Table 2 Dataset description
From: Chronic kidney disease prediction using machine learning techniques
Description | Values |
|---|---|
Data source | St. Paul’s Hospital, Addis Ababa, Ethiopia |
Period | 2018 to 2019 |
No. of instances | 1718 |
No. of features | 19 |
Class | Both binary and multi class (5 stages) |
End-stage renal disease stage (stage five) | 25.67% |
Severe stage (stage four) | 23.22% |
Moderate stage (stage three) | 20.61% |
Mild stage (stage two) | 14.44 |
Percentage of negative samples | 16.07% |