We observe that across queries (∩Q), FTZ with entropy strategy has a balanced representation from all classes (high mean) with a high probability (low std) while Multinomial Naive Bayes (MNB) results in more biased queries (lower mean) with high probability (high std) as studied previously.
we did not find evidence of class bias in the resulting sample (∩S) in both models: Fast-Text and Naive Bayes (column 5 and 6 from Table  2).