Anomaly Detection on ADBench High Dimensionality d > 100 (15 datasets) benchmark leaderboard · SOTA2 Research

Anomaly Detection on ADBench High Dimensionality d > 100 (15 datasets)

73.98ROC-AUCuLEAD-TabPFN

Evaluation Results

Method	Links
uLEAD-TabPFN2026.04		73.98	40.24
DTE-NP2026.04		71.94	34.45
ICL2026.04		71.14	37.59
LOF2026.04		71.05	35.15
FeatBag2026.04		70.85	—
kNN2026.04		70.55	33.54
CBLOF2026.04		67.49	—
DDPM2026.04		66.98	29.82
SLAD2026.04		66.36	31.24
FoMo-0D2026.04		65.46	30.55
DDAE2026.04		—	40.76
OCSVM2026.04		—	29.5