04, min_samples = 19).fit_predict(x)
网格划分的细度:splits所能接受的补充样本的数量级:n_samples_level
算法-决策树-分类问题代码详解_min_samples_split-csdn博客
criterion='gini', max_depth=none,min_samples_split=2, min
越少 即一个样本一个叶子一个类 过拟合)min_samples_split(节点
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