Multiclass Diabetes Dataset

Published: 26 February 2024| Version 1 | DOI: 10.17632/jpp8bsjgrm.1
Abdus Sahid,


This refined dataset is originally based on the "Diabetes Dataset" uploaded by Ahlam Rashid in Mendeley Data. The link to the original dataset is: The original dataset contains a total of 1000 subjects divided into three classes: diabetic, non-diabetic, and predict-diabetic. Among the 1000 subjects, 844 are diabetic, 103 are non-diabetic, and 53 are predict-diabetic, resulting in an extreme class imbalance. We found a total of 174 duplicate subjects in the original dataset, which we subsequently removed. After removing the duplicate subjects, there were 690 diabetic, 96 non-diabetic, and 40 predict-diabetic subjects remaining. From the 826 unique subjects, we selected 128 diabetic, 96 non-diabetic, and 40 predict-diabetic subjects, resulting in a new dataset with a moderate class imbalance.



Hajee Mohammad Danesh Science and Technology University


Applied Sciences, Health Informatics, Diabetes