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Table 3 Naive Bayes broad grid search parameters

From: Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

Step Parameter Values
sklearn.feature_extraction.text.HashingVectorizer n_features 1024, 8192, 65,536
  ngram_range [4,4], [8, 8], [16, 16], [4,16]
sklearn.feature_extraction.text.TfidfTransformer norm l1, l2, None
  usd_idf True, False
sklearn.naive_bayes.MultinomialNB alpha 0.001, 0.01, 0.1
  class_prior None, array of class weights
post processing confidence 0, 0.2, 0.4, 0.6, 0.8