How to resolve “IndexError: too many indices for array”

 My code below is giving me the following error "IndexError: too many indices for array". I am quite new to machine learning so I do not have any idea about how to solve this. Any kind of help would be appreciated.

train = pandas.read_csv("D:/...input/train.csv")
xTrain = train.iloc[:,0:54]
yTrain = train.iloc[:,54:]
from sklearn.cross_validation import cross_val_score
clf = LogisticRegression(multi_class='multinomial')
scores = cross_val_score(clf, xTrain, yTrain, cv=10, scoring='accuracy')
print('****Results****')
print(scores.mean())