From: Private pathological assessment via machine learning and homomorphic encryption
Characteristic | Cleveland heart disease | Wisconsin breast cancer |
---|---|---|
No. of samples | 303 | 569 |
No. of features | 13 | 9 |
No. of classes | 2 | 2 |
Feature types | Numerical | Numerical |
Target variable | Binary (disease absence/presence) | Binary (malignant/benign) |
Source | Cleveland Clinic Foundation | University of Wisconsin Hospitals |
Class distribution | Imbalanced | Imbalanced |
Missing values | Present | None |