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 criteriaRFSVMKNNDT

Confusion matrix61511495389911600329742992001
524572611625088854539616104640
Accuracy (%)94.637583.482190.828771.2271
Sensitivity (%)91.616081.408086.336074.2400
Specificity (%)97.634985.539795.285768.2381
Precision (%)97.463884.814194.783169.8690
Recall (%)91.616081.408086.336074.2400
AUC (%)98.749591.357198.020874.3879