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Benchmarks
Classification on AI-READI Scenario B — Negative-Class Undersampling (train)
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17.16
Accuracy
LLaMA*
-11.8352
-4.3076
3.22
10.7476
Jan 21, 2026
Accuracy
Precision
Recall
F1 Score
AUC
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Precision
Recall
F1 Score
AUC
LLaMA*
Augmentation=CF Added,...
2026.01
17.16
16.13
16.39
16.39
23.53
BioMistral*
Augmentation=CF Added,...
2026.01
14.82
14.52
13.11
14.75
20.59
GPT-4
Augmentation=CF Added,...
2026.01
6.86
4.84
4.92
4.92
8.82
LLaMA
Augmentation=CF Added,...
2026.01
5.93
3.23
3.28
3.28
5.88
BioMistral
Augmentation=CF Added,...
2026.01
4.52
1.61
1.64
1.64
4.41
NN
Data Condition=Model t...
2026.01
-10.72
-8.82
-10.29
-10.29
-12.82
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