Anomaly Detection on Multimodal smart grid dataset 0% noise (test) benchmark leaderboard · SOTA2 Research

Anomaly Detection on Multimodal smart grid dataset 0% noise (test)

80AccuracyMS-SVDD-ω2

Evaluation Results

Method	Links
MS-SVDD-ω22025.02		80	95	65	73	79	5.856	0.424	1.4	0.12	88	86
MS-SVDD-ω42025.02		80	84	76	78	80	3.374	0.279	2	0.08	92	80
MS-SVDD-ω82025.02		80	95	65	73	78	13.57	1.313	1.5	0.14	86	85
MS-SVDD-ω92025.02		79	84	74	77	79	11.806	0.876	6.4	0.1	90	36
MS-SVDD-ω62025.02		77	93	61	71	75	5.827	0.387	1.5	0.16	84	85
MS-SVDD-ω72025.02		77	85	70	74	77	3.666	0.395	2.3	0.08	92	77
MS-SVDD-ω02025.02		76	93	58	69	74	2.303	0.476	0.3	0.3	70	97
MS-SVDD-ω12025.02		76	93	58	69	74	2.868	0.385	0.4	0.26	74	96
MS-SVDD-ω32025.02		76	93	59	69	74	8.064	0.43	0.3	0.26	74	97
MS-SVDD-ω52025.02		76	85	66	72	75	3.399	0.526	1.7	0.12	88	83
OCSVM2025.02		72	99	44	64	66	0.915	0.346	0.7	0.4	60	93
CCSSVDD2025.02		67	85	49	63	65	55.58	0.652	3.4	0.38	62	66
CCSSVDD2025.02		49	90	9	50	29	47.158	0.011	—	1	0	0
MS-SVDD-ω12025.02		48	84	12	49	32	0.336	0.011	—	1	0	0
MS-SVDD-ω32025.02		48	88	7	49	25	0.491	0.012	—	1	0	0
MS-SVDD-ω92025.02		48	84	12	49	32	8.237	0.024	—	1	0	0
MS-SVDD-ω22025.02		47	84	10	48	29	0.403	0.01	—	1	0	0
MS-SVDD-ω72025.02		47	84	11	48	30	1.049	0.022	—	1	0	0
MS-SVDD-ω82025.02		47	85	9	48	28	10.258	0.005	—	1	0	0
OCSVM2025.02		46	80	12	47	30	0.002	0.001	—	1	0	0
MS-SVDD-ω42025.02		46	85	7	48	25	0.328	0.008	—	1	0	0
MS-SVDD-ω52025.02		45	77	13	47	31	0.445	0.01	—	1	0	0
MS-SVDD-ω02025.02		40	71	10	44	26	0.177	0.004	—	1	0	0
MS-SVDD-ω62025.02		40	71	10	44	26	1.075	0.01	—	1	0	0