Research and application of the statistical models based on CART
Zhang Li · Journal of Zhejiang University of Technology · 2002
CART (Classification and Regression Tree) is a kind of non-parameter recognizing technology based on the statistical theory. The construction of CART has become a common basic method for building statistical models from simple feature data. CART is powerful because it can deal with incomplete data, multiple types of features floats both in input features and predicted features and the trees it produces often contain rules which are humanly readable. In this article, I first introduce some arithmetic applied to build a kind of CART, and then discuss the prune method of CART At last, I analyze an application example with the software S\|PLUS.