Table 1 The properties of the datasets obtained from the UCI repository
From: A voting-based machine learning approach for classifying biological and clinical datasets
Dataset name | #instances | #features | #classes | Data type | Missing values |
|---|---|---|---|---|---|
LIV | 345 | 6 | 2 | Numerical and binary | NO |
PID | 768 | 8 | 2 | numerical | NO |
SHD | 270 | 13 | 2 | Numerical and binary | NO |
CHD2 | 303 | 13 | 2 | Numerical and binary | NO |
CHD5 | 303 | 13 | 5 | Numerical and binary | NO |
HEP | 150 | 19 | 2 | Numerical and binary | YES |
PAR | 197 | 22 | 2 | Real | YES |
WDBC | 569 | 31 | 2 | Real | NO |
LUNG | 32 | 56 | 3 | Numerical and binary | YES |
ARRYTM | 452 | 279 | 16 | Double | YES |
PARKINSON | 756 | 754 | 2 | Numerical and binary | NO |
ARCENE | 900 | 10,000 | 2 | Numerical | NO |
GENEEXPR | 801 | 20,531 | 5 | Double | NO |