Skip to content

Ensemble Explainable Machine Learning Models

0packages depend
2.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

We introduced a novel ensemble-based explainable machine learning model using Model Confidence Set (MCS) and two stage Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm. The model combined the predictive capabilities of different machine-learning models and integrates the interpretability of explainability methods. To develop the proposed algorithm, a two-stage Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) framework was employed. The package has been developed using the algorithm of Paul et al. (2023) doi:10.1007/s40009-023-01218-x and Yeasin and Paul (2024) doi:10.1007/s11227-023-05542-3.

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-release-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
33%1 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.4K
CRAN downloads in the past year
Rank #22,524 · ~7/day · ~202/mo
Daily download trend is not available in this view yet.
21030 days
59190 days
2.4K1 year
Compare downloads with other packages →
Also on371 r2u5 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing EEML adds 4 packages (0 with compiled code, 69 KB of source tarballs). Heaviest: metaheuristicOpt 52 KB, MCS 13 KB, WeightedEnsemble 2.3 KB.

Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2024)
Listed in earlier versions (1)
no longer listed · 0.1.0
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1Latest
    record
    2024-08-01 · current release · diff ↗
  • 0.1.0
    record
    2024-07-14
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-07-14
Total releases
2 / 2 yrs
License
GPL-3 OSI
Download size
3.0 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EEML")
Paul, D. R. K., Haldar, D. D., & Yeasin, D. M. (2024). EEML: Ensemble Explainable Machine Learning Models (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.EEML

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EEML version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy