A machine learning (ML) specialist is training a linear regression model. The specialist notices that the model is overfitting. The specialist applies an L1 regularization parameter and runs the model again. This change results in all features having zero weights.
What should the ML specialist do to improve the model results?

A. Increase the L1 regularization parameter. Do not change any other training parameters.

B. Decrease the L1 regularization parameter. Do not change any other training parameters.

C. Introduce a large L2 regularization parameter. Do not change the current L1 regularization value.

D. Introduce a small L2 regularization parameter. Do not change the current L1 regularization value.








 

Suggested Answer: B

Community Answer: B




This question is in MLS-C01 AWS Certified Machine Learning – Specialty Exam
For getting AWS Certified Machine Learning – Specialty Certificate


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