Conditional Anomaly Detection on Wine Quality (UCI) (2/3, 1/3 train-test)
75.1Mean Anomaly Agreement Score (AUC)QDA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| QDANumber of runs=100, Train-test split=2/3, 1/32026.04 | 75.1 | 1.3 | |
| QDA2026.05 | 75.1 | 1.3 | |
| SVMNumber of runs=100, Train-test split=2/3, 1/3, Kernel type=RBF2026.04 | 75 | 9.3 | |
| SVM2026.05 | 75 | 9.3 | |
| SoftHADNumber of runs=100, Train-test split=2/3, 1/32026.04 | 74.5 | 1.5 | |
| SoftHAD2026.05 | 74.5 | 1.5 | |
| wk–NNNumber of runs=100, Train-test split=2/3, 1/32026.04 | 67.6 | 1.4 | |
| weighted k-NN2026.05 | 67.6 | 1.4 | |
| 1-class SVMNumber of runs=100, Train-test split=2/3, 1/3, Kernel type=RBF2026.04 | 44.2 | 1.9 | |
| one-class SVM2026.05 | 44.2 | 1.9 |