# Train gradient boosted trees Model / supervised A variant of [Train a tree model](https://meridian.online/operations/train-a-tree-model). Train trees in sequence, each fitted to the errors of those before it. Page: ## Status Not built yet. arcform does not do this yet. [Its place on the roadmap](https://meridian.online/roadmap#train-a-tree-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: [`Boosted Model`](https://help.alteryx.com/current/en/designer/tools/predictive/boosted-model-tool.html) (read 2026-09-27) - KNIME Analytics Platform: [`Gradient Boosted Trees Learner`](https://api.hub.knime.com/nodes/*F6gmERFlrdnszMHb?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Gradient Boosted Trees Learner (Regression)`](https://api.hub.knime.com/nodes/*BNrzDE3e_vcgDY8V?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`KNIME XGBoost Integration (extension)`](https://api.hub.knime.com/extensions/org.knime.features.xgboost) (read 2026-09-27) - RapidMiner Studio: [`Gradient Boosted Trees`](https://docs.rapidminer.com/latest/studio/operators/modeling/predictive/trees/gradient_boosted_trees.html) (read 2026-09-27) - Talend: [`tGradientBoostedTreeModel`](https://help.qlik.com/talend/en-US/components/8.0/machine-learning/machine-learning-component) (read 2026-09-27) - Yggdrasil Decision Forests: [`DISTRIBUTED_GRADIENT_BOOSTED_TREES`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/learner/distributed_gradient_boosted_trees/distributed_gradient_boosted_trees.h) (read 2026-09-27) - Yggdrasil Decision Forests: [`GRADIENT_BOOSTED_TREES`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/learner/gradient_boosted_trees/gradient_boosted_trees.h) (read 2026-09-27)