R: Classification using one-level decision tree

STUMP {fdm2id}

R Documentation

Classification using one-level decision tree

This function builds a classification model using CART with maxdepth = 1.

STUMP(train, labels, randomvar = TRUE, tune = FALSE, ...)

`train`	The training set (description), as a `data.frame`.
`labels`	Class labels of the training set (`vector` or `factor`).
`randomvar`	If true, the model uses a random variable.
`tune`	If true, the function returns paramters instead of a classification model.
`...`	Other parameters.

The classification model.

require (datasets)
data (iris)
STUMP (iris [, -5], iris [, 5])

[Package fdm2id version 0.9.9 Index]