Random Forest
MachineLearningTask AIO:RandomForest NOT_REVIEWED
An ensemble learning method for classification regression and other tasks that constructs a multitude of decision trees during training.
Ontology IRI:
https://w3id.org/aio/RandomForest
Ontology Structure & Relationships
Parent Classes
Branches
Annotations & Sources
Definition Sources:
Subsets:
https://w3id.org/aio/MachineLearningSubset
Curated AIMech Concepts Grounded to this Class
1 Concept| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Sequential Model-based Algorithm Configuration
AIMech:SequentialModelBasedAlgorithmConfiguration |
Algorithms | related_match | The original SMAC algorithm uses a random-forest regression surrogate as a component. The full proposal-and-comparison procedure is neither identical to that ensemble model nor a subclass of it; this is a component-based conceptual relation. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…
Source File:
data/aio/RandomForest.yaml