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

You might need to play with the dimensions a bit, e.g.

et_score = cross_val_score(et, features, labels, n_jobs=-1)[:,n]

or

 et_score = cross_val_score(et, features, labels, n_jobs=-1)[n,:]

n being the dimension.