BaggedBEST: Performs Bootstrap Aggregating of BEST trees

In BESTree: Branch-Exclusive Splits Trees

Description

Performs Bootstrap Aggregating of BEST trees

Usage

BaggedBEST(Data, VA, NoT = 50, Size = 50)

Arguments

Data	A data set (Data Frame): Can take on both numerical and categorical predictors. Last column of the data set must be the Repsonse Variable (Categorical Variables only)
VA	Variable Availability structure
NoT	Number of Trees in the bag
Size	Minimal Number of Observation within a leaf needed for partitionning (default is 50)

Value

A list of BEST Objects

Examples

n <- 500
Data <- BESTree::Data[1:n,]
d <- ncol(Data)-1
VA <- ForgeVA(d,1,0,0,0)
Size <- 50
NoT <- 10
Fit <- BESTree::BaggedBEST(Data,VA,NoT,Size)

BESTree documentation built on Aug. 9, 2019, 5:07 p.m.