Table 19 Models’ performance scores based on Sungai Dungun test set.

From: Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms

Model

MAE

RMSE

R2

Rank (MAE)

Rank (RMSE)

Rank (R2)

RM

SVR1

22.0572

53.9440

0.8516

6

3

3

4.00

SVR2

21.1469

54.2140

0.8501

5

4

4

4.33

SVR3

20.7256

54.6478

0.8477

4

5

5

4.67

ANN1

18.8022

51.8025

0.8631

1

1

1

1.00

ANN2

18.9638

52.5147

0.8593

2

2

2

2.00

ANN3

20.3061

55.4433

0.8432

3

6

6

5.00

LSTM1

29.1170

76.3889

0.7024

7

7

7

7.00

LSTM2

29.8838

76.7408

0.6997

8

9

9

8.67

LSTM3

30.0394

76.4696

0.7018

9

8

8

8.33

  1. Significant values are in bold.