Research Article
Application of Data Mining Technology on Surveillance Report Data of HIV/AIDS High-Risk Group in Urumqi from 2009 to 2015
Table 10
Performance measures of the classifiers for IDU dataset.
| Testing criteria | RF | SVM | KNN | DT |
| Confusion matrix | 6151 | 149 | 5389 | 911 | 6003 | 297 | 4299 | 2001 | 524 | 5726 | 1162 | 5088 | 854 | 5396 | 1610 | 4640 | Accuracy (%) | 94.6375 | 83.4821 | 90.8287 | 71.2271 | Sensitivity (%) | 91.6160 | 81.4080 | 86.3360 | 74.2400 | Specificity (%) | 97.6349 | 85.5397 | 95.2857 | 68.2381 | Precision (%) | 97.4638 | 84.8141 | 94.7831 | 69.8690 | Recall (%) | 91.6160 | 81.4080 | 86.3360 | 74.2400 | AUC (%) | 98.7495 | 91.3571 | 98.0208 | 74.3879 |
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