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

It seems to be fixable if you specify the target labels as a single data column from Pandas. If the target has multiple columns, I get a similar error. For example try:

labels = train['Y']