Figure 4.

Comparison of the full and the compact CatBoost models. The full model was developed based on all available features while the compact was derived based on key features selected by the recursive feature elimination algorithm. Both models had optimized hyperparameters. (A) Receiver operating characteristic curves (ROCs) of the full and the compact models. Distribution of the impacts each feature had on the output of the full model (B) or compact model (C) estimated using the SHapley Additive exPlanations (SHAP) values. The plot sorts features by the sum of SHAP value magnitude over all samples. The blue to red color represents the feature value (red high, blue low). The x-axis measures the impacts on the model output (right positive, left negative).