I’ve trained a taxonomic classifier in QIIME2 that has been trained on MT-COI sequences extracted from the Barcode of Life Database. Unfortunately, I have not found a way to evaluate my classifier to ensure that my results are accurate. My concern is that reviewers will be skeptical of this approach (as they should be). I’ve seen there is a program, TAX CREdiT, that can be used to evaluate classifier accuracy with mock communities, but there doesn’t seem to be a mock community available for COI sequences. Do you have any suggestions for assessing the accuracy of my classifier to ensure that my results are accurate?
Also, because no one in my field (to my knowledge) has used a QIIME2 classifier for assigning taxonomy, how would I best defend the classifier as an equal (if not, better) option for taxonomic classification, other than it is less time consuming and removes the possibility for human error?