Review Article
Recent Progress of Anomaly Detection
Table 4
AUC of the anomaly detection algorithms with k=10 for the neighbours.
| Dataset | kNN | ODIN | LOF | LoOP | RBDA | OR | SOD | FB | HiCS |
| ALOI | 0.66 | 0.80 | 0.78 | 0.80 | / | 0.57 | 0.72 | / | / | Ionoshere | 0.49 | 0.51 | 0.57 | 0.71 | 0.89 | 0.24 | 0.76 | 0.88 | 0.80 | KDDCup99 | 0.70 | 0.60 | 0.59 | 0.81 | / | / | 0.91 | / | / | PenDigits | 0.90 | 0.88 | 0.90 | 0.88 | 0.56 | 0.47 | 0.91 | 0.80 | 0.81 | Sonar | 0.60 | 0.60 | 0.61 | 0.66 | 0.60 | 0.49 | 0.51 | 0.57 | 0.59 | WDBC | 0.64 | 0.80 | 0.69 | 0.76 | 0.89 | 0.96 | 0.90 | 0.94 | 0.98 | Waveform | 0.53 | 0.52 | 0.48 | 0.54 | 0.70 | 0.57 | 0.63 | 0.73 | 0.73 | Arrhythmia | 0.75 | 0.68 | 0.73 | 0.72 | 0.73 | 0.68 | 0.71 | 0.73 | 0.69 | Ann-thyroid | 0.52 | 0.50 | 0.50 | 0.52 | 0.69 | 0.54 | 0.47 | 0.72 | 0.54 | HeartDisease | 0.52 | 0.48 | 0.46 | 0.59 | 0.52 | 0.55 | 0.61 | 0.52 | 0.46 | Pima | 0.59 | 0.49 | 0.49 | 0.62 | 0.58 | 0.54 | 0.65 | 0.50 | 0.54 | SpamBase | 0.58 | 0.50 | 0.51 | 0.53 | 0.47 | 0.46 | 0.55 | 0.48 | 0.52 | Arcene | 0.46 | 0.46 | 0.45 | 0.46 | 0.46 | 0.52 | 0.47 | 0.40 | 0.49 | ALLAML | 0.71 | 0.66 | 0.69 | 0.69 | 0.70 | 0.70 | 0.72 | 0.69 | / | DLBCL | 0.40 | 0.39 | 0.40 | 0.42 | 0.40 | 0.41 | 0.36 | 0.41 | 0.40 | Gisette | 0.56 | 0.55 | 0.58 | 0.56 | 0.57 | 0.58 | 0.71 | 0.58 | 0.44 | Lung_MPM | 0.80 | 0.63 | 0.73 | 0.73 | 0.71 | 0.69 | 0.71 | 0.73 | 0.75 | Ovarian | 0.32 | 0.38 | 0.38 | 0.46 | 0.43 | 0.43 | 0.37 | 0.38 | 0.44 |
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