ImbTreeEntropy-package: An R package for building entropy based classification trees...

In KrzyGajow/ImbTreeEntropy: Software to build Decision Trees for imbalanced data

Description

An R package for building binary and multiclass decision tree algorithms using generalized entropy functions, such as Renyi, Tsallis, Sharma-Mittal, Sharma-Taneja and Kapur, to measure impurity of a node. These are important extensions of the existing algorithms which usually employ Shannon entropy and the concept of information gain. Additionally, ImbTreeEntropy is able to handle imbalanced data which is a challenging issue in many practical applications. The package supports cost-sensitive learning by defining a misclassification cost matrix and weight sensitive learning. It accepts all types of attributes, including continuous, ordered and nominal.

Author(s)

Krzysztof Gajowniczek

Maintainer: [e-mail]

See Also

ImbTreeEntropy, ImbTreeEntropyInter, PredictTree, PrintTree, PrintTreeInter, ExtractRules

KrzyGajow/ImbTreeEntropy documentation built on Dec. 31, 2020, 2:13 p.m.