get_split_criterion: Get split criterion (levels) for factor, character or...

In imbs-hl/timbR: Tree interpretation methods based on ranger

Get split criterion (levels) for factor, character or numerical variables

Description

Get split criterion (levels) for factor, character or numerical variables

Usage

get_split_criterion(tree_info_df, node_id, train_data_df, rf_list)

Arguments

tree_info_df	Data frame containing information about the structure of the decision tree, which is built like a "treeInfo()" data frame from the package "ranger"
node_id	Node ID of the node whose parent ID is to be determined
train_data_df	Data frame of the training data with which the random forest was trained
rf_list	Random forest, which is built like the one you get from ranger()

Value

Character with levels or values passed from the parent node to the considered node

Author(s)

Lea Louisa Kronziel, M.Sc.

imbs-hl/timbR documentation built on April 17, 2025, 2:08 p.m.