image_output_1.png
"""import xgboost
xgBoost = xgboost.XGBRegressor(max_depth=3, learning_rate=0.1, n_estimators=100, booster='gbtree')
xgBoost.fit(X_train, Y_train)
print("train score", xgBoost.score(X_train, Y_train))
print("test score", xgBoost.score(X_test, Y_test))
#print("crossVal score", cross_val_score(xgBoost, X, Y, cv=3).mean())"""