Fig. 2
From: Predicting badminton outcomes through machine learning and technical action frequencies
feature selection and model evaluation. (A,B) Effect of Incremental Feature Addition on male/female model AUC, respectively. (C,D) SHAP values of top 5 important features on male/female model, respectively. (E) Confusion matrix for models. (F) Model evaluation performance illustrated by sensitivity, specificity, accuracy, PPV and NPV.
