Kaggle Histopathological Cancer Detection

[Pomo (Malcolm McLean)]

This AUROC metric implementation is wrong. For the right way see…

Using AUC as metric in fastai

I faced this requirement a couple of weeks ago. Fastai computes metrics for each batch and then averaged across all batches, which makes sense for most metrics. However, AUROC can not be computed for individual batches, requiring to be computed on the entire dataset at once. So, I implemented a callback to compute the AUROC: from sklearn.metrics import roc_auc_score def auroc_score(input, target): input, target = input.cpu().numpy()[:,1], target.cpu().numpy() return roc_auc_score(tar…