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Machine Learning Assessment

Question 12 of 30 · Adaptive Difficulty: Expert

42:18 remaining

Given a dataset with high class imbalance (1:100 ratio), which combination of techniques would most effectively improve model performance?

SMOTE + Focal Loss + Stratified K-Fold
Random Oversampling + Cross-Entropy
Undersampling + Standard Accuracy
Data Augmentation Only
40% complete
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