Research Article
Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
Table 4
Detailed accuracy assessment by classes of RBF-SVM, PL-SVM, DT, and NB models.
| Model | TP rate (%) | FP rate (%) | Precision (%) | F-measure (%) | Class |
| RBF-SVM | 90.4 | 8.2 | 91.7 | 91.0 | Landslide | 91.8 | 9.6 | 90.5 | 91.1 | No landslide | PL-SVM | 90.2 | 7.9 | 92.0 | 91.1 | Landslide | 92.1 | 9.8 | 90.4 | 91.2 | No landslide | DT | 95.5 | 9.5 | 90.9 | 93.2 | Landslide | 90.5 | 4.5 | 95.2 | 92.8 | No landslide | NB | 83.2 | 11.0 | 88.4 | 85.7 | Landslide | 89.0 | 16.8 | 84.1 | 86.5 | No landslide |
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