The technique that splits data into training and testing sets while preserving class distribution is called ________ Sampling.
- Parquet
- Stratified
- OECD / UNESCO
- Principle, Privilege
Answer: Stratified
Stratified sampling maintains class proportions in train/test splits, critical for imbalanced classification tasks. Prevents evaluation bias from skewed splits.