Table 10 MAPE comparative performance metric results between the proposed HHO-SVR model and other hybrid SVR approaches for dataset 1007 (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

0.0033643

0.0033647

0.0033689

0.0033578

0.0033652

0.0033650

0.0035089

0.0033862

2

0.0033643

0.0033646

0.0033689

0.0033578

0.0033643

0.0033650

0.0035084

0.0033859

3

0.0033643

0.0033646

0.0033689

0.0033578

0.0033643

0.0033650

0.0035082

0.0033843

4

0.0033643

0.0033646

0.0033679

0.0033578

0.0033643

0.0033644

0.0035080

0.0033837

5

0.0033642

0.0033646

0.0033679

0.0033578

0.0033643

0.0033644

0.0035080

0.0033837

6

0.0033642

0.0033646

0.0033679

0.0033578

0.0033641

0.0033641

0.0035080

0.0033836

7

0.0033642

0.0033644

0.0033679

0.0033578

0.0033641

0.0033641

0.0035080

0.0032486

8

0.0033642

0.0033643

0.0033679

0.0033578

0.0033641

0.0033640

0.0035080

0.0032469

9

0.0033640

0.0033642

0.0033679

0.0033578

0.0033641

0.0033640

0.0035080

0.0032430

10

0.0033640

0.0033642

0.0033666

0.0033578

0.0033641

0.0033640

0.0035080

0.0032429