Research Article
A Framework for Prediction of Response to HCV Therapy Using Different Data Mining Techniques
Table 5
Performances of 6 iterations of DT with selected features.
| DT number | Number of nodes | Number of pruning levels | TP | TN | Positive predictive value % | Negative predictive value % | Sensitivity % | Specificity % | AUC % | Accuracy % |
| DT1 | 45 | 11 | 7 | 27 | 35.3 | 84.8 | 54.5 | 71.1 | 62.8 | 68 | DT2 | 51 | 9 | 7 | 28 | 38.9 | 87.5 | 60 | 71.8 | 66.9 | 70 | DT3 | 45 | 13 | 10 | 26 | 55.6 | 81.25 | 60 | 76.5 | 68.2 | 72 | DT4 | 53 | 17 | 8 | 28 | 44.4 | 90.6 | 70 | 74.4 | 72.2 | 74 | DT5 | 47 | 11 | 8 | 30 | 44.4 | 93.8 | 77.8 | 75 | 78.4 | 76 | DT6 | 61 | 11 | 8 | 32 | 47.0 | 97.0 | 88.9 | 77.5 | 83.2 | 80 |
| Average | 8 | 29 | 44.27 | 89.16 | 68.53 | 74.38 | 71.95 | 73.33 |
|
|