Fig. 4
From: Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Visualized heat map of the variable combination of four medical examiners (training set) based on LIME. The direction of feature action is shown by color, blue (feature weight > 0) means the feature supports the outcome variable, red (feature weight < 0) means the feature opposes the outcome variable; the color shade refers to the degree of influence of the feature on the outcome variable, and the dark color indicates that the feature has a large influence on the metabolic syndrome