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Benchmarks
Classification on Synthetic multi-task
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90
Accuracy
RMB-CLE
59.944
67.747
75.55
83.353
Feb 15, 2026
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
RMB-CLE
Local Ensemble=LGBM
2026.02
90
Cluster-Known
Local Ensemble=LGBM
2026.02
90
ST-LGBM
2026.02
78.9
RMB-CLE
Local Ensemble=MTGB
2026.02
76.7
Cluster-Known
Local Ensemble=MTGB
2026.02
76.7
ST-GB
2026.02
75.9
MTGB
2026.02
69.8
R-MTGB
2026.02
69
DP-LGBM
2026.02
61.6
TaF-LGBM
2026.02
61.6
DP-GB
2026.02
61.1
TaF-GB
2026.02
61.1
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