An online advertising company is developing a linear model to predict the bid price of advertisements in real time with low-latency predictions. A data scientist has trained the linear model by using many features, but the model is overfitting the training dataset. The data scientist needs to prevent overfitting and must reduce the number of features.
Which solution will meet these requirements?

A. Retrain the model with L1 regularization applied.

B. Retrain the model with L2 regularization applied.

C. Retrain the model with dropout regularization applied.

D. Retrain the model by using more data.








 

Suggested Answer: A

Community Answer: A




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


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