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Table 7 TNBC classification from the other molecular subtypes in the TCGA dataset, using 1046 features and 100 signature

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

  TNBC-100 TNBC-1046 Other-100 Other-1046 Global-100 Global-1046
#Samples 135 135 629 629 764 764
Gradient Boosting 0.9111 0.8963 0.9857 0.9857 0.9725 0.9699
Random Forest 0.8889 0.8815 0.9905 0.9905 0.9725 0.9712
Logistic Regression 0.8963 0.9630 0.9793 0.9587 0.9647 0.9593
Passive Aggressive 0.8815 0.9630 0.9714 0.9523 0.9556 0.9540
SGD 0.8000 0.8222 0.9809 0.9841 0.9490 0.9555
SVC 0.8444 0.8963 0.9666 0.9825 0.9451 0.9673
Ridge 0.8000 0.7259 0.9825 0.9237 0.9503 0.8888
Bagging 0.8444 0.8963 0.9793 0.9825 0.9555 0.9673
Average 0.8583 0.8806 0.9795 0.9700 0.9582 0.9542