Table 3 Scoring system and obtained accuracy indicators.

From: Satin bowerbird optimizer-neural network for approximating the capacity of CFST columns under compression

Number

Model

Training phase

Testing phase

RMSE

MAPE

MAE

R

Overall

RMSE

MAPE

MAE

R

Overall

Obtained indicator

BSA-ANN

1554.91

4.1591

1137.59

0.99485

–

1507.82

4.3821

1186.11

0.99485

–

EWA-ANN

6408.07

19.9943

5056.13

0.90565

–

5906.41

17.4724

4556.12

0.91217

–

SOSA-ANN

4653.58

16.0975

3652.30

0.95233

–

4559.30

15.7898

3614.79

0.95068

–

SSA-ANN

1233.51

3.7931

965.20

0.99663

–

1418.51

4.2317

1119.15

0.99519

–

WDA-ANN

1247.45

3.4434

947.07

0.99655

–

1406.62

3.6884

1047.78

0.99522

–

SBO-ANN

934.15

2.5060

669.75

0.99817

–

927.09

2.3082

625.36

0.99802

–

Score

BSA-ANN

3

3

3

3

12

3

3

3

3

12

EWA-ANN

1

1

1

1

4

1

1

1

1

4

SOSA-ANN

2

2

2

2

8

2

2

2

2

8

SSA-ANN

5

4

4

5

18

4

4

4

4

16

WDA-ANN

4

5

5

4

18

5

5

5

5

20

SBO-ANN

6

6

6

6

24

6

6

6

6

24