import pandas as pd
data = pd.read_csv("train.csv")
Y = data["label"]
data.drop("label", 1)

from sklearn import tree, cross_validation
clf = tree.DecisionTreeClassifier()
cross_validation.cross_val_score(clf, data, Y)