**7. Conclusions**

According to the construction and the evaluation of the RF model, a new method for predicting the potential damage is built in this article. Compared to the typical method, interrelationships of variables are analyzed through RF data mining. The excellent performance of the model is achieved with high accuracy and good interpretability by model optimization. It is concluded that:


**Author Contributions:** Conceptualization, X.G. and P.H.; methodology, X.G.; validation, X.G. and P.H.; formal analysis, X.G. and P.H.; investigation, X.G.; resources, X.G.; data curation, X.G.; writing— original draft preparation, X.G.; writing—review and editing, X.G.; visualization, X.G.; supervision, P.H.; project administration, P.H.; funding acquisition, P.H. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** The data used to support the findings of this study are available from the corresponding author upon request.

**Acknowledgments:** This work was supported by my supervisor, Peiwen Hao. The authors would like to thank Peiwen Hao for excellent technical support and Jinghui Hou for critically helping in my life.

**Conflicts of Interest:** The authors declare no conflict of interest.
