BuildModel: Builds a single decision tree using rotation forest...

In mananshah99/rotationforest: An implementation of the "Rotation Forest" algorithm from Rodriguez et al. 2006 in R

Description

BuildModel builds one decision tree with a data frame of dependent and response vectors. It also requires the number of predictor variables to use in each rotation as well as the fraction of data points to use in each ensemble model (default = 0.75).

Usage

BuildModel(dependent, response, npredictor, frac = 0.75, ...)

Arguments

dependent	a data frame of x dependent vectors
response	a data frame of y response values
npredictor	the number of predictor variables to use in each rotation
frac	the fraction of data points to use in each ensemble model
...	additional arguments to pass to the rpart function

Value

A list containing the rpart object and rotation matrix

mananshah99/rotationforest documentation built on May 21, 2019, 11:23 a.m.