The sklearn.linear_model.RidgeCV.RidgeCV module in Python is an implementation of the Ridge regression model with built-in cross-validation (CV) functionality. Ridge regression is a linear regression model that incorporates regularization to handle multicollinearity (highly correlated predictor variables) and reduce the impact of noisy or irrelevant features. The RidgeCV module performs ridge regression with automatic selection of the regularization parameter (alpha) using cross-validation. Cross-validation helps in finding the best alpha by splitting the data into multiple parts and evaluating the model's performance on each part. This module is part of the scikit-learn library and is widely used for regression tasks in machine learning.
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