The `score` function in the `sklearn.linear_model.Ridge` module is used to calculate the coefficient of determination (R^2) of a fitted ridge regression model. This score represents the proportion of the variance in the target variable that can be explained by the input features. The higher the value of R^2, the better the model fits the data. This function takes the input data and target variable as parameters and returns the R^2 score as a floating-point number between 0 and 1, with 1 indicating a perfect fit.
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