Designing and Implementing a Data Science Solution on Azure — Question 12

You are solving a classification task.
The dataset is imbalanced.
You need to select an Azure Machine Learning Studio module to improve the classification accuracy.
Which module should you use?

Answer options

• A. Permutation Feature Importance
• B. Filter Based Feature Selection
• C. Fisher Linear Discriminant Analysis
• D. Synthetic Minority Oversampling Technique (SMOTE)

Correct answer: D

Explanation

The correct choice is D, as the Synthetic Minority Oversampling Technique (SMOTE) addresses the issue of class imbalance by generating synthetic samples for the minority class, thus improving model performance. Options A, B, and C do not directly tackle class imbalance and instead focus on feature importance, selection, and dimensionality reduction, which may not improve classification accuracy in this context.