International Journal of Computational Intelligence Systems

Volume 12, Issue 2, 2019, Pages 649 - 660

GMDH2: Binary Classification via GMDH-Type Neural Network Algorithms—R Package and Web-Based Tool

Authors
Osman Dag1, 2, *, Erdem Karabulut1, Reha Alpar1
1 Department of Biostatistics, Faculty of Medicine, Hacettepe University, 06100, Sihhiye/Ankara, Turkey
2 Neoanka Information Technologies Training & Consultancy Services Ltd Co, ODTU Teknokent, 06800, Cankaya/Ankara, Turkey
*Corresponding author. Email: osman.dag@outlook.com; osman.dag@hacettepe.edu.tr
Corresponding Author
Osman Dag
Received 17 January 2019, Accepted 2 June 2019, Available Online 17 June 2019.
DOI
https://doi.org/10.2991/ijcis.d.190618.001How to use a DOI?
Keywords
Machine learning, Classification, R package, Web-tool
Abstract

Group method of data handling (GMDH)-type neural network algorithms are the self-organizing algorithms for modeling complex systems. GMDH algorithms are used for different objectives; examples include regression, classification, clustering, forecasting, and so on. In this paper, we present GMDH2 package to perform binary classification via GMDH-type neural network algorithms. The package offers two main algorithms: GMDH algorithm and diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. GMDH algorithm performs binary classification and returns important variables. dce-GMDH algorithm performs binary classification by assembling classifiers based on GMDH algorithm. The package also provides a well-formatted table of descriptives in different format (R, LaTeX, HTML). Moreover, it produces confusion matrix and related statistics, and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. Moreover, a user-friendly web-interface of the package is provided especially for non-R users. This web-interface is available at http://www.softmed.hacettepe.edu.tr/GMDH2.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
649 - 660
Publication Date
2019/06/17
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.d.190618.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Osman Dag
AU  - Erdem Karabulut
AU  - Reha Alpar
PY  - 2019
DA  - 2019/06/17
TI  - GMDH2: Binary Classification via GMDH-Type Neural Network Algorithms—R Package and Web-Based Tool
JO  - International Journal of Computational Intelligence Systems
SP  - 649
EP  - 660
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190618.001
DO  - https://doi.org/10.2991/ijcis.d.190618.001
ID  - Dag2019
ER  -