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Table 3 Performance of DeepEP and comparing methods (models with different ratios (1:1, 1:1.5, 1:2, 1:2.5 and 1:3) and a model which uses raw dataset for training)

From: DeepEP: a deep learning framework for identifying essential proteins

Ratios (Essential VS non-essential)

Accuracy

Precision

Recall

F-measure

AUC

1: 1

0.732

0.408

0.674

0.508

0.783

1: 1.5

0.758

0.437

0.605

0.507

0.785

1: 2

0.784

0.479

0.545

0.510

0.791

1: 2.5

0.796

0.504

0.518

0.511

0.783

1: 3

0.801

0.521

0.449

0.482

0.788

Raw dataset

0.832

0.675

0.353

0.463

0.803

Our method

0.826

0.584

0.524

0.552

0.816