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Table 3 Comparative performance analysis of the enhancer predictions in K562

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

Classifiers Precision Recall F-score Number of predicted enhancer bases (Portion in whole genome)
RFSVM-ENCOE 83.69 % 4.92 % 9.29 % 120,670,200(3.89 %)
CSI_ANN 67.36 % 9.05 % 15.96 % 34,635,309(1.12 %)
RFECS 69.56 % 10.16 % 17.74 % 130,723,329(4.22 %)
DEEP-ENCODE 83.56 % 3.45 % 6.62 % 28,238,758(0.91 %)