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Table 4 Independent test classifying strong enhancers and weak 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 0.650 0.728 0.680 0.620 0.301
2 0.710 0.795 0.880 0.540 0.447
3 0.695 0.751 0.920 0.470 0.437
4 0.670 0.749 0.750 0.590 0.344
5 0.660 0.724 0.720 0.600 0.322
6 0.690 0.779 0.810 0.570 0.391
7 0.670 0.736 0.740 0.600 0.343
8 0.660 0.728 0.750 0.570 0.325
9 0.695 0.759 0.840 0.550 0.408
10 0.675 0.735 0.820 0.530 0.366
Mean 0.678 0.748 0.791 0.564 0.368
SD 0.019 0.024 0.076 0.044 0.050