决策树回归算法

import numpy as np from sklearn.tree import DecisionTreeRegressor import matplotlib.pyplot as plt #建立一个随机数据集 rng = np.random.RandomState(1) X = np.sort(5*rng.rand(80,1),axis = 0) y = np.sin(X).ravel(

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