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at the end of train-outerCV-1fold.sh, the selection of the "best" models currently uses a very unorthodox solution mixing median results with mean-sd results. This should be either simplified into a more standard solution (mean), or make sure that it's foolproof.
issue migrated from original private gitlab repo
See what is the best strategy to provide one or several model(s) as output
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