Description Usage Arguments Value Author(s)
Do n/t-fold cross-validation to estimate the error of global models with a small training set.
1 | unseen.profile.error(stats, prof.per.train)
|
stats |
list with arrays for errors, false.positive, and false.negative |
prof.per.train |
t = approximate number of annotated profiles per training set. |
matrix of estimated test errors, nfolds x 3
Toby Dylan Hocking
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