Regression on Calorie Expenditure Prediction
1,447Leaderboard PercentileMCTS-Outcome
Evaluation Results
| Method | Links | |
|---|---|---|
| MCTS-OutcomeBase LLM=GPT-4o2025.11 | 1,447 | |
| MCTS-ShapedBase LLM=GPT-4o2025.11 | 1,447 | |
| Hierarchical MCTSBase LLM=GPT-4o2025.11 | 1,447 | |
| LATSBase LLM=GPT-4o2025.11 | 1,343 | |
| ReActBase LLM=GPT-4o2025.11 | 16 | |
| MCTS-ShapedBase Model=GPT-4.1-mini2025.11 | 14.43 | |
| Hierarchical MCTSBase Model=GPT-4.1-mini2025.11 | 14.43 | |
| LATSBase Model=GPT-4.1-mini2025.11 | 13.41 | |
| ReActBase Model=GPT-4.1-mini2025.11 | 4.31 | |
| MCTS-OutcomeBase Model=GPT-4.1-mini2025.11 | 0 |