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.

EXPLANATION: The most famous strategy for dimensionality reduction in machine learning is Principal…

Answered: LASSO shrinkage method.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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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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