Gao, Wan-LiZhang, QinZhao, Jing-TaoLiu, WenKong, Wei-LiangCai, Guang-YinQu, Tian-QuanPeng, Hong-JieLi, Wen-YuYang, Yu-GangZhou, YingfangQiu, Zhen2025-03-272025-03-272025-01Gao, W-L, Zhang, Q, Zhao, J-T, Liu, W, Kong, W-L, Cai, G-Y, Qu, T-Q, Peng, H-J, Li, W-Y, Yang, Y-G, Zhou, Y & Qiu, Z 2025, 'Transitional Shale Reservoir Quality Evaluation based on Random Forest Algorithm : a case study of the Shanxi Formation, Eastern Ordos Basin', Earth Science Informatics, vol. 18, no. 1, 157. https://doi.org/10.1007/s12145-024-01515-zhttps://hdl.handle.net/2164/25218We thank Jiang Chong of China University of Petroleum (Beijing) for his useful suggestions and opinions. We thank the editors and anonymous reviewers who refereed this paper for their valuable comments.202301468engReservoir qualityMachine learningOrdos basinTransitional shaleTA Engineering (General). Civil engineering (General)QE GeologySupplementary DataDASTAQEJournal article10.1007/s12145-024-01515-z181