Scikit-learn cross val score: too many indices for array

Question

I have the following code

 from sklearn.ensemble import ExtraTreesClassifier
 from sklearn.cross_validation import cross_val_score
 #split the dataset for tr         


        

Answer 1

try target:

y=df['Survived'] 

instead , i used

y=df[['Survived']] 

which made the target y a dateframe, it seems series would be ok