Data Driving Multiple Classifier System

Provides a novel framework to able to automatically develop and deploy an accurate Multiple Classifier System based on the feature-clustering distribution achieved from an input dataset. 'D2MCS' was developed focused on four main aspects: (i) the ability to determine an effective method to evaluate the independence of features, (ii) the identification of the optimal number of feature clusters, (iii) the training and tuning of ML models and (iv) the execution of voting schemes to combine the outputs of each classifier comprising the Multiple Classifier System.


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Reference manual

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install.packages("D2MCS")

1.0.0 by Miguel Ferreiro-Díaz, 2 months ago


https://github.com/drordas/D2MCS


Report a bug at https://github.com/drordas/D2MCS/issues


Browse source code at https://github.com/cran/D2MCS


Authors: David Ruano-Ordás [aut, ctb] , Miguel Ferreiro-Díaz [aut, cre] , José Ramón Méndez [aut, ctb] , University of Vigo [cph]


Documentation:   PDF Manual  


GPL-3 license


Imports caret, devtools, dplyr, FSelector, ggplot2, ggrepel, gridExtra, infotheo, mccr, mltools, ModelMetrics, questionr, recipes, R6, tictoc, varhandle

Suggests grDevices, knitr, rmarkdown, testthat


See at CRAN