GRADIENTBOOSTING: Classification using Gradient Boosting

In fdm2id: Data Mining and R Programming for Beginners

Classification using Gradient Boosting

Description

This function builds a classification model using Gradient Boosting

Usage

GRADIENTBOOSTING(
  train,
  labels,
  ntree = 500,
  learningrate = 0.3,
  tune = FALSE,
  ...
)

Arguments

train	The training set (description), as a data.frame.
labels	Class labels of the training set (vector or factor).
ntree	The number of trees in the forest.
learningrate	The learning rate (between 0 and 1).
tune	If true, the function returns paramters instead of a classification model.
...	Other parameters.

Value

The classification model.

See Also

xgboost

Examples

## Not run: 
require (datasets)
data (iris)
GRADIENTBOOSTING (iris [, -5], iris [, 5])

## End(Not run)

fdm2id documentation built on July 9, 2023, 6:05 p.m.