Table 4 Evaluation metrics of the predicted results obtained by the various prediction methods.
From: Ground settlement prediction for highway subgrades with sparse data using regression Kriging
Prediction method | RMSE | MAPE | MAAPE | SCI | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S1 | S2 | S3 | S4 | S1 | S2 | S3 | S4 | S1 | S2 | S3 | S4 | S1 | S2 | S3 | S4 | |
Hyperbolic method | 9.28 | 9.41 | 8.10 | 14.66 | 0.06 | 0.06 | 0.05 | 0.09 | 0.06 | 0.06 | 0.05 | 0.09 | 0.08 | 0.06 | 0.05 | 0.09 |
Exponential curve method | 15.34 | 15.20 | 16.58 | 20.79 | 0.11 | 0.09 | 0.14 | 0.13 | 0.11 | 0.09 | 0.14 | 0.13 | 0.14 | 0.09 | 0.14 | 0.13 |
Asaoka method | 15.38 | 13.24 | 16.52 | 22.90 | 0.11 | 0.08 | 0.14 | 0.14 | 0.11 | 0.08 | 0.14 | 0.14 | 0.14 | 0.08 | 0.14 | 0.14 |
GM(1,1) method | 15.59 | 15.08 | 15.64 | 19.90 | 0.11 | 0.09 | 0.13 | 0.12 | 0.11 | 0.09 | 0.13 | 0.12 | 0.11 | 0.09 | 0.13 | 0.12 |
BPNN | 20.52 | 26.31 | 16.39 | 25.63 | 0.16 | 0.17 | 0.14 | 0.16 | 0.15 | 0.16 | 0.14 | 0.16 | 0.15 | 0.16 | 0.14 | 0.16 |
RK method | 2.50 | 5.21 | 3.86 | 3.17 | 0.02 | 0.03 | 0.03 | 0.02 | 0.02 | 0.02 | 0.03 | 0.02 | 0.02 | 0.03 | 0.03 | 0.02 |
