Table 2 The performance comparison of four methods on three datasets under CV1.

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

0.7278

0.3991

0.0643

0.4092

0.7026

SMiR-NBI

0.8086

0.2164

0.0366

0.2296

0.5806

LRLSHMDA

0.1299

0.6171

0.0084

0.6057

0.1844

VDA-RWR

0.4977

0.7959

0.1055

0.7905

0.8157

Dataset 2

NGRHMDA

0.3987

0.5521

0.0329

0.5495

0.4301

SMiR-NBI

0.8238

0.0949

0.0332

0.1087

0.4003

LRLSHMDA

0.3507

0.4667

0.0179

0.4643

0.3173

VDA-RWR

0.5106

0.6832

0.0844

0.6801

0.6932

Dataset 3

NGRHMDA

0.4435

0.4560

0.0232

0.4563

0.4058

SMiR-NBI

0.9124

0.0459

0.0227

0.0567

0.4092

LRLSHMDA

0.1801

0.5817

0.0074

0.5766

0.2920

VDA-RWR

0.5270

0.7025

0.0812

0.7006

0.7276

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