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Knowledge check

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Knowledge check

Evaluate your understanding of this unit by completing the knowledge check below.

Knowledge check illustration
Question 1 of 3
Which statement best describes feature engineering?
  • A. Choosing a model architecture without changing the data
  • B. Transforming raw data into features that better support learning
  • C. Removing all categorical variables from a dataset
  • D. Replacing training data with synthetic labels
Correct Answer: B

Feedback: Feature engineering improves how the data represents the underlying problem.

Which variable type has a meaningful order but not necessarily equal spacing between values?
  • A. Continuous
  • B. Categorical
  • C. Ordinal
  • D. Binary target
Correct Answer: C

Feedback: Ordinal variables preserve ranking information.

What is one common risk of keeping too many irrelevant or redundant features?
  • A. Overfitting and lower interpretability
  • B. Guaranteed fairness improvement
  • C. Automatic feature independence
  • D. Elimination of all noise in the dataset
Correct Answer: A

Feedback: Too many weak features can increase complexity and reduce model reliability.