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Table 4 Results tesing on adipose with DNA sequence features

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

Classifiers

Precision

Recall

F-score

Accuracy

blood

20.77 %

33.75 %

25.71 %

82.27 %

liver

61.84 %

14.69 %

23.74 %

91.42 %

lung

40.07 %

34.06 %

36.82 %

89.38 %

kidney

53.42 %

26.87 %

35.76 %

91.22 %

RF-SVMs

23.61 %

51.25 %

32.31 %

87.53 %

DEEP-FANTOM5

69.92 %

18.30 %

28.74 %

89.20 %