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MLS-C01 · Question #251

A retail company wants to create a system that can predict sales based on the price of an item. A machine learning (ML) engineer built an initial linear model that resulted in the following residual p

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Modeling

Question

A retail company wants to create a system that can predict sales based on the price of an item. A machine learning (ML) engineer built an initial linear model that resulted in the following residual plot:

Which actions should the ML engineer take to improve the accuracy of the predictions in the next phase of model building? (Choose three.)

Exhibit

MLS-C01 question #251 exhibit

Options

  • ADownsample the data uniformly to reduce the amount of data.
  • BCreate two different models for different sections of the data.
  • CDownsample the data in sections where Price < 50.
  • DOffset the input data by a constant value where Price > 50.
  • EExamine the input data, and apply non-linear data transformations where appropriate.
  • FUse a non-linear model instead of a linear model.

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Topics

#Residual Analysis#Model Diagnostics#Non-linear Modeling#Feature Transformation
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