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ResearchFormerly WizWand

Classification on SVMGuide3 LibSVM (5-fold cross-val)

84.64Macro F1Dataforge
64.46469.70274.9480.178Nov 9, 2025
Updated 8mo ago

Evaluation results

MethodLinks
DataforgeLLM Backbone=Llama-3.2-3B, Evaluation Protocol=5-fold cross-validation2025.1184.64
OpenFEEvaluation Protocol=5-fold cross-validation2025.1183.05
ELLM-FTEvaluation Protocol=5-fold cross-validation2025.1182.7
ERGEvaluation Protocol=5-fold cross-validation2025.1182.62
AutoFeatEvaluation Protocol=5-fold cross-validation2025.1182.54
OriginalEvaluation Protocol=5-fold cross-validation2025.1181.85
CAAFEEvaluation Protocol=5-fold cross-validation2025.1181.74
FeatLLMEvaluation Protocol=5-fold cross-validation2025.1181.17
Pure LLMLLM Backbone=Llama 3.1, Evaluation Protocol=5-fold cross-validation2025.1181.17
RL-Policy-2 (MOAT)Evaluation Protocol=5-fold cross-validation2025.1181.17
TTGEvaluation Protocol=5-fold cross-validation2025.1179.81
RL-Policy-1 (GRFG)Evaluation Protocol=5-fold cross-validation2025.1179.81
AFATEvaluation Protocol=5-fold cross-validation2025.1179.49
NFSEvaluation Protocol=5-fold cross-validation2025.1179.16
RDGEvaluation Protocol=5-fold cross-validation2025.1178.68
PCAEvaluation Protocol=5-fold cross-validation2025.1167.6
LDAEvaluation Protocol=5-fold cross-validation2025.1165.24