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