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EEML
View on CRAN: Click
here
Download and install EEML package within the R console
Install from CRAN:
install.packages("EEML")
Install from Github:
library("remotes")
install_github("cran/EEML")
Install by package version:
library("remotes")
install_version("EEML", "0.1.1")
Attach the package and use:
library("EEML")
Maintained by
Dr. Ranjit Kumar Paul
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-14
Latest Update: 2024-07-14
Description:
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. <doi:10.1007/s40009-023-01218-x> and Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.
How to cite:
Dr. Ranjit Kumar Paul (2024). EEML: Ensemble Explainable Machine Learning Models. R package version 0.1.1, https://cran.r-project.org/web/packages/EEML. Accessed 27 Feb. 2025.
Previous versions and publish date:
0.1.0 (2024-07-14 14:50)
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imports, suggests or enhances
Complete documentation for EEML
Functions, R codes and Examples using
the EEML R package
Full EEML package
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