Add to ORKGIn order to illustrate the construction of regression tree (using the CART methodology), consider the following simulated dataset, set.seed(1) n=200 X1=runif(n) X2=runif(n) P=.8*(X1.3)*(X2.5)+ + .2*(X1.3)*(X2.5)+ + .8*(X1.3)*(X1.85)*(X2.3)+ + .2*(X1.3)*(X1.85)*(X2.3)+ + .8*(X1.85)*(X2.7)+ + .2*(X1.85)*(X2.7) Y=rbinom(n,size=1,P) B=data.frame(Y,X1,X2) with one dichotomos varible (the variable of interest, ), and two continuous ones (the explanatory ones and ). tail(B) ..
This paper proposes a regression tree methodology that considers the relationships among variables b...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
Abstract: Decision tree study is a predictive modelling tool that is used over many grounds. It is c...
Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held...
<p>Classification And Regression Trees (CART) are binary decision trees, attempting to classify a pa...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
Classification and regression trees (CART) are nonparametric and nonlinear modeling techniques that ...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many ...
This paper proposes a regression tree methodology that considers the relationships among variables b...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
Abstract: Decision tree study is a predictive modelling tool that is used over many grounds. It is c...
Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held...
<p>Classification And Regression Trees (CART) are binary decision trees, attempting to classify a pa...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
Classification and regression trees (CART) are nonparametric and nonlinear modeling techniques that ...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many ...
This paper proposes a regression tree methodology that considers the relationships among variables b...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...