NHEMOtree: Non-hierarchical evolutionary multi-objective tree learner to perform cost-sensitive classification

NHEMOtree performs cost-sensitive classification by solving the two-objective optimization problem of minimizing misclassification rate and minimizing total costs for classification. The three methods comprised in NHEMOtree are based on EMOAs with either tree representation or bitstring representation with an enclosed classification tree algorithm.

Getting started

Package details

AuthorSwaantje Casjens
MaintainerSwaantje Casjens <[email protected]>
Package repositoryView on CRAN
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NHEMOtree documentation built on May 2, 2019, 7:32 a.m.