In this document we show how to evaluate TriesWithFrequencies, [AA5, AAp7], based classifiers created over well known Machine Learning (ML) datasets. The computations are done with packages from Raku’s ecosystem.

The classifiers based on TriesWithFrequencies can be seen as some sort of Naive Bayesian Classifiers (NBCs).