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NBA Win Predictor Model

An XGBoost classification model for predicting NBA regular season outcomes

• Engineered rolling and differential features including scoring averages, win percentages, point differentials, and schedule factors

• Hyperparameters tuned via Bayesian optimisation with time-series cross-validation

• calibrated using Platt scaling with threshold optimisation via precision-recall analysis

• Evaluated against baseline using accuracy, log loss, Brier score, ROC-AUC, and calibration curves