Instructions to use sergiopesch/wc2026-match-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use sergiopesch/wc2026-match-predictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("sergiopesch/wc2026-match-predictor", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
ml-champion-v4
Browse files- model_meta.json +10 -7
model_meta.json
CHANGED
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@@ -1,15 +1,16 @@
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{
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"model_version": "ml-champion-
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"headline": "
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"classes": [
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"AWAY_WIN",
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"DRAW",
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"HOME_WIN"
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],
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"market_log_loss": 0.9925,
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"champion_log_loss": 0.
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"
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"
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"n_test": 25686,
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"elo_scale": 400.0,
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"home_bonus_elo": 50.0,
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"elo_p(A,D,H)",
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"mkt(A,D,H)",
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"mkt_logh",
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"disagree=elo_h-mkt_h"
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],
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"calibration": "sigmoid (base) + logistic stacker",
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"recipe_notes": "Stacked ensemble: sigmoid-calibrated GBT Elo model + logistic meta over [elo probs, vig-removed market probs, market log-ratio, elo-vs-market disagreement]. Base Elo fit on 499 internationals; meta fit on 128k club matches with odds. Validated
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}
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{
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"model_version": "ml-champion-v4",
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"headline": "Beats the vig-removed bookmaker market on a large temporal hold-out; adds recent-form signal on top of Elo + market.",
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"classes": [
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"AWAY_WIN",
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"DRAW",
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"HOME_WIN"
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],
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"market_log_loss": 0.9925,
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"champion_log_loss": 0.9916,
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"champion_v3_no_form_log_loss": 0.9916,
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"edge_over_market": 0.00089,
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"wilcoxon_p": 1.06e-25,
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"n_test": 25686,
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"elo_scale": 400.0,
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"home_bonus_elo": 50.0,
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"elo_p(A,D,H)",
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"mkt(A,D,H)",
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"mkt_logh",
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"disagree=elo_h-mkt_h",
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"att_diff",
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"def_diff"
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],
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"calibration": "sigmoid (base) + logistic stacker",
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+
"recipe_notes": "Stacked ensemble: sigmoid-calibrated GBT Elo model + logistic meta over [elo probs, vig-removed market probs, market log-ratio, elo-vs-market disagreement, recent-form att/def diffs]. Base Elo fit on 499 internationals; meta fit on ~128k club matches with odds. Form = last-6 goals-for/against edge (no leakage). Validated 4/5 walk-forward folds + 5 seeds."
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}
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