Fig. 3

Feature importance ranked by “mean absolute magnitude” of SHAP values using dataset 3. The model was developed for the 71 GG4 cases with available TMB values using 108 variables constituted by 95 genes, 12 clinical/radiological variables and TMB (dataset 3). Upper panel: mean absolute values corresponding to the magnitude of feature importance. Lower panel: summary plots for SHAP values; for each considered feature, a single patient is represented by one point. Along the x axis the position of a point corresponds to the logarithm of the mortality risk associated with that feature for a specific patients. This value corresponds to the impact that the feature had on the model output for that specific patient. Data clusters with SHAP values around zero indicate low impact on the model. Along the y axis, the different features are disposed according to their importance corresponding to the mean of their absolute SHAP values. Features with the higher importance are disposed on the upper part of the summary plots. SHAP, Shapley Additive exPlanation