Reproducibility Package for Feature Reduction and the Stability of Diabetes Prediction on the Pima Dataset

This reproducibility package accompanies the study “Feature Reduction and the Stability of Diabetes Prediction on the Pima Dataset: A Repeated, Leakage-Safe Cross-Validation Study.” It contains the reconstructed analysis code, archived and reproduced results, revised statistical comparisons, sensitivity analyses, and figure files. The README documents the software environment, the SHA-256 checksum of the analysis CSV, and the steps required to reproduce the results.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24061135
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Reproducibility Package for Feature Reduction and the Stability of Diabetes Prediction on the Pima Dataset

Iman Kadhim Ajlan, Azhar Abdulhameed Alkazali
4 links
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare
article

Reproducibility Package for Feature Reduction and the Stability of Diabetes Prediction on the Pima Dataset

Iman Kadhim Ajlan, Azhar Abdulhameed Alkazali
article en

Abstract

This reproducibility package accompanies the study “Feature Reduction and the Stability of Diabetes Prediction on the Pima Dataset: A Repeated, Leakage-Safe Cross-Validation Study.” It contains the reconstructed analysis code, archived and reproduced results, revised statistical comparisons, sensitivity analyses, and figure files. The README documents the software environment, the SHA-256 checksum of the analysis CSV, and the steps required to reproduce the results.

Zenodo (CERN European Organization for Nuclear Research)
University of Wasit (IQ), University of Technology Malaysia (MY)
Good health and well-being
Artificial Intelligence in Healthcare
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