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Idiot's Bayes—Not So Stupid After All?
Author(s) -
Hand David J.,
Yu Keming
Publication year - 2001
Publication title -
international statistical review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.051
H-Index - 54
eISSN - 1751-5823
pISSN - 0306-7734
DOI - 10.1111/j.1751-5823.2001.tb00465.x
Subject(s) - idiot , simple (philosophy) , bayes' theorem , computer science , artificial intelligence , folklore , machine learning , bayesian probability , econometrics , mathematics , psychology , epistemology , philosophy , geography , archaeology , psychiatry
Summary Folklore has it that a very simple supervised classification rule, based on the typically false assumption that the predictor variables are independent, can be highly effective, and often more effective than sophisticated rules. We examine the evidence for this, both empirical, as observed in real data applications, and theoretical, summarising explanations for why this simple rule might be effective.