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evtree (version 1.0-8)

Evolutionary Learning of Globally Optimal Trees

Description

Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over the parameter space of trees is to use global optimization methods like evolutionary algorithms. The 'evtree' package implements an evolutionary algorithm for learning globally optimal classification and regression trees in R. CPU and memory-intensive tasks are fully computed in C++ while the 'partykit' package is leveraged to represent the resulting trees in R, providing unified infrastructure for summaries, visualizations, and predictions.

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Version

Install

install.packages('evtree')

Monthly Downloads

1,682

Version

1.0-8

License

GPL-2 | GPL-3

Last Published

May 26th, 2019

Functions in evtree (1.0-8)

GermanCredit

Statlog German Credit
BBBClub

Bookbinder's Book Club
MAGICGammaTelescope

MAGIC Gamma Telescope
ContraceptiveChoice

Contraceptive Method Choice
evtree.control

Control for evtree
StatlogHeart

Statlog Heart
evtree

Evolutionary Learning of Globally Optimal Trees