Average AUC for six different anomaly detection approaches on the microarray anomaly detection compendium

The following table shows the average (over 20 replicates) area under the ROC curve (AUC) for different anomaly detection approaches on the microarray anomaly detection compendium

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#	Data set	One-class SVM	LOF (l1 norm)	LOF (l2 norm)	FRaC	FRaC+GSEA	CSAX
1	atrt	1.00	1.00	1.00	1.00	0.99	0.99
2	bcat	0.97	0.95	0.97	0.97	0.92	0.87
3	bild	0.78	0.77	0.82	0.88	0.98	1.00
4	biomarkers	0.59	0.93	0.95	0.95	0.93	0.94
5	breast.basal	0.75	0.69	0.70	0.76	0.77	0.73
6	breast.er	0.65	0.78	0.81	0.83	0.78	0.82
7	desmoplastic	0.43	0.41	0.46	0.43	0.41	0.53
8	diabetes	0.49	0.45	0.48	0.49	0.42	0.44
9	downs	0.65	0.66	0.64	0.64	0.52	0.58
10	ethnic	0.59	0.65	0.65	0.66	0.64	0.67
11	gender	0.85	0.65	0.84	0.83	0.72	0.98
12	hematopoiesis	0.69	0.79	0.89	0.89	0.85	0.92
13	leukemia	0.93	0.88	0.92	0.93	0.89	0.93
14	lymphomas	0.59	0.84	0.85	0.87	0.87	0.81
15	meningiomas	0.55	0.61	0.66	0.65	0.66	0.69
16	meta.1.2	1.00	0.94	1.00	0.98	0.74	0.87
17	mind.body	0.43	0.61	0.59	0.54	0.56	0.53
18	multitumor	1.00	0.88	0.99	1.00	1.00	0.99
19	revlimid	0.64	0.47	0.64	0.56	0.60	0.66
20	ross2	0.96	0.91	0.96	0.98	0.95	0.98
21	ross3	0.98	1.00	0.98	1.00	1.00	1.00
22	roth07	0.63	0.59	0.62	0.67	0.59	0.65
23	sepsis	0.61	0.64	0.62	0.68	0.54	0.64
24	shakes	0.43	0.45	0.44	0.45	0.42	0.43
25	smokers	0.65	0.62	0.62	0.58	0.58	0.60
26	smokers2	0.55	0.63	0.65	0.72	0.74	0.73
27	survey	0.61	0.67	0.71	0.88	0.81	0.86
28	tzd	0.57	0.54	0.56	0.60	0.61	0.59