# Search for the best set of columns

Model / tune

A variant of [Tune a model](https://meridian.online/operations/tune-a-model).

Train and score a model over candidate column subsets, adding or dropping columns round by round, and keep the best set.

Page: <https://meridian.online/operations/tune-a-model/search-for-the-best-set-of-columns>

## Status

Not built yet.

arcform does not do this yet. [Its place on the roadmap](https://meridian.online/roadmap#tune-a-model)

## What other tools call it

Meridian's classification; an independent blind rating agreed on 95.7% of 324 rows (variant, version 3).

- Alteryx Designer: [`Stepwise`](https://help.alteryx.com/current/en/designer/tools/predictive/stepwise-tool.html) (read 2026-09-27)
- KNIME Analytics Platform: [`Feature Selection Filter`](https://api.hub.knime.com/nodes/*IfVMh6WXpGwR09zy?details=full) (read 2026-09-27)
- KNIME Analytics Platform: [`Feature Selection Loop End`](https://api.hub.knime.com/nodes/*JvdOTwMdJ-eih4bG?details=full) (read 2026-09-27)
- KNIME Analytics Platform: [`Feature Selection Loop Start (1:1)`](https://api.hub.knime.com/nodes/*77RdSA0wNLKxm5LU?details=full) (read 2026-09-27)
- KNIME Analytics Platform: [`Feature Selection Loop Start (2:2)`](https://api.hub.knime.com/nodes/*CWfQVO4NqhMqtpUJ?details=full) (read 2026-09-27)
- RapidMiner Studio: [`Automatic Feature Engineering`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/automatic_feature_engineering.html) (read 2026-09-27)
- RapidMiner Studio: [`Backward Elimination`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_selection/optimize_selection_backward.html) (read 2026-09-27)
- RapidMiner Studio: [`Forward Selection`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_selection/optimize_selection_forward.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize Selection`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_selection/optimize_selection.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize Selection (Brute Force)`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_selection/optimize_selection_brute_force.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize Selection (Evolutionary)`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_selection/optimize_selection_evolutionary.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize Selection (Weight-Guided)`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_selection/optimize_selection_weight_guided.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize by Generation (AGA)`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_generation/optimize_by_generation_aga.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize by Generation (Evolutionary Aggregation)`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_generation/optimize_by_generation_evolutionary_aggregation.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize by Generation (GGA)`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_generation/optimize_by_generation_gga.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize by Generation (YAGGA)`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_generation/optimize_by_generation_yagga.html) (read 2026-09-27)
- RapidMiner Studio: [`Optimize by Generation (YAGGA2)`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/feature_generation/optimize_by_generation_yagga2.html) (read 2026-09-27)
- RapidMiner Studio: [`Unsupervised Feature Selection`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/unsupervised_feature_selection.html) (read 2026-09-27)
- Yggdrasil Decision Forests: [`BackwardSelectionFeatureSelector`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/port/python/ydf/learner/feature_selector.py) (read 2026-09-27)
- Yggdrasil Decision Forests: [`FeatureSelectorLogs`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/port/python/ydf/model/feature_selector_logs.py) (read 2026-09-27)
- Yggdrasil Decision Forests: [`feature_selection_logs`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/port/python/ydf/model/generic_model.py) (read 2026-09-27)