Research Article
Assessment for Thermal Conductivity of Frozen Soil Based on Nonlinear Regression and Support Vector Regression Methods
Table 4
Statistics of prediction results of the ternary fitting model and SVR model.
| Predictive model | Statistical values | Silty clay | Silt | Weathered rock | Fine sand | Gravel sand | Boulder | Breccia |
| Ternary fitting method | R2 | 0.76 | 0.79 | 0.9 | 0.91 | 0.93 | 0.87 | 0.78 | MAPE ≤ 10% | 63.30% | 68% | 76.36% | 76% | 76.74% | 77.08% | 65.38% | | 26.6% | 22.88% | 16.78% | 19.62% | 22.11% | 19.73% | 25.3% |
| SVR model | R2 | 0.84 | 0.86 | 0.91 | 0.92 | 0.94 | 0.94 | 0.85 | MAPE ≤ 10% | 74.74% | 83.64% | 72.55% | 78.43% | 79.07% | 83.33% | 69.81% | | 20.47% | 19.89% | 19.62% | 17.49% | 15.62% | 13.23% | 20.04% |
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