Bug in Data Scientist: Machine Learning ML2 Objective Exam 2

There seems to be a bug in the first question of the Machine Learning II objective exam 2 (Q1). They are asking to get the R^2 and MAE values of a random forest regressor, to which I put

# R_squared calculation
R_squared = rf.score(x_test, y_test)

y_pred = rf.predict(x_test)
# MAE calculation
MAE = mean_absolute_error(y_test, y_pred)

but I keep getting the message " Your R_squared value does not match what we expected. Make sure not to round after applying .score()".

Is there anything I’m not seeing??? This is exactly how they suggest to calculate the R^2 in all of the lessons, i also tried using r2_score from sklearn.metrics (using the y_pred), but I get the same error!

This is literally the last objective exam I have for the course, I’m going crazy over this. Is this a bug?

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