Then, we discuss the construction of a prediction model based on decision trees by CHAID method. Then, we move to the evaluation of our model and we discuss the trees optimization problem. Comparative experiments between fifteen trees showed that our model gives interesting predictive performance. Finally, we present concluding remarks about decision trees and we propose development prospects.
关键词：Prediction; Decision Trees; Classification; Machine Learning; Principal Components Analysis
