Abstract
The purpose of this research is to understand how to implement machine learning in a practical scenario. There were two diabetes datasets[5][6] used for testing the machine learning models. These datasets contain information relevant to a person’s health, as well as whether that subject had diabetes. I used a total of four models, and three of those models were manually programmed. The model which was not manually programmed was used for comparison with a similar model. This research directly compares and shows the factors which affect the efficiency of each machine learning model.
Faculty Advisor
Hongbiao Zeng
Department/Program
Computer Science
Submission Type
in-person poster
Date
3-31-2025
Rights
Copyright the Author(s)
Recommended Citation
McDonnell, Wyatt and Zeng, Hongbiao
(2025)
"Experimenting With Machine Learning Using Diabetes Datasets,"
SACAD: Scholarly Activities: Vol. 2025, Article 71.
Available at:
https://scholars.fhsu.edu/sacad/vol2025/iss2025/71
Included in
Artificial Intelligence and Robotics Commons, Scholarship of Teaching and Learning Commons
