Sim_Costs


Simulation of a cost matrix for 10 variables in combination with 'Sim_Data' and to be analyszed with "NHEMOtree".


Non-hierarchical evolutionary multi-objective tree learner

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.

Sim_Costs: Simulation of a cost matrix for use in NHEMOtree

Description

Usage

Arguments

See Also

Examples