Table 5 Sample classification, thresholding approach results (expressed in percentage), no feature selection
| Â | No Feature Selection | ||||
|---|---|---|---|---|---|
Threshold | Classifier | Accuracy | Sensitivity | Specificity | F score |
50% | MLP | 78.72 ±41.15 | 70.59 | 88.37 | 78.67 |
45% | SVM | 78.72 ±41.15 | 74.51 | 83.72 | 78.75 |
40% | MLP | 80.85 ±39.56 | 80.39 | 81.39 | 80.87 |
35% | AdaBoost | 79.79 ±40.37 | 72.55 | 88.37 | 79.77 |
35% | MLP | 78.72 ±41.15 | 80.39 | 76.74 | 78.72 |
30% | SVM | 78.72 ±41.15 | 76.47 | 81.36 | 78.76 |
30% | AdaBoost | 77.66 ±41.88 | 74.51 | 81.40 | 77.70 |
25% | RF | 80.85 ±39.56 | 76.47 | 86.04 | 80.88 |
25% | AdaBoost | 78.72 ±41.15 | 80.39 | 76.74 | 78.72 |
20% | RF | 78.72 ±41.15 | 76.47 | 81.39 | 78.76 |
15% | RF | 78.72 ±41.15 | 82.35 | 74.41 | 78.67 |
10% | RF | 75.53 ±43.22 | 86.27 | 62.79 | 75.09 |
10% | AdaBoost | 71.28 ±45.49 | 92.16 | 46.51 | 69.46 |
5% | RF | 74.47 ±43.84 | 96.07 | 48.83 | 72.69 |