Research Article
Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm
Table 4
Best performance of the ML model according to highest R2 for the testing dataset.
| | ML model | Training dataset | Testing dataset | | R2 | RMSE (×10−11 m/s) | MAE (×10−11 m/s) | MAPE | R2 | RMSE (×10−11 m/s) | MAE (×10−11 m/s) | MAPE |
| | SVM | 0.725 | 0.867 | 0.436 | 0.244 | 0.819 | 0.199 | 0.181 | 0.282 | | KNN | 0.688 | 0.889 | 0.504 | 0.300 | 0.960 | 0.248 | 0.179 | 0.211 | | LightGBM | 0.573 | 1.068 | 0.779 | 0.860 | 0.960 | 0.484 | 0.362 | 0.639 | | RF | 0.948 | 0.367 | 0.215 | 0.147 | 0.961 | 0.236 | 0.196 | 0.238 | | GB | 0.999 | 0.047 | 0.037 | 0.043 | 0.971 | 0.199 | 0.161 | 0.185 |
|
|