Fig. 4: SHAP values and importance of features at age 14 in the prediction of future multiple anxiety diagnoses (N = 42) vs. healthy control (N = 424).
From: Anxiety onset in adolescents: a machine-learning prediction
Each dot represents an individual in a given cross-validation iteration. Positive Shapley values indicate contribution of a feature value in favor of the positive class (future multiple anxiety diagnoses) prediction, negative Shapley values are in favor of the negative class (healthy control) prediction. Larger absolute Shapley values indicate larger impact on the model output. BNST bed nucleus of the stria terminalis, DmOFC dorsomedial orbitofrontal cortex. The 20 most contributing features are shown.
