Python机器学习警告

我正在使用下面的python程序来实现一个基本的决策树分类器

from sklearn import tree
from sklearn.tree import DecisionTreeClassifier
import numpy as np

features = [[140,1],[130,1],[150,0],[170,0]]
labels = [0,0,1,1]

clf = DecisionTreeClassifier()
model = clf.fit(features, labels)
a = model.predict ([160,0])
print (a)

它打印出预测值，但给出警告

DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and   
willraise ValueError in 0.19. Reshape your data either using X.reshape(-1,    
1) if   your data has a single feature or X.reshape(1, -1) if it contains a 
single sample.

我试着用这个来修复它

features = np.array(features).reshape(-1, 2)
labels = np.array(labels).reshape(-1, 1)

---

但这表明了同样的警告。有什么建议吗？

问题在于model.predict。这项工作：

a=模型预测（[[160,0]]

当您进行这些更改时，是否会收到相同的警告或不同的问题？