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Table 5 Statistical results for each degree of polynomial kernel function of SVR in estimation of cloudless DLR and the statistically significant models are in italics

From: Deep learning and regression modelling of cloudless downward longwave radiation

Degree

Training phase (n = 143)

Testing phase (n = 62)

r

RMSE

MBE

ts

r

RMSE

MBE

ts

1

0.8238

11.7369

1.3666

1.0951

0.7738

12.1464

1.3254

0.9880

2

0.8307

11.6079

1.7796

1.3963

0.7872

11.8693

1.9158

1.4720

3

0.8328

11.5971

2.0420

1.6099

0.7727

12.3154

1.9494

1.4428

4

0.8322

11.5120

1.3902

1.0949

0.7711

12.1809

1.6670

1.2434

5

0.8407

11.2633

1.5587

1.2576

0.7621

12.5872

2.0242

1.4664

6

0.8515

10.8724

1.3523

1.1282

0.7728

12.1841

0.9570

0.7091

7

0.7682

13.3322

− 2.0421

1.3950

0.5689

23.4873

− 4.3354

1.6903

8

0.7929

12.5475

− 0.0403

0.0281

0.3595

57.8330

− 8.9456

1.4091

9

− 0.2772

102.237

− 27.5245

2.5159

0.1523

122.967

− 62.3317

5.2624

10

0.0539

1333.76

− 1230.32

21.5006

0.0319

1256.93

− 1216.31

34.5369

11

0.2260

182.977

− 177.028

34.4277

0.3211

185.898

− 181.001

38.4313

  1. Where n is the total number of observations