Prior to consulting with your team, the analytics group at Greyson created a model to predict which customers are most likely to renew using linear regression with the LASSO shrinkage method.
This is incorrect. They should be using a classification model for this problem.
This is correct because LASSO can help prevent overfitting with large numbers of predictor variables.
This is in incorrect. With a large number of observations, they should use PCA for regression first and then fit the model to increase prediction accuracy.
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