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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 %