image_output_1.png
"""import sklearn
sklearn_boost = ensemble.GradientBoostingRegressor(loss='ls', learning_rate=0.1, n_estimators=100)
sklearn_boost.fit(X_train, Y_train)
print("train score", sklearn_boost.score(X_train, Y_train))
print("test score", sklearn_boost.score(X_test, Y_test))
#print("crossVal score", cross_val_score(sklearn_boost, X, Y, cv=3).mean())"""