Table 3 The evaluation metrics for testing phase of the different input combinations for each month.

From: Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting

Month

RMSE

MAE

MAPE

MBE

d

Max. (RE)

R2

August

1.477

1.210

6.803

−0.010

0.964

−19.364

0.882

September

1.176

0.969

5.694

0.006

0.988

−23.652

0.955

October

1.001

0.864

8.804

0.037

0.977

−37.833

0.922

November

0.472

0.365

5.208

−0.003

0.982

−15.193

0.937

December

0.281

0.229

4.475

0.002

0.969

−14.950

0.886

January

0.236

0.176

3.916

−0.002

0.969

15.641

0.892

February

0.167

0.130

3.655

0.003

0.978

−11.051

0.927

March

0.152

0.118

3.669

−0.0001

0.978

11.315

0.917

April

0.184

0.149

4.107

−0.006

0.967

−11.839

0.882

May

0.125

0.101

2.853

−0.004

0.979

7.775

0.920

June

0.164

0.134

4.449

−0.001

0.976

−9.871

0.912

July

0.566

0.413

7.121

0.014

0.964

−32.878

0.876