Table 2 Statistics of dataset.

From: Performance analysis and modelling of circular jets aeration in an open channel using soft computing techniques

Training dataset

 

θ (°)

Q (L/s)

Jn (Number)

HRJn (cm)

Fr

E20

Mean

1.500

3.968

18.143

0.695

2.948

0.183

Median

1.500

3.840

8.000

0.553

2.735

0.193

Std. dev

1.240

0.560

21.494

0.464

1.110

0.063

Kurtosis

 − 1.538

 − 1.416

0.470

 − 0.666

 − 0.792

 − 0.741

Skewness

0.000

0.522

1.330

0.764

0.438

 − 0.107

Minimum

0.000

3.410

1.000

0.195

1.416

0.070

Maximum

3.000

4.750

64.000

1.564

5.577

0.322

Testing dataset

 

θ (°)

Q (L/s)

Jn (Number)

HRJn (cm)

Fr

E20

Mean

1.500

4.064

18.143

0.695

2.995

0.186

Median

1.500

3.840

8.000

0.553

3.188

0.187

Std. dev

1.255

0.578

21.761

0.469

1.144

0.064

Kurtosis

 − 1.579

 − 1.762

0.706

 − 0.587

0.624

 − 0.981

Skewness

0.000

0.237

1.383

0.794

1.036

 − 0.062

Minimum

0.000

3.410

1.000

0.195

1.896

0.093

Maximum

3.000

4.750

64.000

1.564

5.577

0.298

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