Table 3 The performance comparison of four methods on three datasets under CV2.

From: Prioritizing antiviral drugs against SARS-CoV-2 by integrating viral complete genome sequences and drug chemical structures

Datasets

Methods

Sensitivity

Specificity

F1 score

Accuracy

AUC

Dataset 1

NGRHMDA

0.6435

0.6719

0.0850

0.6713

0.8329

SMiR-NBI

0.8510

0.1917

0.0393

0.2064

0.6021

LRLSHMDA

0.7938

0.5773

0.1122

0.5820

0.8249

VDA-RWR

0.5070

0.8932

0.1294

0.8846

0.9182

Dataset 2

NGRHMDA

0.4867

0.8027

0.0719

0.7967

0.8017

SMiR-NBI

0.9971

0.0929

0.0404

0.1098

0.7205

LRLSHMDA

0.7720

0.4166

0.0639

0.4232

0.7334

VDA-RWR

0.5045

0.7981

0.0814

0.7926

0.8025

Dataset 3

NGRHMDA

0.4579

0.6785

0.0279

0.6758

0.6772

SMiR-NBI

0.9751

0.0434

0.0243

0.0549

0.5665

LRLSHMDA

0.7420

0.5264

0.0493

0.5290

0.7468

VDA-RWR

0.5054

0.8098

0.0628

0.8061

0.8168

  1. Bold values indicates the best values for the different methods under the same evaluation.
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