ModuleNotFoundError: No module named ‘sklearn.cross_validation‘问题解决_from sklearn.metrics import accuracy_score modulen

在《Python数据科学手册》这本书的第306页“有监督学习：鸢尾花数据分类”这一小节中，如果按照其原文

from sklearn.cross_validation import train_test_split
Xtrain, Xtest, ytrain, ytest = train_test_split(X_iris, y_iris,
                                                random_state=1)

会报错

ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-92851cd519f2> in <module>
----> 1 from sklearn.cross_validation import train_test_split
      2 Xtrain, Xtest, ytrain, ytest = train_test_split(X_iris, y_iris,
      3                                                 random_state=1)
 
ModuleNotFoundError: No module named 'sklearn.cross_validation'

这是因为目前，这个train_test_split 是根据如下的语句导入的：

from sklearn.model_selection import train_test_split
#进行训练集和测试集的划分
Xtrain,Xtest,ytrain,ytest = train_test_split(X_iris,y_iris,random_state=1)

再之后按照书上正常敲代码即可 正常运行

#接下来用模型来预测标签
from sklearn.naive_bayes import GaussianNB  #1.选择模型类
model =GaussianNB()                          #2.初始化模型
model.fit(Xtrain,ytrain)                     #3.用模型拟合数据
y_model = model.predict(Xtest)               #4.对新数据进行预测
 
#最后验证模型预测结果的准确率
from sklearn.metrics import accuracy_score
accuracy_score(ytest,y_model)

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