You are creating a new experiment in Azure Machine Learning Studio. The training set has a significant class imbalance, with one class having far fewer observations than the others.

You need to choose a suitable data sampling strategy to address this imbalance.

Proposed Solution: Use the Synthetic Minority Oversampling Technique (SMOTE) sampling mode.

Does the proposed solution meet the goal?