Databricks Certified Machine Learning Associate — Question 21

What is the name of the method that transforms categorical features into a series of binary indicator feature variables?

Answer options

• A. Leave-one-out encoding
• B. Target encoding
• C. One-hot encoding
• D. Categorical embeddings
• E. String indexing

Correct answer: C

Explanation

The correct answer is C, One-hot encoding, as it specifically refers to the process of creating binary columns for each category in a categorical variable. The other options represent different encoding or transformation methods that do not produce binary indicator variables in the same manner as one-hot encoding.