Python Regression Tree interpretation

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This is my code:

regr = DecisionTreeRegressor(max_depth = 2)

regr.fit(X_train, y_train)

y_pred = regr.predict(X_test)

mse = mean_squared_error(y_test, y_pr


                      
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