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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