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Benchmarks
Classification on gisette (test)
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0.083
Loss
OEHG
0.066516
0.177783
0.28905
0.400317
Feb 20, 2026
Loss
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Loss
Accuracy
OEHG
K (inner iterations)=1
2026.02
0.083
97.7
OEHG
Model Type=Support Vec...
2026.02
0.0879
97.6
OEHG
Model Type=Logistic Re...
2026.02
0.1056
97.3
RHG
K (inner iterations)=256
2026.02
0.18
95.52
RHG
K (inner iterations)=128
2026.02
0.2187
93.87
RHG
Model Type=Support Vec...
2026.02
0.2421
92.66
RHG
K (inner iterations)=64
2026.02
0.3225
90.55
RHG
Model Type=Logistic Re...
2026.02
0.3766
89.82
AID-CG
Model Type=Logistic Re...
2026.02
0.3821
89.49
T-RHG
Model Type=Support Vec...
2026.02
0.3896
85.92
T-RHG
Model Type=Logistic Re...
2026.02
0.4951
85.49
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