AdaBoost.RTPlus: AdaBoost.RTPlus

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

Description

AdaBoost.RTPlus

Usage

AdaBoost.RTPlus(
  form,
  train,
  test,
  t_final = 100,
  thr = 0.01,
  power = 2,
  sigma = 0.5,
  ...
)

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.
...	Dots are passed to rpart

Value

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

Examples

data(Boston,package="MASS")

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

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

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

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