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

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.