Table 11 MAPE comparative performance metric results between the proposed HHO-SVR model and other hybrid SVR approaches for dataset 1009 (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

0.0049599

0.0049606

0.0049677

0.0048836

0.0049609

0.0049618

0.0054783

0.0049347

2

0.0049599

0.0049605

0.0049677

0.0048836

0.0049606

0.0049604

0.0054772

0.0049338

3

0.0049599

0.0049605

0.0049677

0.0048836

0.0049598

0.0049603

0.0054772

0.0049338

4

0.0049599

0.0049605

0.0049623

0.0048836

0.0049598

0.0049603

0.0054772

0.0049338

5

0.0049599

0.0049604

0.0049623

0.0048836

0.0049598

0.0049603

0.0054772

0.0049338

6

0.0049599

0.0049603

0.0049623

0.0048836

0.0049598

0.0049603

0.0054772

0.0049338

7

0.0049599

0.0049603

0.0049623

0.0048836

0.0049598

0.0049603

0.0054772

0.0049338

8

0.0049599

0.0049600

0.0049623

0.0048836

0.0049598

0.0049602

0.0054772

0.0049338

9

0.0049599

0.0049600

0.0049623

0.0048836

0.0049598

0.0049602

0.0054772

0.0049338

10

0.0049599

0.0049600

0.0049623

0.0048836

0.0049598

0.0049602

0.0054772

0.0049327