Datasets:
DOI:
License:
| cff-version: 1.2.0 | |
| message: "If you use this software/dataset, please cite it as below." | |
| title: "Sport Intelligence Benchmark" | |
| authors: | |
| - family-names: "Calò" | |
| given-names: "Federico" | |
| orcid: "https://orcid.org/0009-0004-4102-281X" | |
| version: "1.0.0" | |
| date-released: "2026-07-14" | |
| repository-code: "https://github.com/fedcal/sport-intelligence-benchmark" | |
| license: MIT | |
| type: dataset | |
| keywords: | |
| - "sports-analytics" | |
| - "brier-score" | |
| - "lightgbm" | |
| - "benchmark" | |
| - "synthetic-dataset" | |
| abstract: "Ensemble V2 LightGBM meta-learner methodology and a synthetic reproduction dataset for football match outcome prediction. Code: MIT. Contents of `data/`: CC-BY-4.0." | |
| doi: 10.5281/zenodo.21602378 | |
| # NON abilitare l'integrazione Zenodo-GitHub su questo repo: creerebbe un secondo record concorrente per lo stesso artefatto (D-10). | |