Table 11 Complexity analysis of ML and DL model on DTI Datasets.

From: Predicting drug-target interactions using machine learning with improved data balancing and feature engineering

Dataset

Model name

Training time (s)

Prediction time (s)

Total time (s)

BindingDB_Kd

DTC

2.808

0.007

2.814

MLP

57.502

0.047

57.548

RFC

11.697

0.206

11.903

FCNN

56.124

1.114

57.239

MHA-FCNN

60.584

1.482

62.066

DeepLPI

81.352

1.288

82.640

BarlowDTI

129.176

1.293

130.469

Komet

83.035

1.266

84.301

BindingDB_Ki

DTC

13.721

0.057

13.778

MLP

553.865

0.194

554.059

RFC

76.017

2.423

78.440

FCNN

309.454

5.399

314.854

MHA-FCNN

330.942

5.125

336.067

DeepLPI

454.559

5.170

459.729

BarlowDTI

731.753

5.097

736.850

Komet

465.687

5.162

470.849

BindingDB_IC50

DTC

52.293

0.163

52.456

MLP

741.861

0.550

742.411

RFC

244.949

7.019

251.967

FCNN

872.200

14.611

886.811

MHA-FCNN

913.661

14.015

927.676

DeepLPI

1285.881

13.784

1299.665

BarlowDTI

2115.441

13.698

2129.139

Komet

1336.914

13.869

1350.783