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Table 2 Results testing on adipose with ChIP-Seq datasets

From: eRFSVM: a hybrid classifier to predict enhancers-integrating random forests with support vector machines

Classifiers Precision Recall F-score Accuracy
blood 55.80 % 31.56 % 40.32 % 91.51 %
liver 80.73 % 27.50 % 41.03 % 92.81 %
lung 83.72 % 11.25 % 19.83 % 91.73 %
kidney 71.83 % 47.81 % 57.41 % 93.55 %
eRFSVM-FANTOM5 86.17 % 36.06 % 50.84 % 93.38 %
SVMs-ANN 65.30 % 28.07 % 39.26 % 92.58 %