Conditional Anomaly Detection on Housing (UCI ML)
71.3Mean Anomaly Agreement Score (AUC)SoftHAD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SoftHADNumber of runs=100, Train-test split=2/3, 1/32026.04 | 71.3 | 3.2 | |
| SoftHADNumber of runs=100, Train-test split=(2/3, 1/3), Label switch rate=3%2026.04 | 71.3 | 3.2 | |
| SoftHAD2026.05 | 71.3 | 3.2 | |
| SVMNumber of runs=100, Train-test split=2/3, 1/3, Kernel type=RBF2026.04 | 58.5 | 4.4 | |
| SVMNumber of runs=100, Train-test split=(2/3, 1/3), Label switch rate=3%, kernel=RBF2026.04 | 58.5 | 4.4 | |
| SVM2026.05 | 58.5 | 4.4 | |
| QDANumber of runs=100, Train-test split=2/3, 1/32026.04 | 56.7 | 1.5 | |
| QDANumber of runs=100, Train-test split=(2/3, 1/3), Label switch rate=3%2026.04 | 56.7 | 1.5 | |
| QDA2026.05 | 56.7 | 1.5 | |
| wk–NNNumber of runs=100, Train-test split=2/3, 1/32026.04 | 44.4 | 2 | |
| wk–NNNumber of runs=100, Train-test split=(2/3, 1/3), Label switch rate=3%2026.04 | 44.4 | 2 | |
| weighted k-NN2026.05 | 44.4 | 2 | |
| 1-class SVMNumber of runs=100, Train-test split=2/3, 1/3, Kernel type=RBF2026.04 | 27.2 | 0.5 | |
| 1-class SVMNumber of runs=100, Train-test split=(2/3, 1/3), Label switch rate=3%2026.04 | 27.2 | 0.5 | |
| one-class SVM2026.05 | 27.2 | 0.5 |