
Ultimate access to all questions.
When working on a machine learning project with imbalanced classes, which Spark ML supported technique can be employed to ensure accurate model training?
A
Synthetic Minority Over-sampling Technique (SMOTE)
B
Under-sampling
C
Class Weighting
D
Over-sampling