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Figure 4: Summary graph of the influence of features on the decision making of the radscore model and interactions between the features in the model. The figure shows not only the 13 most important features but also their impact on the model output. Each point represents a case in the dataset. The color of the point represents the value of the element. Blue represents the lowest range, while red represents the highest range. The horizontal axis shows the corresponding Shapley value of the feature. A positive Shapley value represents a decision conducive to adhesion and vice versa

Figure 4: Summary graph of the influence of features on the decision making of the radscore model and interactions between the features in the model. The figure shows not only the 13 most important features but also their impact on the model output. Each point represents a case in the dataset. The color of the point represents the value of the element. Blue represents the lowest range, while red represents the highest range. The horizontal axis shows the corresponding Shapley value of the feature. A positive Shapley value represents a decision conducive to adhesion and vice versa