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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Development of machine learning models for detection of vision threatening Behçet’s disease (BD) using Egyptian College of Rheumatology (ECR)–BD cohort

Fig. 2

Overall SHAP values for the variables in Shapely plots to display both the feature importance and feature contribution to the model prediction. Shapley plots show the SHAP values in the order of the important variables that contribute to VTBD. The x-axis represents the marginal contribution of a feature to the change in the predicted probability of development of VTBD. Colors indicate the value of the variable: red represents higher numerical values of the variable and blue represent lower numerical values. As all categorical variables were converted into binary indicators, zero (i.e., absence) is indicated with blue dots and one (i.e., presence) is represented by red dots

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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