Table 7 MAPE Comparative performance metric results between the proposed HHO-SVR model and other hybrid SVR approaches for dataset 1001 (50 Iterations and 10 Runs).

From: A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting

Run

EO-SVR

GWO-SVR

HGSO-SVR

BMO-SVR

MRFO-SVR

SSA-SVR

WOA-SVR

HHO-SVR

1

0.0033060

0.0032463

0.0032688

0.0032467

0.0032474

0.0032749

0.0033829

0.0032470

2

0.0033057

0.0032462

0.0032688

0.0032467

0.0032471

0.0032747

0.0033827

0.0032463

3

0.0033057

0.0032458

0.0032688

0.0032467

0.0032471

0.0032743

0.0033825

0.0032463

4

0.0033057

0.0032458

0.0032688

0.0032467

0.0032470

0.0032743

0.0033822

0.0032463

5

0.0033057

0.0032458

0.0032688

0.0032467

0.0032470

0.0032740

0.0033822

0.0031945

6

0.0033055

0.0032458

0.0032688

0.0032467

0.0032470

0.0032740

0.0033822

0.0031937

7

0.0033055

0.0032458

0.0032688

0.0032467

0.0032470

0.0032738

0.0033817

0.0031934

8

0.0033055

0.0032458

0.0032683

0.0032467

0.0032470

0.0032736

0.0033815

0.0031934

9

0.0033055

0.0032458

0.0032683

0.0032467

0.0032470

0.0032735

0.0033814

0.0031930

10

0.0033055

0.0032457

0.0032683

0.0032467

0.0032470

0.0032735

0.0033814

0.0031921