Research Article
Evaluation of Different Machine Learning Models for Predicting Soil Erosion in Tropical Sloping Lands of Northeast Vietnam
Table 2
Performance metrics of five soil erosion prediction models.
| Metrics | FKNN | ANN | SVM | LSSVM | RVM | Mean | Std | Mean | Std | Mean | Std | Mean | Std | Mean | Std |
| Training phase | CAR (%) | 100.00 | 0.00 | 92.72 | 0.95 | 96.21 | 0.71 | 93.02 | 0.69 | 92.22 | 0.86 | AUC | 1.00 | 0.85 | 0.97 | 0.00 | 0.97 | 0.01 | 0.94 | 0.01 | 0.98 | 0.00 | TPR | 1.00 | 0.00 | 0.90 | 0.01 | 0.95 | 0.01 | 0.88 | 0.01 | 0.90 | 0.02 | FPR | 0.00 | 0.00 | 0.05 | 0.01 | 0.03 | 0.01 | 0.02 | 0.01 | 0.05 | 0.01 | FNR | 0.00 | 0.00 | 0.10 | 0.01 | 0.05 | 0.01 | 0.12 | 0.01 | 0.10 | 0.02 | TNR | 1.00 | 0.00 | 0.95 | 0.01 | 0.97 | 0.01 | 0.98 | 0.01 | 0.95 | 0.01 |
| Testing phase | CAR (%) | 83.19 | 6.33 | 88.33 | 5.62 | 85.97 | 7.62 | 88.61 | 5.12 | 91.94 | 5.99 | AUC | 0.91 | 0.05 | 0.95 | 0.03 | 0.86 | 0.09 | 0.91 | 0.05 | 0.97 | 0.03 | TPR | 0.86 | 0.09 | 0.88 | 0.08 | 0.89 | 0.07 | 0.83 | 0.09 | 0.91 | 0.08 | FPR | 0.20 | 0.11 | 0.11 | 0.10 | 0.17 | 0.13 | 0.06 | 0.08 | 0.07 | 0.09 | FNR | 0.14 | 0.09 | 0.13 | 0.08 | 0.11 | 0.07 | 0.17 | 0.09 | 0.09 | 0.08 | TNR | 0.80 | 0.11 | 0.89 | 0.10 | 0.83 | 0.13 | 0.94 | 0.08 | 0.93 | 0.09 |
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