Table 2.
SVM performance
| FP | FN | TP | TN | SN | SP | TA | MCC | AUC | |
|---|---|---|---|---|---|---|---|---|---|
| FAR | 12 | 7 | 40 | 129 | 85.106 | 91.489 | 89.894 | 0.741 | 0.936 |
| MID | 37 | 14 | 63 | 194 | 81.818 | 83.983 | 83.442 | 0.608 | 0.913 |
| CLOSE | 51 | 22 | 53 | 174 | 70.667 | 77.333 | 75.667 | 0.437 | 0.802 |
| NAGNAG-P | 121 | 47 | 150 | 276 | 76.142 | 69.521 | 71.717 | 0.432 | 0.785 |
| NAGNAG-D | 53 | 75 | 122 | 124 | 61.929 | 70.056 | 65.775 | 0.32 | 0.698 |
The table displays the number of false positives (FP), true positives (TP), false negatives (FN), true negatives (TN), sensitivity (SN), specificity (SP), total accuracy (TA) as well as The Matthews correlation coefficient (MCC) and the AUC value for the different datasets.