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MLS-C01 · Question #142

MLS-C01 Question #142: Real Exam Question with Answer & Explanation

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Modeling

Question

A Machine Learning Specialist is developing a regression model to predict rental rates from rental listings. A variable named Wall_Color represents the most prominent exterior wall color of the property. The following is the sample data, excluding all other variables: Property_ID Wall_Color 1000 Red 1001 White 1002 Green The specialist chose a model that needs numerical input data. Which feature engineering approaches should the Specialist use to allow the regression model to learn from the Wall_Color data? (Select TWO)

Options

  • AApply integer transformation and set Red = 1, White = 5, and Green = 10.
  • BAdd new columns that store one-hot representation of colors.
  • CReplace the color name string by its length.
  • DCreate three columns to encode the color in RGB format.
  • EReplace each color name by its training set frequency.

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Topics

#Feature Engineering#Categorical Data Encoding#Regression Models#Data Preprocessing
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