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Performance Prediction on CQA (R^2, MAE)
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0.89
Train R^2
Rphi
0.10896
0.31173
0.5145
0.71727
Sep 25, 2025
Train R^2
Test MAE
Updated 24d ago
Evaluation Results
Method
Method
Links
Train R^2
Test MAE
Rphi
Scaling Scenario=1B ->...
2025.09
0.89
2.203
RBRIDGE
Scaling Scenario=1B ->...
2025.09
0.89
2.182
TED
Scaling Scenario=1B ->...
2025.09
0.677
3.01
Acc./p@1
Scaling Scenario=1B ->...
2025.09
0.666
3.989
iSFT
Scaling Scenario=1B ->...
2025.09
0.534
5.885
MPCA
Scaling Scenario=1B ->...
2025.09
0.323
1,697.096
NLL
Scaling Scenario=1B ->...
2025.09
0.139
5.483
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