Skip to main content

Table 3 Results of an enhancer classification trial (trial 9 in Table 4) on the independent test dataset

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

Training : Validation (Ratio 4:1)

ACC (%)

AUC (%)

SN(%)

SP (%)

MCC

Model 1 (Parts 2, 3, 4, 5 : Part 1)

0.700

0.764

0.780

0.620

0.405

Model 2 (Parts 1, 3, 4, 5 : Part 2)

0.660

0.740

0.720

0.600

0.322

Model 3 (Parts 1, 2, 4, 5 : Part 3)

0.670

0.730

0.850

0.490

0.364

Model 4 (Parts 1, 2, 3, 5 : Part 4)

0.665

0.715

0.660

0.670

0.330

Model 5 (Parts 1, 2, 3, 4 : Part 5)

0.600

0.681

0.680

0.520

0.203

Ensemble Model

0.695

0.759

0.840

0.550

0.408

  1. The highest value for each metric is in bold