scores: Pruning Scores

In eat: Efficiency Analysis Trees

Pruning Scores

Description

This function calculates the score for each pruning of tree_alpha_list.

Usage

scores(N, Lv_notLv, x, y, fold, numStop, Tk, tree_alpha_list)

Arguments

N	Number of rows in data.
Lv_notLv	List with train and test sets.
x	Column input indexes in data.
y	Column output indexes in data.
fold	Parts in which the original data set is divided to perform Cross-Validation.
numStop	Minimum number of observations on a node to be split.
Tk	Best pruned tree.
tree_alpha_list	List with all the possible pruning and its associated alpha.

Value

List with the best pruning for each fold, the pruning with a lower score and tree_alpha_list with scores updated.

eat documentation built on Jan. 10, 2023, 5:13 p.m.