Research Article
A Selective Ensemble Classification Method Combining Mammography Images with Ultrasound Images for Breast Cancer Diagnosis
Table 3
The performance of single classifier compared with the integrated classifiers on ultrasound images.
| | | Accuracy | Sensitivity | Specificity | NPV | PPV | AUC |
| | Naive Bayes-U | 71.83% | 54.84% | 85% | 70.83% | 73.91% | 0.6831 | | SVM-U | 84.51% | 87.10% | 82.50% | 89.19% | 79.41% | 0.8427 | | KNN-U | 73.24% | 77.42% | 70% | 80% | 66.67% | 0.7250 | | The integrated classifier (ultrasounds) | 85.92% | 83.87% | 87.50% | 87.50% | 83.87% | 0.8363 |
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