Fig. 2
From: Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding
Feature importance analysis of the model. A XGBoost-based feature importance ranking. Calculate the number of times the feature was used as a dividing attribute in all trees with the weight method. B In accordance with their mean absolute values, SHAP beeswarm plot for the ten features demonstrate the relationship between these features and the risk of delayed shedding of SARS-CoV-2. Each point represents one patient. High values of the features were shown in red and low values were shown in blue. C SHAP analysis exhibits the average impact on model output