Binary Classification via GMDH-Type Neural Network Algorithms

Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithms. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response (Dag et al., 2019, <>).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.5 by Osman Dag, a year ago

Browse source code at

Authors: Osman Dag [aut, cre] , Erdem Karabulut [aut] , Reha Alpar [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports e1071, utils, graphics, stats, randomForest, glmnet, nnet, MASS, plotly, magrittr, xtable

Suggests mlbench

See at CRAN