Automated Theorem Proving On Holstep 1
Métriques
Classification Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Classification Accuracy | Paper Title | Repository |
|---|---|---|---|
| FormulaNet-basic | 0.890 | Premise Selection for Theorem Proving by Deep Graph Embedding | - |
| FormulaNet | 0.900 | Premise Selection for Theorem Proving by Deep Graph Embedding | - |
| 1D CNN | 0.83 | HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving | - |
| 1D CNN-LSTM | 0.83 | HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving | - |
0 of 4 row(s) selected.