Table 3 Results of statistical parameters for various data-driven models.

From: Development of soft computing-based models for forecasting water quality index of Lorestan Province, Iran

Statistical Parameters

ANN-FFA

REPt

BREPt

GP_puk

GP_rbf

GEP

Training

 COC

0.9990

0.9804

0.9821

0.9911

0.9786

0.9935

 COD

0.9980

0.9612

0.9645

0.9823

0.9577

0.9871

 RMSE

0.3036

1.4668

1.4230

1.5925

5.2067

0.8899

 NSE

0.9980

0.9612

0.9635

0.9543

0.5110

0.9857

 MAPE (%)

0.7259

2.5430

2.5919

2.6894

11.6093

2.0344

Testing

 COC

0.9989

0.9659

0.9695

0.9710

0.9619

0.9842

 COD

0.9980

0.9330

0.9399

0.9428

0.9252

0.9686

 RMSE

0.3340

1.7215

1.6266

1.9545

4.6343

1.4299

 NSE

0.9979

0.9320

0.9393

0.9124

0.5073

0.9531

 MAPE (%)

0.7969

4.3074

3.5236

3.5735

12.5262

2.9659

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