Research Article
A Framework for Prediction of Response to HCV Therapy Using Different Data Mining Techniques
Table 4
Performances of 6 iterations of AC with selected features.
| AC number | Generated rules | Filtered rules | TP | TN | Positive predictive value % | Negative predictive value % | Sensitivity % | Specificity % | AUC % | Accuracy % |
| AC1 | 116 | 56 | 10 | 25 | 76.9 | 67.6 | 45.5 | 89.3 | 67.4 | 70 | AC2 | 119 | 58 | 9 | 29 | 81.8 | 74.4 | 47.4 | 93.5 | 70.5 | 76 | AC3 | 113 | 60 | 11 | 29 | 78.6 | 80.5 | 61.1 | 90.6 | 75.9 | 80 | AC4 | 112 | 59 | 12 | 29 | 85.7 | 80.6 | 63.2 | 93.5 | 78.4 | 82 | AC5 | 118 | 60 | 13 | 31 | 86.7 | 88.6 | 76.5 | 93.9 | 85.2 | 88 | AC6 | 119 | 61 | 18 | 28 | 100 | 87.5 | 81.8 | 100 | 90.9 | 92 |
| Average | 12 | 29 | 84.95 | 79.87 | 62.58 | 93.47 | 78.05 | 81.33 |
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