Automated Theorem Proving On Holstep 1
Metrics
Classification Accuracy
Results
Performance results of various models on this benchmark
Model Name | 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 | - |
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