Review of classification and regression trees (CART)

被引:0
|
作者
Diaz Sepulveda, Juan Felipe
机构
来源
REVISTA PENSAMIENTO AMERICANO | 2011年 / 4卷 / 07期
关键词
Sorter; partition; classification tree; regression tree; node; leaf; impurity; cross validation;
D O I
暂无
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Depending on the problem, the basic purpose of a classification study may be to produce a correct classification or predictive discovering the structure of the problem If our goal is the latter, then we are trying to understand what variables or interactions of variables describing the phenomenon, that is, give simple characterizations of the conditions that determine when an object is In a class more than another. The Classification and Regression Trees, Classification and Regression English Trees (CART), owes its development to L Breiman, J. Friedman, R. Olshen and C Stone, who wrote the book of the same name, published in 1984 [Breiman et al, 1984]. The aim of this paper is to report from the theoretical point of view it is this classification technique.
引用
收藏
页码:75 / 80
页数:6
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