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Removing majority-class undersampling led to a distinct failure mode: the model became more conservative toward the minority class, reducing sensitivity even when overall ranking remained strong
Interpretability analysis SHAP values computed for the TabPFN model trained on the top-700 feature set were used to characterize which features drive the final predictions (Figure 6)

Aldred S, Moore KM, Fitzgerald M, Waring RH (2003) Plasma amino acid levels in children with autism and their families

Ragland, Alexa J