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Benchmarks
Active Feature Acquisition on Cube-NM nc = 5, sigma = 0.2
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9.2
Training Runtime (s)
DiFA
-260.472
1,559.814
3,380.1
5,200.386
May 6, 2026
Training Runtime (s)
Updated 26d ago
Evaluation Results
Method
Method
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Training Runtime (s)
DiFA
myopic=true
2026.05
9.2
DIME
myopic=true
2026.05
9.3
OL
2026.05
9.7
GDFS
myopic=true
2026.05
10.1
NM-PPG
2026.05
15.3
GSMRL
2026.05
19.5
SEFA
2026.05
130
AACO
2026.05
166
DiFA (m)
2026.05
428
DIME (m)
2026.05
450
GDFS (m)
2026.05
515
OL
2026.05
813
SEFA
2026.05
1,483
AACO
2026.05
2,604
NM-PPG
2026.05
3,337
GSMRL
2026.05
6,751
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