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Your team is working on a machine learning project with highly imbalanced classes. Which Spark ML algorithm would you choose to tackle the class imbalance and enhance model performance?
A
Random Forest
B
Decision Trees
C
Synthetic Minority Over-sampling Technique (SMOTE)
D
Support Vector Machines
