Explainable comparative analysis of ML models for diabetes risk prediction
- Islamabad (unpublished) 2026
- ix, 87 p. : ill., Col. ; 30 cm. +CD
Submitted in fulfilment of the requirement for the degree of Master of Science in Data Science to the Faculty of Computing. Includes bibliographical references. Thesis supervisor: Prof. Dr. Muhammad Mansoor Alam
Thesis (MS)--Riphah International University, 2026
English
Data science--XGboost regression--Machine learning--Logistic regression--Vector machine--Diabeties--RISE