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Table 8 Molecular subtype classification of Breast Cancer to separate TNBC from other breast cancer subtypes using the 100-miRNA signature, on the GEO dataset

From: Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection

  TNBC Other Global
#Samples 139 44 183
Gradient Boosting 0.9353 0.7500 0.8909
Random Forest 0.9424 0.6136 0.8634
Logistic Regression 0.9065 0.6590 0.8476
Passive Aggressive 0.8561 0.7045 0.8197
SGD 0.9065 0.5227 0.8145
SVC 0.8561 0.7727 0.8355
Ridge 0.8993 0.6136 0.8300
Bagging 0.9496 0.7727 0.9070
Average 0.9065 0.6761 0.8511