Table 9 MAPE comparative performance metric results between the proposed HHO-SVR model and other hybrid SVR approaches for dataset 1005 (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

0.0052068

0.0052073

0.0052256

0.0052210

0.0052105

0.0052139

0.0052293

0.0051539

2

0.0052068

0.0052073

0.0052152

0.0052210

0.0052093

0.0052090

0.0052292

0.0051539

3

0.0052068

0.0052073

0.0052127

0.0052210

0.0052088

0.0052090

0.0052292

0.0051529

4

0.0052068

0.0052073

0.0052127

0.0052210

0.0052088

0.0052074

0.0052292

0.0051529

5

0.0052068

0.0052073

0.0052090

0.0052210

0.0052088

0.0052074

0.0052292

0.0051529

6

0.0052068

0.0052073

0.0052090

0.0052210

0.0052088

0.0052071

0.0052292

0.0051525

7

0.0052068

0.0052073

0.0052090

0.0052210

0.0052088

0.0052069

0.0052292

0.0051525

8

0.0052068

0.0052073

0.0052090

0.0052210

0.0052088

0.0052069

0.0052292

0.0051522

9

0.0052068

0.0052073

0.0052090

0.0052210

0.0052088

0.0052069

0.0052285

0.0051522

10

0.0052068

0.0052071

0.0052090

0.0052210

0.0052088

0.0052069

0.0052285

0.0051521