application_vnd.jupyter.stderr_output_1.png
from sklearn.cross_validation import train_test_split, cross_val_score

from sklearn.ensemble import RandomForestClassifier

X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, random_state=42)
clf = RandomForestClassifier(n_estimators=100)
clf.fit(X_train, y_train)

clf.score(X_test, y_test)