The `sklearn.linear_model.LassoCV` is a class in the Python library scikit-learn (sklearn) used for performing LASSO (Least Absolute Shrinkage and Selection Operator) regression with cross-validation. LASSO is a linear regression method that reduces the complexity of the model by enforcing the coefficients of less important features to become zero, effectively selecting only the most significant features for prediction. `LassoCV` combines LASSO with k-fold cross-validation, automatically determining the optimal regularization parameter (alpha) by minimizing the mean squared error. This class allows for efficient model training and parameter tuning for LASSO regression tasks.
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