Table 6 Comparison of performance evaluation index of different models.

From: Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network

Model

C25 concrete

C30 concrete

HRB400 steel bars

MAPE

RMSE

R2

Time/s

MAPE

RMSE

R2

Time/s

MAPE

RMSE

R2

Time/s

RF

6.27%

0.452

0.861

45.1

6.73%

0.167

0.873

43.5

6.31%

0.172

0.887

42.5

XGBoost

5.23%

0.424

0.893

40.7

5.71%

0.142

0.902

41.4

5.44%

0.154

0.909

38.6

PGNN

4.42%

0.395

0.939

69.7

4.90%

0.132

0.947

68.0

5.31%

0.143

0.958

65.3

SSA-BP

3.95%

0.216

0.961

30.4

4.73%

0.097

0.970

32.6

3.60%

0.125

0.986

30.4

SSA-PGNN

3.29%

0.140

0.979

29.8

4.04%

0.079

0.983

30.7

2.43%

0.114

0.992

28.7