Table 3 Evaluation metrics of the predicted results obtained by the RK method under various trend functions.
From: Ground settlement prediction for highway subgrades with sparse data using regression Kriging
Order of the polynomial trend function | RMSE | MAPE | MAAPE | SCI | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S1 | S2 | S3 | S4 | S1 | S2 | S3 | S4 | S1 | S2 | S3 | S4 | S1 | S2 | S3 | S4 | |
First-order | 2.5 | 5.21 | 3.86 | 3.17 | 0.02 | 0.03 | 0.03 | 0.02 | 0.02 | 0.03 | 0.03 | 0.02 | 0.02 | 0.04 | 0.04 | 0.02 |
Second-order | 58.98 | 49.57 | 23.65 | 6.02 | 0.41 | 0.28 | 0.18 | 0.03 | 0.36 | 0.27 | 0.18 | 0.03 | 0.54 | 0.37 | 0.26 | 0.14 |
Third-order | 107.37 | 48.98 | 15.35 | 17.77 | 0.65 | 0.23 | 0.12 | 0.09 | 0.48 | 0.22 | 0.11 | 0.09 | 0.98 | 0.36 | 0.14 | 0.13 |
