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Bernoulli Naive Bayes Classifier

RK Ryszard Kubinski
JD Jean-Yves Djamen-Kepaou
TZ Timur Zhanabaev
AH Alex Hernandez-Garcia
SB Stefan Bauer
FH Falk Hildebrand
TK Tamas Korcsmaros
SK Sani Karam
PJ Prévost Jantchou
KK Kamran Kafi
RM Ryan D. Martin
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The Bernoulli Naive Bayes Classifier (BNB) model converts the feature space to binary values and then estimates parameters of a Bernoulli distribution for classification purposes. We implemented the BNB model using the default settings in SciKit-Learn.

Copyright and License information:  ©2022 Kubinski, Djamen-Kepaou, Zhanabaev, Hernandez-Garcia, Bauer, Hildebrand, Korcsmaros, Karam, Jantchou, Kafi and Martin.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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