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画决策树 画决策树
数据准备本示例我们使用红酒数据集。 >>> from sklearn import datasets >>> from sklearn.datasets import load_wine >>> wine_dataset = load_wi
决策树相关习题 决策树相关习题
《机器学习》课后习题–周志华4.1 试证明对于不含冲突数据(即特征向量完全相同但标记不同)的训练集,必存在与训练集一致(即训练误差为 0) 的决策树。答: 从原书p74的图4.2的决策树学习的基本算法可以看出,生成一个叶节点有三种情况
关于决策树你该知道哪些? 关于决策树你该知道哪些?
工具和技巧 graphviz 画出决策树 超参数的学习曲线:以超参数的取值为横坐标,模型的度量指标为纵坐标的曲线,它是用来衡量不同超参数取值下模型的表现的线。 实验: 各个超参数学习曲线: criterion: gini, entropy
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