To investigate the dependence of XAI on models, we investigate the difference of both our test-time augmentation robustness score and the overall entropy of the XAI methods between different models. Firstly, differences between the pre-trained model with AUROC of 0.798, native model with AUROC of 0.763 and untrained model with AUROC of 0.474 in both entropy and in-between sample variation are minimal (Figure ). This indicates that the in-between model analysis of these models is dependent on something other than learned parameters.