A Comprehensive Examination, Execution, and Evaluation of Machine Learning Algorithms Applied to a Breast Cancer Dataset Utilizing the WEKA Software Tool
- DOI
- 10.9734/bpi/mcscd/v8/2986
- Published
- 2024-11-23
- Container
- Not recorded
- Publisher
- BP International
- Open access
- no
Credibility signals
limited evidence Score 49/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.9734/bpi/mcscd/v8/2986,
title = {A Comprehensive Examination, Execution, and Evaluation of Machine Learning Algorithms Applied to a Breast Cancer Dataset Utilizing the WEKA Software Tool},
author = {K Srikanth and S Zahoor Ul Huq and a P Siva Kumar},
year = {2024},
doi = {10.9734/bpi/mcscd/v8/2986},
url = {https://doi.org/10.9734/bpi/mcscd/v8/2986}
}RIS
TY - JOUR TI - A Comprehensive Examination, Execution, and Evaluation of Machine Learning Algorithms Applied to a Breast Cancer Dataset Utilizing the WEKA Software Tool AU - K Srikanth AU - S Zahoor Ul Huq AU - a P Siva Kumar PY - 2024 DO - 10.9734/bpi/mcscd/v8/2986 UR - https://doi.org/10.9734/bpi/mcscd/v8/2986 ER -
APA
Srikanth, K., Huq, S. Z. U., & Kumar, A. P. S. (2024). A Comprehensive Examination, Execution, and Evaluation of Machine Learning Algorithms Applied to a Breast Cancer Dataset Utilizing the WEKA Software Tool. https://doi.org/10.9734/bpi/mcscd/v8/2986
Source records
- hal · retrieved 2026-09-25T15:07:06.903Z