Table 11.
Average accuracy of different feature subsets of the three-class classification experiment.
| Number of features | Accuracy of SVM | Accuracy of J48 | The average accuracy of each set of features |
|---|---|---|---|
| Using 20 Features | 100% | 92.81% | 96.40% |
| Using 10 Features | 100% | 93.50% | 96.75% |
| Using 5 Features | 93.14% | 91.48% | 92.31% |
| Using 3 Features | 89.63% | 89.96% | 89.79% |
| Using 2 Features | 87.11% | 88.66% | 87.89% |
| Using 1 Feature | 85.18% | 86.77% | 85.98% |