Class imbalance is often unavoidable for radiomic data collected from clinical routine. It can create problems during classifier training since the majority class could dominate the minority class.
Class imbalance remains a critical challenge in machine learning, as it often leads to biased predictions where algorithms disproportionately favor the majority class, resulting in the ...
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