Table 10.
Average accuracy of different feature subsets of the two-class classification experiment.
| Number of features | Accuracy of SVM | Accuracy of J48 | Average accuracy of each set of features |
|---|---|---|---|
| Using 20 Features | 100% | 95.79% | 97.90% |
| Using 10 Features | 100% | 95.96% | 97.98% |
| Using 5 Features | 95.76% | 95.00% | 95.38% |
| Using 3 Features | 92.97% | 93.27% | 93.12% |
| Using 2 Features | 91.95% | 91.51% | 91.73% |
| Using 1 Feature | 90.19% | 90.19% | 90.19% |