3 下面我们对鸢尾花的案例再次进行分析
from sklearn.tree import DecisionTreeClassifier from sklearn.neighbors import KNeighborsClassifier from sklearn.linear_model import LogisticRegression #导包加载数据 from sklearn.datasets import load_iris iris = load_iris() data = iris.data target = iris.target # 特征选择?? 方差选择 data.std(axis=0) # array([0.82530129, 0.43214658, 1.75852918, 0.76061262]) train = data[:,[0,3]] import matplotlib.pyplot as plt %matplotlib inline plt.scatter(train[:,0],train[:,1],c=target)机器学习之决策树(四) (3)
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