Classification and Regression Trees(简称CART),指的是可用于分类或回归预测建模问题的决策树算法。在本节中,我们将重点介绍如何使用CART解决分类问题,并以Banknote数据集为例进行演示。 CART模型的表示形式是一棵二叉树。每个节点表示单个输入变量(X)和该变量的分割点(假定变量是数字化的)。树的叶节点(也称作...
Keywords: Classification and regression trees; nonparametric; nonlinear; rpart; tree; classregtree; interactions; hierarchical structuredoi:10.1002/9781118182635.efm0063Ar LazarevicDragoljub PokrajacZoran ObradovicJohn Wiley & Sons, Inc.
Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees refle... (...
决策树算法之分类回归树 CART(Classification and Regression Trees)【1】,程序员大本营,技术文章内容聚合第一站。
CART(Classification and Regression Trees)是一种常用的决策树算法,既可以用于分类问题,也可以用于回归问题。CART算法由Breiman等人于1984年提出,是一种基于递归二分划分的贪婪算法。以下是对CART算法的详细解释: 1. 决策树的构建过程: CART算法通过递归地将数据集划分为越来越纯的子集,构建一棵二叉树。具体过程如下:...
内容提示: OverviewClassification and regression treesWei-Yin LohClassificationandregressiontreesaremachine-learningmethodsforconstructingpredictionmodelsfromdata.Themodelsareobtainedbyrecursivelypartitioningthe data space and fitting a simple prediction model within each partition. As aresult, the partitioning can ...
Overview Classification and regression trees Wei-Yin Loh Classification and regression trees are machine-learning methods for constructing prediction models from data. The models are obtained by recursively partitioning the data space and fitting a simple prediction model within each partition. As...
Regression trees: Pros Recursive partitioning models have two major advantages: interpretability and modeling of interactions The model tree obtained in the end is one of the easiest-understood ways to convey a model to a non-statistician Furthermore, they are among very few methods that have ...
Classification and regression trees. Nat Methods 14, 757–758 (2017). https://doi.org/10.1038/nmeth.4370 Download citation Published01 August 2017 Issue Date01 August 2017 DOIhttps://doi.org/10.1038/nmeth.4370 Subjects Publishing Research data Statistical methods This article is cited by A ...
"Classification and regression trees (cart) theory and applications." Humboldt University, Berlin (2004).Timofeev R (2004) Classification and Regression Trees (CART) Theory and Applications. Humboldt-Universitat zu Berlin, Wirtschaftswissenschaftliche Fakultat....