treesForRCV {eat}

Trees for RCV

Description

This function generates a deep EAT and all pruning for each train set.

Usage

treesForRCV(notLv, x, y, fold, numStop)

Arguments

notLv

Train set.

x

Column input indexes in data.

y

Column output indexes in data.

fold

Parts in which the original set is divided to perform Cross-Validation.

numStop

Minimum number of observations in a node to be split.

Value

List with each possible pruning for the deep tree generated with train set and its associated alpha values.