Table 2.
The performance of various classification methods on raw and processed data.
| Sensitivity % | Specificity % | Accuracy % | Resubstitution % | Cross Validation Error % | ||
|---|---|---|---|---|---|---|
| Raw Data | NB Gaussian | 7.14 | 50 | 31.25 | 68.75 | 54.17 |
| NB Kernel | 12.5 | 12.5 | 12.5 | 87.5 | 87.5 | |
| Extracted Features | NB Gaussian | 38.46 | 73.68 | 59.38 | 40.63 | 31.2 |
| NB Kernel | 44.44 | 73.91 | 65.63 | 34.38 | 33.3 | |
| SVM | 20 | 58.82 | 40.63 | 59.38 | 53.12 | |
| Normalized Extracted Features | NB Gaussian | 66.67 | 90 | 81.25 | 18.75 | 16.67 |
| NB Kernel | 70 | 86.36 | 81.25 | 18.75 | 13.12 | |
| SVM | 50 | 80 | 68.75 | 31.25 | 18.75 | |