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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