7. Declarations
7.1. Acknowledgements
- To the one who believed and gave with unconditional love.
- One who did not believe and gave pain and misery. As turns out to be my best fertilizer, pushing me to the limit, to learn more, and to be a better person.
7.2. Funding
The author declare that no funds, grants, or other support were received during the preparation of this manuscript.
7.3. Competing Interests
The author has no relevant financial or non-financial interests to disclose
7.4. Ethical conduction
The author declares no conflict of interest with respect to the ethical conduct terms and conditions.
7.5. Data Availability
The following data support the findings of this study:
- The Seeds Dataset available in [UCI Machine Learning Repository] at https://doi.org/10.24432/C5H30K , reference \cite{Charytanowicz2010CompleteGC}
- The Heart Failure Clinical Records dataset available in [UCI Machine Learning Repository] at https://doi.org/10.24432/C5Z89R , reference \cite{Chicco_2020}
- The Fetal health Classification Dataset available in [Kaggle] at https://www.kaggle.com/andrewmvd/fetal-health-classification , reference \cite{Ayres_de_Campos_2000}
- The Dry Bean Dataset available in [UCI Machine Learning Repository] at https://doi.org/10.24432/C50S4B , reference \cite{Koklu2020MulticlassCO}
- Predict Students' Dropout and Academic Success Dataset available in [UCI Machine Learning Repository] at https://archive.ics.uci.edu/dataset/697/predict+students+dropout+and+academic+success , reference \cite{Martins_2021}
- Breast Cancer Wisconsin (Diagnostic) Dataset available in [UCI Machine Learning Repository] at https://archive.ics.uci.edu/dataset/17/breast+cancer+wisconsin+diagnostic , reference \cite{Street1993NuclearFE}