Anomaly Detection on Pneumonia PORT
20.2AUC (Specificity 95-100%)NCA
Evaluation results
| Method | Links | |
|---|---|---|
| NCAModel Category=non-parametric, Scope=local, Selection=softmax, #cases=402026.05 | 20.2 | |
| NCAModel Category=non-parametric, Scope=global, Selection=softmax, #cases=22862026.05 | 18 | |
| MahalanobisModel Category=parametric, Scope=local, Selection=NB, #cases=402026.05 | 17.6 | |
| RCAModel Category=parametric, Scope=local, Selection=NB, #cases=402026.05 | 17.6 | |
| NCAModel Category=parametric, Scope=local, Selection=NB, #cases=402026.05 | 16.8 | |
| EuclideanModel Category=parametric, Scope=local, Selection=NB, #cases=402026.05 | 16.4 | |
| MahalanobisModel Category=non-parametric, Scope=local, Selection=softmax, #cases=402026.05 | 15 | |
| RCAModel Category=non-parametric, Scope=local, Selection=softmax, #cases=402026.05 | 12.8 | |
| MahalanobisModel Category=non-parametric, Scope=global, Selection=softmax, #cases=22862026.05 | 12.2 | |
| RCAModel Category=non-parametric, Scope=global, Selection=softmax, #cases=22862026.05 | 11.6 | |
| Naive Bayes (any metric)Model Category=parametric, Scope=global, Selection=NB, #cases=22862026.05 | 11.6 | |
| EuclideanModel Category=non-parametric, Scope=global, Selection=softmax, #cases=22862026.05 | 8 | |
| EuclideanModel Category=non-parametric, Scope=local, Selection=softmax, #cases=402026.05 | 8 |