Behavioral Anomaly Detection on NUMOSIM benchmark leaderboard · SOTA2 Research

Behavioral Anomaly Detection on NUMOSIM

89.04AUROCIBAD

Evaluation Results

Method	Links
IBAD2026.06		89.04	14.71
IBAD2026.06		88.75	13.99
Isolation Forest2026.06		88.67	13.83
Isolation Forest2026.06		88.35	13.06
GaussianHMM2026.06		86.38	14.21
GaussianHMM2026.06		86.33	13.16
OCSVM2026.06		84.29	11.43
OCSVM2026.06		84	10.79
Isolation Forest2026.06		79.91	6.51
IBAD2026.06		79.18	5.52
ICAD2026.06		77.56	10.64
TrajGenAgent2026.06		77.3	6.88
OCSVM2026.06		75.33	6.99
TrajGenAgent2026.06		74.96	5.93
ICAD2026.06		73.42	7.73
GaussianHMM2026.06		73.26	4.67
DeepSVDD2026.06		65.55	7.29
DeepSVDD2026.06		64.16	7.12
ICAD2026.06		60.33	2.17
TrajGenAgent2026.06		59.94	2.41
DeepSVDD2026.06		59.89	4.77
TOD4Traj2026.06		56.73	2.12
TOD4Traj2026.06		56.51	2.11
TOD4Traj2026.06		50.51	1.47
BeSTAD2026.06		50.43	1.56
BeSTAD2026.06		50.03	1.88
BeSTAD2026.06		50.02	1.88