毒蘑菇
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资源简介：
本数据集为蘑菇毒性分类数据集，共包含8124条样本，涵盖22个蘑菇物理特征（如菌盖形状、气味、菌柄颜色等）和1个目标标签（可食用/有毒）。 数据集用于机器学习课程作业，已完成缺失值处理、特征编码与模型训练，通过随机森林算法实现蘑菇毒性的二分类预测，测试集准确率达到100%。
This dataset is a mushroom toxicity classification dataset with a total of 8124 samples. It covers 22 physical features of mushrooms, such as cap shape, odor, stipe color and others, plus one target label indicating whether the mushroom is edible or poisonous. This dataset is intended for machine learning course assignments. It has been processed with missing value handling, feature encoding and model training. The Random Forest algorithm is adopted to implement binary classification prediction of mushroom toxicity, achieving 100% accuracy on the test set.
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阿里云天池创建时间：
2026-06-02
