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MLS-C01 · Question #282

MLS-C01 Question #282: Real Exam Question with Answer & Explanation

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Modeling

Question

A data scientist wants to improve the fit of a machine learning (ML) model that predicts house prices. The data scientist makes a first attempt to fit the model, but the fitted model has poor accuracy on both the training dataset and the test dataset. Which steps must the data scientist take to improve model accuracy? (Choose three.)

Options

  • AIncrease the amount of regularization that the model uses.
  • BDecrease the amount of regularization that the model uses.
  • CIncrease the number of training examples that that model uses.
  • DIncrease the number of test examples that the model uses.
  • EIncrease the number of model features that the model uses.
  • FDecrease the number of model features that the model uses.

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Topics

#Model Underfitting#Regularization#Feature Engineering#Model Tuning
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