IndexError：具有交叉验证预测的数组的索引太多

Question

尝试使用两个数组运行交叉验证预测时出现上述错误。我查看了此错误的先前帖子，但未能解决问题。非常感谢任何帮助。

#Did customer churn
Y_col =  ['recent_cus']

#train_cols = data.columns[1:]
# Index([gre, gpa, prestige_2, prestige_3, prestige_4], dtype=object)
Y = data[Y_col].as_matrix()
X =X_data
X = X.as_matrix()
display(X)
display(Y)

array([[ 9.,  2.,  0., ...,  2.,  2.,  0.],
   [ 7.,  0.,  0., ...,  0.,  4.,  0.],
   [ 9.,  0.,  0., ...,  0.,  2.,  0.],
   ..., 
   [ 9.,  2.,  0., ...,  2.,  2.,  0.],
   [ 4.,  0.,  0., ...,  0.,  8.,  0.],
   [ 7.,  0.,  0., ...,  2.,  4.,  0.]])
array([[0],
   [0],
   [0],
   ..., 
   [0],
   [0],
   [0]], dtype=int64)
clf = LogisticRegression(class_weight='auto')

predicted = cross_val_predict(clf, X, Y, cv=10)

fig, ax = plt.subplots()
ax.scatter(Y, predicted)
ax.plot([Y.min(), Y.max()], [Y.min(), Y.max()], 'k--', lw=4)
ax.set_xlabel('Measured')
ax.set_ylabel('Predicted')
plt.show()