FedCal/sport-intelligence-benchmark
Sport Intelligence Benchmark Ensemble V2 LightGBM meta-learner methodology and a synthetic reproduction dataset for football match outcome prediction, reported as two distinct, deliberately never-reconciled results (D-07). Reproducible: python run_benchmark.py --seed 42 against the shipped synthetic sample (data/derived_sample.csv, itself generated via python export_dataset.py --rows 4000 --seed 42 --output data/derived_sample.csv) prints a Brier score (3-class summed, range… See the full description on the dataset page: https://huggingface.co/datasets/FedCal/sport-intelligence-benchmark.
| Author / organization | FedCal |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 133 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 July 2026 |
| Last updated at source | 26 July 2026 |
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