Active Feature Acquisition on Cube-NM nc = 5, sigma = 0.1 benchmark leaderboard · SOTA2 Research

Active Feature Acquisition on Cube-NM nc = 5, sigma = 0.1

8.7Training Runtime (s)OL

Evaluation Results

Method	Links
OL2026.05		8.7
DiFA2026.05		9.1
GDFS2026.05		10.3
DIME2026.05		10.4
NM-PPG2026.05		12.6
GSMRL2026.05		17.9
SEFA2026.05		159
AACO2026.05		241
DiFA (m)2026.05		426
DIME (m)2026.05		466
OL2026.05		1,146
GDFS (m)2026.05		1,288
SEFA2026.05		1,491
NM-PPG2026.05		3,328
GSMRL2026.05		3,876
AACO2026.05		4,123