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.

ModelTP rate (%)FP rate (%)Precision (%)F-measure (%)Class

RBF-SVM90.48.291.791.0Landslide
91.89.690.591.1No landslide
PL-SVM90.27.992.091.1Landslide
92.19.890.491.2No landslide
DT95.59.590.993.2Landslide
90.54.595.292.8No landslide
NB83.211.088.485.7Landslide
89.016.884.186.5No landslide