The paper is organized as follows: The datasets and feature creation process are described in the first section, which also describes the multi-label classification models employed for classification and the resampling methods. The following section describes Shapley Additive Explanations (SHAP) feature importance method, followed by the results of classification models, feature importance, and feature fusion analysis. The last section contains the conclusions.