Unsupervised Anomaly Detection With Specified 6
评估指标
AUC-ROC
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | AUC-ROC |
|---|---|
| deep-autoencoding-gaussian-mixture-model-for | 0.883 |
| deep-unsupervised-anomaly-detection | 0.702 |
| robust-subspace-recovery-layer-for | 0.814 |
| shell-theory-a-statistical-model-of-reality | 0.896 |
| locally-varying-distance-transform-for | 0.854 |
| isolation-forest | 0.721 |