Random Forest Regression for Drug Solubility Prediction in Cosolvent Media

This notebook uses a Random Forest Regressor to model drug solubility based on cosolvent system variables. It highlights feature importance, model robustness, and generalization ability.

本笔记本基于助溶剂体系变量，采用随机森林回归器（Random Forest Regressor）构建药物溶解度预测模型，并着重展示了特征重要性、模型鲁棒性与泛化能力。