fdm2id: CART – R documentation

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CART

Classification using CART

This function builds a classification model using CART.

CART(
  train,
  labels,
  minsplit = 1,
  maxdepth = log2(length(labels)),
  cp = NULL,
  tune = FALSE,
  ...
)

`train`	The training set (description), as a `data.frame`.
`labels`	Class labels of the training set (`vector` or `factor`).
`minsplit`	The minimum leaf size during the learning.
`maxdepth`	Set the maximum depth of any node of the final tree, with the root node counted as depth 0.
`cp`	The complexity parameter of the tree. Cross-validation is used to determine optimal cp if NULL.
`tune`	If true, the function returns paramters instead of a classification model.
`...`	Other parameters.

The classification model.

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

Data Mining and R Programming for Beginners

v0.9.5

GPL-3

Authors

Alexandre Blansché [aut, cre]

Initial release