MLS-C01 · Question #261
MLS-C01 Question #261: Real Exam Question with Answer & Explanation
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Question
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?
Options
- ARetrain the model with L1 regularization applied.
- BRetrain the model with L2 regularization applied.
- CRetrain the model with dropout regularization applied.
- DRetrain the model by using more data.
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