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
Github repo