Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 30, Pages: 1-7
Mahsa Saadati and Arezoo Bagheri*
National Population and Comprehensive Management Institute, Tehran, Iran; [email protected]
Classification is an important problem in many fields of science. In this problem the goal is classification of categorical variable as a response based on any input variables as covariates. For years Logistic regression and discriminant analysis were used as statistical methods for classification. Nowadays by developing data base storage and computer programming some new methods such as classification trees are applied to classify data. The aim of this article is introducing CART algorithm as a classification tree rule to analyze demographic data. CARTs generate binary decision tree and have simple interpretations. We use CART to classify children ever born as an important phenomenon in demographic research.
Keywords: CART, Chi-Square Test, Children Ever Born, Classification Tree, Data Mining, Gini Index
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