F1
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Black-box Optimization | f1 | NPR Mean20.7083 | 20 | |
| Tool Calling | F1 Average | Tool Call Name F191.37 | 16 | |
| Multi-objective Optimization | F1 | Hypervolume1.011 | 14 | |
| Global Optimization | F1 | Final Error0 | 14 | |
| Distributed black-box consensus optimization | F1 | Mean Cost22,100 | 5 | |
| Function Approximation | f1 1D oscillatory function (test) | Test MSE1.73 | 4 | |
| Race Outcome Prediction | F1 Aggregate 2018-2026 | Winner Hit Rate64.5 | 1 | |
| Race Outcome Prediction | F1 2025 Season | Winner Hit Rate62.5 | 1 | |
| Race Outcome Prediction | F1 2024 Season | Winner Hit Rate62.5 | 1 | |
| Race Outcome Prediction | F1 2023 Season | Winner Hit Rate72.7 | 1 | |
| Race Outcome Prediction | F1 2021 Season | Winner Hit Rate72.7 | 1 | |
| Race Outcome Prediction | F1 2019 Season | Winner Hit Rate61.9 | 1 | |
| Race Outcome Prediction | F1 2018 Season | Winner Hit Rate45 | 1 |
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