Precedent-Based Adaptive Modelling Framework for Basketball Win-Prediction
The empirical prediction of outcomes in competitive sports, particularly basketball, remains a complex challenge due to inherent game variability and the difficulty in discerning replicable strategic adaptations from random fluctuations, especially in the case of unexpected results ("upsets"). This thesis addresses this by introducing and evaluating novel features designed to enhance the
