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.
|Date of publication||2013-05-09 15:46:02|
|Maintainer||Swaantje Casjens <firstname.lastname@example.org>|
NHEMO: Non-hierarchical evolutionary multi-objective tree learner to...
NHEMO_Cutoff: Non-hierarchical evolutionary multi-objective optimization...
NHEMOtree: Non-hierarchical evolutionary multi-objective tree learner to...
plot.NHEMOtree: Plot Method for Class NHEMOtree
Sim_Costs: Simulation of a cost matrix for use in NHEMOtree
Sim_Data: Simulation of data for use in NHEMOtree
Wrapper: NSGA-II wrapper with enclosed classification tree algorithm