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Table 2 Accuracy for each classifier in a 10-fold cross-validation for the comparison between Tumor Tissue (TT) and Normal Tissue (NT) for 1046 and 100 features

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

Classifier 100-NT 100-TT 1046-NT 1046-TT 100-Global 1046-Global
Gradient Boosting 0.8612 0.9944 0.8707 0.9950 0.9846 0.9859
Random Forest 0.8091 0.9978 0.7256 0.9985 0.9839 0.9785
Logistic Regression 0.8423 0.9908 0.8659 0.9764 0.9799 0.9683
Passive Aggressive 0.7177 0.9798 0.8123 0.9728 0.9606 0.9611
SGD 0.8060 0.9902 0.7445 0.9936 0.9767 0.9754
SVC(linear) 0.8517 0.9892 0.8218 0.9771 0.9791 0.9657
Ridge 0.2997 0.9981 0.5994 0.9923 0.9470 0.9635
Bagging 0.8028 0.9953 0.7792 0.9966 0.9812 0.9807