ROSBoost.RTPlus: ROSBoost variant of AdaBoost.RTPlus

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

Description

ROSBoost variant of AdaBoost.RTPlus

Usage

ROSBoost.RTPlus(
  form,
  train,
  test,
  t_final = 100,
  thr = 0.01,
  power = 2,
  sigma = 0.5,
  perc.O = 1.5,
  rel.thr = 0.9,
  coef = 1.5,
  ...
)

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.
thr	The error threshold. Default is 0.01.
power	Type of loss function, e.g. linear (1), squared (2). Default is 2.
sigma	Regularization factor. Default is 0.5.
perc.O	Percentage for Oversampling via Random Oversampling, i.e. percentage of extreme cases to be generated. Default is 1.5.
rel.thr	Relevance threshold. Default is 0.9.
coef	Coefficient used in boxplot statistics, which is used to create the relevance function. Default is 1.5.
...	Dots are passed to rpart

Value

Returns a vector with the predictions made by ROSBoost.RTPlus.

Examples

data(Boston,package="MASS")

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

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

preds <- ROSBoost.RTPlus(form,train,test)

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