# No Split
# No Scale
# Fit
from sklearn.ensemble import RandomForestRegressor
# regr = RandomForestRegressor(max_depth=2, random_state=0)
regressor = RandomForestRegressor(n_estimators = 10, random_state = 0)
regressor.fit(X, y)
# No Split
# No Scale
# Fit
from sklearn.ensemble import RandomForestRegressor
# regr = RandomForestRegressor(max_depth=2, random_state=0)
regressor = RandomForestRegressor(n_estimators = 10, random_state = 0)
regressor.fit(X, y)