Difference between R^2 and .score

[donnertrud]

Hi guys,

As far as I know you can calculate the accuracy of a regression model with sklearn LinearRegression
The code would be something like this :

model = LinearRegression()
accuracy = model.score(X_test, y_test)

and print(accuracy) would give you a value for how good the model performs in predicting y.
Then there also exists r2_score from sklearn metrics.
Is there a difference between those two values ? If so, what is the difference ?
thanks in advance!