Mining Children Ever Born Data; Classification Tree Approach

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.