Table 2 The number of instances, features, majority, and minority as well as the class-imbalanced ratio (CIR) of five datasets used in this study
From: Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
Datasets | Instances | Features | Majority | Minority | CIR |
|---|---|---|---|---|---|
DLBCL | 77 | 6285 | 58 | 19 | 3.05 |
SRBCT | 83 | 2308 | 72 | 11 | 6.55 |
CAR | 174 | 9182 | 163 | 11 | 14.82 |
GLIOMA | 50 | 4434 | 43 | 7 | 6.14 |
LUNG | 41 | 3309 | 21 | 20 | 1.05 |