Table 6 Comparison of prediction result between SVM and RS-SVM.
From: Evaluation modeling of highway collapse hazard based on rough set and support vector machine
Prediction algorithm | Training time (s) | Testing time (s) | Classification accuracy (%) |
|---|---|---|---|
SVM | 0.037082 | 0.034955 | 88.24 |
RS-SVM | 0.034878 | 0.032544 | 100 |
