CRAN/E | D2MCS

D2MCS

Data Driving Multiple Classifier System

Installation

About

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.

Citation D2MCS citation info
github.com/drordas/D2MCS
Bug report File report

Key Metrics

Version 1.0.1
R ≥ 4.2
Published 2022-08-23 606 days ago
Needs compilation? no
License GPL-3
CRAN checks D2MCS results

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Maintainer

Maintainer

Miguel Ferreiro-Díaz

miguel.ferreiro.diaz@gmail.com

Authors

David Ruano-Ordás

aut / ctb

Miguel Ferreiro-Díaz

aut / cre

José Ramón Méndez

aut / ctb

University of Vigo

cph

Material

NEWS
Reference manual
Package source

Vignettes

A Brief Introduction to D2MCS

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

D2MCS archive

Depends

R ≥ 4.2

Imports

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

Suggests

grDevices
knitr
rmarkdown
testthat ≥ 3.0.2