Cancer datasets often suffer from small sample sizes due to the rarity of certain cancer types and the high cost of data collection. LOOCV is critical in such contexts because it ensures that every available data point is utilized in both training and testing phases. This enhances the reliability of the predictive models, which is essential for clinical decision-making.
