Unsupervised Anomaly Detection With Specified 16
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 |
---|---|
robust-subspace-recovery-layer-for | 0.911 |
locally-varying-distance-transform-for | 0.940 |
isolation-forest | 0.876 |
shell-theory-a-statistical-model-of-reality | 0.756 |
deep-unsupervised-anomaly-detection | 0.847 |
deep-autoencoding-gaussian-mixture-model-for | 0.503 |