Table 9 Classification accuracy of noise data at 10% noise level.
Data set | Classifier | RAW | Noised data | AFFS | FRDM | MPRB | MCEFS |
|---|---|---|---|---|---|---|---|
HCE | SVM | 67.87 | 45.59 | 45.59 | 45.53 | 47.75 | 48.35 |
| Â | KNN | 63.03 | 45.16 | 45.16 | 44.44 | 44.45 | 45.09 |
TME | SVM | 75.62 | 75.10 | 62.06 | 67.09 | 68.18 | 69.81 |
| Â | KNN | 68.33 | 60.26 | 49.22 | 57.78 | 52.97 | 59.06 |
GL | SVM | 97.19 | 85.87 | 85.87 | 85.87 | 78.79 | 87.25 |
| Â | KNN | 94.83 | 85.41 | 85.41 | 84.48 | 92.12 | 86.32 |
CB | SVM | 85.00 | 77.33 | 68.64 | 78.26 | 83.36 | 80.67 |
| Â | KNN | 84.52 | 79.64 | 58.38 | 83.02 | 82.36 | 82.57 |
IR | SVM | 95.90 | 93.33 | 76.62 | 92.67 | 91.61 | 92.67 |
| Â | KNN | 95.24 | 92.00 | 70.52 | 92.00 | 87.68 | 94.00 |
Average | — | 82.75 | 73.97 | 64.75 | 73.11 | 72.94 | 74.58 |
