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ID3

Algorithms AIMech:ID3 DRAFT

Aliases: Iterative Dichotomiser 3

Decision-tree induction that selects categorical attributes by information gain.

Identity Notes & Concept Scope DecisionTree does not identify information-gain-based categorical tree induction.

Claims & Grounded Evidence

1 Claim

Mechanism #mechanism

At each node an information-gain criterion selects a categorical feature for partitioning the observations.

supports Source: scikit-learn User Guide: tree · Locator: User Guide, section #tree-algorithms-id3-c4-5-c5-0-and-cart

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:DecisionTree` Decision Tree	related_match	DecisionTree does not identify information-gain-based categorical tree induction. 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: tree scikit-learn developers	official documentation documentation	sha256:47f9ba403f4f…

Curator: Codex

Method: ai_assisted

Model: GPT-6

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

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

Source File: data/curated/ID3.yaml