A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems
Yuxuan Yang,
Hadi Akbarzadeh Khorshidi,
Uwe Aickelin
Abstract:There has been growing attention to multi-class classification problems, particularly those challenges of imbalanced class distributions. To address these challenges, various strategies, including data-level re-sampling treatment and ensemble methods, have been introduced to bolster the performance of predictive models and Artificial Intelligence (AI) algorithms in scenarios where excessive level of imbalance is present. While most research and algorithm development have been focused on binary classification p… Show more
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