Each class is properly represented in both the training and test set?

[izxi]

When selecting data, so as to assure that each class is properly represented in both the training and test set, which of the following is used?

Select one:

• [x] - A. Cross validation
• [ ] - B. Stratification
• [ ] - C. Verification
• [ ] - D. Bootstrapping

[izxi]

Cross-validation is a technique for evaluating ML models by training several ML models on subsets of the available input data and evaluating them on the complementary subset of the data. Use cross-validation to detect overfitting, ie, failing to generalize a pattern.

[johnnieng]

B. Stratification *

[iaminebriki]

Stratification