The sklearn.linear_model.RidgeCV.score is a function in Python's sklearn library, specifically in the linear_model module. This function is used to evaluate the performance of a Ridge regression model by calculating the R-squared score or coefficient of determination. The R-squared score measures the proportion of the variance in the target variable that is predictable from the input features. A higher R-squared score indicates a better fit of the model to the data. It takes the predicted target values and the true target values as input and returns the R-squared score.
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