Table 1 Performance of NB using P scan and V scan together (60 training samples, 127 testing samples)
From: Automatic diagnosis of melanoma using machine learning methods on a spectroscopic system
| Â | Sensitivity | Specificity | Accuracy |
|---|---|---|---|
Run #1 | 100 | 86 | 87.4 |
Run #2 | 76.9 | 92.1 | 90.6 |
Run #3 | 100 | 91.2 | 92.1 |
Run #4 | 84.6 | 91.2 | 90.6 |
Run #5 | 76.9 | 88.6 | 87.4 |
Run #6 | 92.3 | 87.7 | 88.2 |
Run #7 | 100 | 87.7 | 89 |
Run #8 | 100 | 88.6 | 89.8 |
Run #9 | 100 | 87.7 | 89 |
Run #10 | 100 | 89.5 | 90.6 |
Run #11 | 69.2 | 89.5 | 87.4 |
Run #12 | 76.9 | 90.4 | 89 |
Run #13 | 92.3 | 89.5 | 89.8 |
Run #14 | 92.3 | 90.4 | 90.6 |
Run #15 | 76.9 | 88.6 | 87.4 |
Run #16 | 76.9 | 94.7 | 92.9 |
Run #17 | 84.6 | 89.5 | 89 |
Run #18 | 100 | 87.7 | 89 |
Run #19 | 92.3 | 87.7 | 88.2 |
Run #20 | 84.6 | 87.7 | 87.4 |
Run #21 | 92.3 | 90.4 | 90.6 |
Run #22 | 100 | 91.2 | 92.1 |
Run #23 | 100 | 85.1 | 86.6 |
Run #24 | 100 | 86.8 | 88.2 |
Run #25 | 46.2 | 93 | 88.2 |
Average | 88.6 | 89.3 | 89.2 |