Question

What are some ways to handle an imbalanced dataset?

Answer 1

An imbalanced dataset has skewed class proportions in a classification problem. Some of the ways to handle this include:

• Collecting more data
• Resampling data to correct oversampling or other imbalances
• Generating samples with the Synthetic Minority Oversampling Technique (or SMOTE)
• Testing various algorithms that include resampling in their design, like bagging or boosting