Reproducible ML pipeline evaluating temporal leakage in Expected Pass Turnovers (xPT) models for football analytics. Compares 4 algorithms (mixed-effects logistic, penalised logistic, random forest, XGBoost) across leakage-inclusive and leakage-corrected feature sets. Supporting code for manuscript under review.
machine-learning random-forest reproducible-research cross-validation xgboost sports-science sports-analytics data-leakage football-analytics shap-analysis r-statistics temporal-validation expected-pass-turnovers
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