NHEMOtree: Non-hierarchical evolutionary multi-objective tree learner to perform cost-sensitive classification
Version 1.0

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.

AuthorSwaantje Casjens
Date of publication2013-05-09 15:46:02
MaintainerSwaantje Casjens <swaantje.casjens@tu-dortmund.de>
LicenseGPL-3
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("NHEMOtree")

Popular man pages

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
See all...

All man pages Function index File listing

Man pages

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

Functions

Files

MD5
man
man/plot.NHEMOtree.Rd
man/Wrapper.Rd
man/Sim_Data.Rd
man/Sim_Costs.Rd
man/NHEMOtree.Rd
man/NHEMO_Cutoff.Rd
man/NHEMO.Rd
R
R/print.NHEMOtree.R
R/plot.NHEMOtree.R
R/gini_index.R
R/gini_impurity_red_Sim.R
R/getCosts_Tree_sum_Sim.R
R/formula_to_dataset.R
R/calc_fkr2_Sim.R
R/calc_N_Pot_Cuts_Sim.R
R/ZHT_Wurzelknoten.R
R/X_SGP_WK1_VIM.R
R/X_SGP_VIM2.R
R/X_Brood_VIM2.R
R/X_1Point_VIM2.R
R/X_1Point_GP_WK.R
R/Wrapper.R
R/Werte_Reduktion_ZHT2.R
R/WK_Auswahl_Rang.R
R/Vater_in_ZHT_prozentual.R
R/Vater_in_ZHT.R
R/Var_ZHT_Sim.R
R/Var_Rang.R
R/VIM4_complete.R
R/VIM4.R
R/VIM3.R
R/VIM2.R
R/VIM1.R
R/Treeplot_prep.R
R/TS_Sim.R
R/Sim_Data.R
R/Sim_Costs.R
R/Selektion_Winkler.R
R/Roulette_Sim.R
R/Rekombination_VIM3.R
R/Parentselection.R
R/PF_1perm.R
R/OnePoint_X_1child.R
R/NoDupKey.R
R/NHEMOtree.R
R/NHEMO_Cutoff.R
R/NHEMO.R
R/Mutation_overall.R
R/Mutation_Vertauschung.R
R/Mutation_Punkt_voll.R
R/Mutation_Punkt_Vari.R
R/Mutation_Punkt.R
R/Mutation_Permutation.R
R/Mutation_Hoist_Fitness.R
R/Mutation_Hoist.R
R/Mutation_Expansion_NEU.R
R/Mutation_Cutoff100_4.R
R/Mutation_Branch_fully_Sim.R
R/Mutation3.R
R/Missing_data.R
R/MBf_max_Knoten.R
R/Initialisierung_stoch.R
R/Init_RHaH_opt_Sim_Gini.R
R/Init_RHaH_opt_Sim_FKR.R
R/Init_RHaH_Sim.R
R/Init_RHaH.R
R/Init_Ctree.R
R/Grow_Method_Sim.R
R/Gewichte_lin.R
R/Gewichte_exp.R
R/Gauss_M100_4.R
R/Full_Method_Sim.R
R/Fitness_Nachkommen_Sim.R
R/Fitness_Calc_Ctree_Sim.R
R/Fast_nondominated_sort2.R
R/FKR_fast_NEU2.R
R/FKR_CV.R
R/Empty_Laeves.R
R/Delete_Knot_fixed.R
R/Delete_EL.R
R/Delete_Branch_random.R
R/Delete_Branch_fixed.R
R/Datenpermutation_Sim.R
R/Cutoffwahl_gini_Sim.R
R/Cutoffwahl_fkr_Sim.R
R/Cutoff_ZHT_Sim.R
R/Ctree_Sim.R
R/Cost_calculation.R
R/Chromo_bit_long.R
R/Chromo_Var.R
R/Chi_Test.R
R/BinaryTS_FINANZEN_oD.R
R/Best_Tree_new.R
R/Baumtiefe.R
R/Baum_zufaellig_komplett_Sim.R
R/Baum_zufaellig.R
R/Barplot_Sim.R
NAMESPACE
DESCRIPTION
NHEMOtree documentation built on May 19, 2017, 8:14 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.