get_split_names

tree

data

<p>Method for extracting names of splitting features used in a tree.</p>

This tree-based method deals with high dimensional longitudinal
data with correlated features through the use of a piecewise random effect
model. FREE tree also exploits the network structure of the features, by
first clustering them using Weighted Gene Co-expression Network Analysis
('WGCNA'). It then conducts a screening step within each cluster of features
and a selecting step among the surviving features, which provides a relatively
unbiased way to do feature selection. By using dominant principle components
as regression variables at each leaf and the original features as splitting
variables at splitting nodes, FREE tree delivers easily interpretable results
while improving computational efficiency.

Athanasse Zafirov

FREEtree

Tree Method for High Dimensional Longitudinal Data

Yuancheng Xu

Christina Ramirez

Dan Kojis

Min Tan

Mike Alvarez

get_split_names function

Method for extracting names of splitting features used in a tree. — get_split_names

Method for extracting names of splitting features used in a tree.

get_split_names: Method for extracting names of splitting features used in a tree.

Description

Usage

Arguments

Value