GMDH2

Binary Classification via GMDH-Type Neural Network Algorithm

Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithm. 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 and 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. See Dag O. and Yozgatligil C. (2016, ISSN:2073-4859) and Kondo T. and Ueno J. (2016, ISSN:1349-4198) for the details of GMDH algorithms.

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Description file content

Package
GMDH2
Type
Package
Title
Binary Classification via GMDH-Type Neural Network Algorithm
Version
1.1
Date
2018-04-14
Depends
R (>= 2.15.0)
Imports
e1071, utils, graphics, stats, randomForest, glmnet, nnet, MASS, plotly, magrittr, xtable
Suggests
mlbench
Author
Osman Dag [aut, cre], Erdem Karabulut [aut], Reha Alpar [aut]
Maintainer
Osman Dag
Description
Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithm. 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 and 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. See Dag O. and Yozgatligil C. (2016, ISSN:2073-4859) and Kondo T. and Ueno J. (2016, ISSN:1349-4198) for the details of GMDH algorithms.
License
GPL (>= 2)
NeedsCompilation
no
Packaged
2018-04-13 23:00:24 UTC; osmandag
Repository
CRAN
Date/Publication
2018-04-14 14:55:51 UTC

install.packages('GMDH2')

1.1

8 days ago

Osman Dag

GPL (>= 2)

Depends on

R (>= 2.15.0)

Imports

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

Suggests

mlbench

Discussions