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Table 2 Independent test identifying enhancers and non-enhancers under 10 trials

From: iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks

No. of Trials ACC (%) AUC (%) SN (%) SP(%) MCC
1 0.768 0.831 0.780 0.755 0.535
2 0.765 0.834 0.790 0.740 0.531
3 0.770 0.835 0.775 0.765 0.540
4 0.768 0.831 0.795 0.740 0.536
5 0.773 0.832 0.785 0.760 0.545
6 0.778 0.837 0.800 0.755 0.556
7 0.773 0.832 0.780 0.765 0.545
8 0.773 0.832 0.780 0.765 0.545
9 0.758 0.830 0.785 0.730 0.516
10 0.763 0.830 0.780 0.745 0.525
Mean 0.769 0.832 0.785 0.752 0.537
SD 0.006 0.002 0.008 0.013 0.011