# Learn rules from data

Model / supervised

rule induction, subgroup discovery

Page: <https://meridian.online/operations/learn-rules-from-data>

## Status

Not built yet.

arcform does not do this yet. [Its place on the roadmap](https://meridian.online/roadmap#learn-rules-from-data)

## Variants

- Learn if-then rules: Learn a set of if-then rules that predict a label, directly or from a trained tree.
- Discover unusual subgroups: Search for rules that describe large subgroups whose label distribution is statistically unusual.

## What other tools call it

Meridian's classification; an independent blind rating agreed on 86.2% of 312 rows (exact class, version 2).

- KNIME Analytics Platform: [`Fuzzy Rule Learner`](https://api.hub.knime.com/nodes/*dQPhMVOWAavGuXWj?details=full) (read 2026-09-27)
- RapidMiner Studio: [`Rule Induction`](https://docs.rapidminer.com/latest/studio/operators/modeling/predictive/rules/rule_induction.html) (read 2026-09-27)
- RapidMiner Studio: [`Single Rule Induction`](https://docs.rapidminer.com/latest/studio/operators/modeling/predictive/rules/single_rule_induction.html) (read 2026-09-27)
- RapidMiner Studio: [`Single Rule Induction (Single Attribute)`](https://docs.rapidminer.com/latest/studio/operators/modeling/predictive/rules/single_rule_induction_single_attribute.html) (read 2026-09-27)
- RapidMiner Studio: [`Subgroup Discovery`](https://docs.rapidminer.com/latest/studio/operators/modeling/predictive/rules/subgroup_discovery.html) (read 2026-09-27)
- RapidMiner Studio: [`Subgroup Discovery (Meta)`](https://docs.rapidminer.com/latest/studio/operators/modeling/predictive/ensembles/subgroup_discovery_meta.html) (read 2026-09-27)
- RapidMiner Studio: [`Tree to Rules`](https://docs.rapidminer.com/latest/studio/operators/modeling/predictive/rules/tree_to_rules.html) (read 2026-09-27)