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Naive Bayes

Model Families AIMech:NaiveBayes DRAFT

Aliases: Naive Bayesian classifier

Probabilistic classification assuming feature independence conditional on the class.

Identity Notes & Concept Scope Classification does not specify conditional feature independence or a probabilistic generative classifier.

Claims & Grounded Evidence

1 Claim

Mechanism #mechanism

Class posterior comparisons use class priors and the product of class-conditional feature likelihoods.

supports Source: scikit-learn User Guide: naive bayes · Locator: User Guide, section #naive-bayes

This record supports method identity and the stated mechanism only; no universal performance or biological efficacy claim is curated.
Proposed placement is an inference from the existing AIO hierarchy; maintainers must resolve task, algorithm and model scope before acceptance.

Mapped AIO Classes

AIO Target Class	Mapping Relation	Mapping Rationale
`AIO:Classification` Classification	related_match	Classification does not specify conditional feature independence or a probabilistic generative classifier. Mapping is local curation, not an upstream subclass assertion.

1 Source

Source ID	Publication / Document	Type / Access	Reference & Checksum
`method-source`	scikit-learn User Guide: naive bayes scikit-learn developers	official documentation documentation	sha256:a69210ae6655…

Curator: Codex

Method: ai_assisted

Model: GPT-6

Created: 2026-10-11T03:01:34Z

Updated: 2026-10-11T03:01:34Z

Source File: data/curated/NaiveBayes.yaml