该GitHub存储库展示了一个机器学习项目，重点是使用随机森林回归模型将鸢尾花分类为三个物种。该项目包括数据清理、可视化、超参数调整和模型评估，结果是令人印象深刻的97.77%的准确性。
This GitHub repository showcases a machine learning project focused on classifying Iris flowers into three species using a Random Forest Regressor model. The project includes data cleaning, visualization, hyperparameter tuning, and model evaluation, resulting in an impressive 97.77% accuracy. (2023-09-19, Others, 0KB, 下载0次)