Inconsistent results on Baseline model about kits21 HOT 4 CLOSED

The baseline is trained as a 5-fold cross-validation. So when reproducing the results you need to respect the splits: you need to identify which cases where in the validation set of fold 0 and run prediction on those with fold0 only, then move on to fold1 etc.
You cannot just run nnUNet_predict beause then you are essentially predicting training data
Best,
Fabian

from kits21.

yes, exactly

from kits21.

@FabianIsensee would be the expert on this. Any ideas?

from kits21.

Got it, and after the merge of predictions of all 5 folds, run evaluate_predictions

from kits21.