AdaBoost.R2: AdaBoost.R2

In nunompmoniz/ReBoost: Boosting by Resampling Approaches for Imbalanced Numerical Prediction Tasks

Description

AdaBoost.R2

Usage

AdaBoost.R2(form, train, test, t_final = 100, power = 2, ...)

Arguments

form	The model formula.
train	A data.frame with the training data.
test	A data.frame with the test data.
t_final	The number of maximum boosting iterations. Default is 100.
power	Type of loss function, e.g. linear (1), squared (2). Default is 2.
...	Dots are passed to rpart

Value

Returns a vector with the predictions made by AdaBoost.R2.

Examples

data(Boston,package="MASS")

idx <- sample(1:nrow(Boston),nrow(Boston)*0.75)
form <- medv ~ .

train <- Boston[idx,]
test <- Boston[-idx,]

preds <- AdaBoost.R2(form,train,test)

nunompmoniz/ReBoost documentation built on Sept. 15, 2021, 8:28 p.m.