我正在使用决策树并引发了此错误。当我使用反向传播时，出现了同样的情况。我该如何解决？
import pandas as pd
import numpy as np
a = np.test()
f = open('E:/lgdata.csv')
data = pd.read_csv(f,index_col = 'id')
x = data.iloc[:,10:12].as_matrix().astype(int)
y = data.iloc[:,9].as_matrix().astype(int)
from sklearn.tree import DecisionTreeClassifier as DTC
dtc = DTC(criterion='entropy')
dtc.fit(x,y)
x=pd.DataFrame(x)
from sklearn.tree import export_graphviz
with open('tree.dot','w') as f1:
f1 = export_graphviz(dtc, feature_names = x.columns, out_file = f1)
回溯（最近一次调用）：
??File "<ipython-input-40-4359c06ae1f0>", line 1, in <module>
????runfile('C:/ProgramData/Anaconda3/lib/site-packages/ scipy/_lib/_numpy_compat.py', wdir='C:/ProgramData/Anaconda3/lib/site-packages/scipy/_lib')
??File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils \site\sitecustomize.py", line 710, in runfile
????execfile(filename, namespace)
??File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py" ，第 101 行，在 execfile
????exec(compile(f.read(), …