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. 2021 Jun 4;4:95. doi: 10.1038/s41746-021-00467-8

Fig. 3. SHapley Additive exPlanations (SHAP) beeswarm summary plot of SHAP values distribution of each feature of the test dataset.

Fig. 3

The plot depicts the relative importance, impact, and contribution of different features on the output of a influenza vs COVID-19-positive, b influenza vs other, and c COVID-19-positive vs COVID-19-negative predictive models. The summary plot combines feature importance with feature effects. The features on the y-axis are ordered according to their importance. Each point on the summary plot is a SHapley value for a feature and an instance (i.e., a single patient encounter in this case) in the dataset. The position of each point on the x-axis shows the impact that feature has on the classification model’s prediction for a given instance. The color represents the high (red) to low (blue) values of the feature (i.e., Age, BMI etc.).