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Learn more about Teams from sklearn.preprocessing import LabelEncoder from sklearn.cross_validation import StratifiedShuffleSplit train = pd.read_csv('..\input\train.csv') test = pd.read_csv('..\input\test.csv') def encode(train, test): le = LabelEncoder().fit(train.species) labels = le.transform(train.species) classes = list(le.classes_) test_ids = test.id train = train.drop(['species', 'id'], axis=1) test = test.drop(['id'], axis=1) return train, labels, test, test_ids, classes train, labels, test, test_ids, classes = encode(train, test) train.head(5)

NameError                                 
Traceback (most recent call last) <ipython-input-10-08166fb1df95> in <module>()
     10     return train, labels, test, test_ids, classes
---> 12 train, labels, test, test_ids, classes = encode(train, test)
     13 train.head(5)
NameError: name 'train' is not defined
                can you post the full stacktrace? and this won't work as you want: pd.read_csv('..\input\train.csv') actually reads '..\input<tabulation char>rain.csv'
– Jean-François Fabre
                Sep 15, 2016 at 19:22
                Okay.train = pd.read_csv(r'C:\Users*****\PycharmProjects\kaggle\leaf\input\train.csv') test=pd.read_csv(r'C:\Users*****\PycharmProjects\kaggle\leaf\input\test.csv')
– tony2046
                Sep 15, 2016 at 19:27
        
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