A low-dimensional, interpretable XGBoost model predicts pass success in football with F1 0.56, and identifies the distance between ball and receiver as the most important feature.
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Interpretable Low-Dimensional Modeling of Spatiotemporal Agent States for Decision Making in Football Tactics
A low-dimensional, interpretable XGBoost model predicts pass success in football with F1 0.56, and identifies the distance between ball and receiver as the most important feature.