Fig. 6
From: TIHM: An open dataset for remote healthcare monitoring in dementia
The feature importance learned by the Logistic Regression model. The SHAP value14 of each feature represents its impact on the model output regarding a given input. The violin plot illustrates the distribution of SHAP values for each feature, which are estimated by test samples during the cross-validation. The colour indicates whether the raw value of a feature is high or low.
