Hi, sorry about the delay. So, we did permutations just for the second subchallenge. In this, we were working with a random forest algorithm, so the estimate for the training error actually comes automatically from the way the random forest method works (leaving out a random set of individuals in each tree - which can be "tested" as if they are from the test set). LOOCV is not necessary here. As for the other question: the permutations were generated using the "sample" function in R. Cheers

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