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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