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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 %