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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