# Score with a model Model / apply score or predict with a trained model Page: ## Status Not built yet. arcform does not do this yet. [Its place on the roadmap](https://meridian.online/roadmap#score-with-a-model) ## Variants - Apply a saved preprocessing step: Apply a stored transformation or feature set to new data so it matches the training data. - [Assign rows to clusters](https://meridian.online/operations/score-with-a-model/assign-rows-to-clusters): Assign each row to a cluster of a trained clustering model. - Predict a value or class for each row: Run a trained model over rows and append its prediction, class probabilities or score. - Turn confidences into predictions: Derive or adjust crisp predictions from confidence columns, such as by a threshold. ## What other tools call it Meridian's classification; an independent blind rating agreed on 86.2% of 312 rows (exact class, version 2). - Azure Data Factory: [`ML Studio (classic) Batch Execution activity`](https://learn.microsoft.com/en-us/azure/data-factory/transform-data-using-machine-learning) (read 2026-09-27) - Alteryx Designer: [`Append Cluster`](https://help.alteryx.com/current/en/designer/tools/predictive-grouping/append-cluster-tool.html) (read 2026-09-27) - Alteryx Designer: [`DataRobot Predict`](https://help.alteryx.com/current/en/designer/tools/predictive/datarobot-predict-tool.html) (read 2026-09-27) - Alteryx Designer: [`Machine Learning Predict`](https://help.alteryx.com/current/en/designer/tools/alteryx-intelligence-suite/machine-learning/machine-learning-predict.html) (read 2026-09-27) - Alteryx Designer: [`Predict`](https://help.alteryx.com/current/en/designer/tools/alteryx-intelligence-suite/machine-learning/predict-tool.html) (read 2026-09-27) - Alteryx Designer: [`Score`](https://help.alteryx.com/current/en/designer/tools/predictive/score-tool.html) (read 2026-09-27) - Alteryx Designer: [`Survival Score`](https://help.alteryx.com/current/en/designer/tools/predictive/survival-score-tool.html) (read 2026-09-27) - KNIME Analytics Platform: [`Boosting Predictor Loop End`](https://api.hub.knime.com/nodes/*SJGWHr1skh5dpEvM?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Boosting Predictor Loop Start`](https://api.hub.knime.com/nodes/*Mqb5R0RaarNo4UV1?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Cluster Assigner`](https://api.hub.knime.com/nodes/*9kg2rX7d5j2FrgtM?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Decision Tree Predictor`](https://api.hub.knime.com/nodes/*mTvdLptC3aqDqGrI?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Fuzzy Rule Predictor`](https://api.hub.knime.com/nodes/*lTnqesML5yHhWk_g?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Gradient Boosted Trees Predictor`](https://api.hub.knime.com/nodes/*uXh2nfrByJFMfg_G?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Gradient Boosted Trees Predictor (Regression)`](https://api.hub.knime.com/nodes/*yk70tW6wdbcteDMO?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`KNIME Amazon Machine Learning Integration (extension)`](https://api.hub.knime.com/extensions/org.knime.features.cloud.aws.mlservices) (read 2026-09-27) - KNIME Analytics Platform: [`KNIME Extension for MOJO nodes on Spark (Legacy) (extension)`](https://api.hub.knime.com/extensions/org.knime.features.ext.h2o.mojo.spark) (read 2026-09-27) - KNIME Analytics Platform: [`KNIME H2O Machine Learning Integration - MOJO Extension (extension)`](https://api.hub.knime.com/extensions/org.knime.features.ext.h2o.mojo) (read 2026-09-27) - KNIME Analytics Platform: [`KNIME H2O Snowflake Integration (extension)`](https://api.hub.knime.com/extensions/org.knime.features.ext.h2o.database) (read 2026-09-27) - KNIME Analytics Platform: [`KNIME JPMML Integration (legacy) (extension)`](https://api.hub.knime.com/extensions/org.knime.features.jpmml) (read 2026-09-27) - KNIME Analytics Platform: [`KNIME PMML Preprocessing Applier Nodes (extension)`](https://api.hub.knime.com/extensions/org.knime.features.base.pmml2) (read 2026-09-27) - KNIME Analytics Platform: [`Logistic Regression Predictor`](https://api.hub.knime.com/nodes/*30SAAtdD-kG2KhAI?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`MultiLayerPerceptron Predictor`](https://api.hub.knime.com/nodes/*aoLtzFmsAKOw1SBL?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Naive Bayes Predictor`](https://api.hub.knime.com/nodes/*89QZimuvm6HIECjE?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`PMML Ensemble Predictor`](https://api.hub.knime.com/nodes/*0Whr12jfXPRzjLbc?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`PMML Gradient Boosted Trees Predictor`](https://api.hub.knime.com/nodes/*o2c3tl_IHpQXXz8_?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`PMML Gradient Boosted Trees Predictor (Regression)`](https://api.hub.knime.com/nodes/*XU1htNBya3JiCqXr?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`PMML Predictor`](https://api.hub.knime.com/nodes/*jya1a6bRZlBmer8S?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`PMML Simple Regression Tree Predictor`](https://api.hub.knime.com/nodes/*bVOcLs-27Zmf_e46?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`PNN Predictor`](https://api.hub.knime.com/nodes/*ibjHOetqbiCv4KUc?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Random Forest Predictor`](https://api.hub.knime.com/nodes/*izly7J6Cf2Jpbfso?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Random Forest Predictor (Regression)`](https://api.hub.knime.com/nodes/*O2zLr_A7SZa2X6KV?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Regression Predictor`](https://api.hub.knime.com/nodes/*LyRcLydCVnHBRIb0?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Ruleset Predictor`](https://api.hub.knime.com/nodes/*OF3oP5KCNWP8Fkn2?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`SOTA Predictor`](https://api.hub.knime.com/nodes/*ZvfPH3f-zdiY9mJQ?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`SVM Predictor`](https://api.hub.knime.com/nodes/*z4QawMJlTQW3cArl?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Simple Regression Tree Predictor`](https://api.hub.knime.com/nodes/*uQYuAe-3kjr5heD6?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Tree Ensemble Predictor`](https://api.hub.knime.com/nodes/*Xksc3v5AFhjzsnRX?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Tree Ensemble Predictor (Regression)`](https://api.hub.knime.com/nodes/*jnHWO6xs9VHHdauz?details=full) (read 2026-09-27) - mlpack: [`mlpack_adaboost_pred`](https://duckdb.org/community_extensions/extensions/mlpack) (read 2026-09-27) - mlpack: [`mlpack_gmm_probability`](https://www.mlpack.org/doc/user/bindings/cli.html) (read 2026-09-27) - mlpack: [`mlpack_hmm_loglik`](https://www.mlpack.org/doc/user/bindings/cli.html) (read 2026-09-27) - mlpack: [`mlpack_hmm_viterbi`](https://www.mlpack.org/doc/user/bindings/cli.html) (read 2026-09-27) - mlpack: [`mlpack_linear_regression_pred`](https://duckdb.org/community_extensions/extensions/mlpack) (read 2026-09-27) - mlpack: [`mlpack_logistic_regression_pred`](https://duckdb.org/community_extensions/extensions/mlpack) (read 2026-09-27) - mlpack: [`mlpack_random_forest_pred`](https://duckdb.org/community_extensions/extensions/mlpack) (read 2026-09-27) - RapidMiner Studio: [`Apply Association Rules`](https://docs.rapidminer.com/latest/studio/operators/modeling/associations/apply_association_rules.html) (read 2026-09-27) - RapidMiner Studio: [`Apply Association Rules (Detailed)`](https://docs.rapidminer.com/latest/studio/operators/extensions/Operator%20Toolbox/models/detailed_association_rule_applier.html) (read 2026-09-27) - RapidMiner Studio: [`Apply Feature Set`](https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/apply_feature_set.html) (read 2026-09-27) - RapidMiner Studio: [`Apply Model`](https://docs.rapidminer.com/latest/studio/operators/scoring/apply_model.html) (read 2026-09-27) - RapidMiner Studio: [`Apply Model (Documents)`](https://docs.rapidminer.com/latest/studio/operators/extensions/Operator%20Toolbox/text_processing/apply_model_documents.html) (read 2026-09-27) - RapidMiner Studio: [`Apply Threshold`](https://docs.rapidminer.com/latest/studio/operators/scoring/confidences/apply_threshold.html) (read 2026-09-27) - RapidMiner Studio: [`Cost-Sensitive Scoring`](https://docs.rapidminer.com/latest/studio/operators/scoring/cost_sensitive_scoring.html) (read 2026-09-27) - RapidMiner Studio: [`Create Threshold`](https://docs.rapidminer.com/latest/studio/operators/scoring/confidences/create_threshold.html) (read 2026-09-27) - RapidMiner Studio: [`Drop Uncertain Predictions`](https://docs.rapidminer.com/latest/studio/operators/scoring/confidences/drop_uncertain_predictions.html) (read 2026-09-27) - RapidMiner Studio: [`Generate Prediction`](https://docs.rapidminer.com/latest/studio/operators/scoring/confidences/generate_prediction.html) (read 2026-09-27) - RapidMiner Studio: [`Generate Prediction Ranking`](https://docs.rapidminer.com/latest/studio/operators/scoring/confidences/generate_prediction_ranking.html) (read 2026-09-27) - RapidMiner Studio: [`Random Forest Encoder`](https://docs.rapidminer.com/latest/studio/operators/extensions/Operator%20Toolbox/models/rf_encoder.html) (read 2026-09-27) - Tableau Prep: [`Prediction`](https://help.tableau.com/current/prep/en-us/prep_predictions.htm) (read 2026-09-27) - Talend: [`tClassify`](https://help.qlik.com/talend/en-US/components/8.0/machine-learning/machine-learning-component) (read 2026-09-27) - Talend: [`tClassifySVM`](https://help.qlik.com/talend/en-US/components/8.0/machine-learning/machine-learning-component) (read 2026-09-27) - Talend: [`tPredict`](https://help.qlik.com/talend/en-US/components/8.0/machine-learning/machine-learning-component) (read 2026-09-27) - Talend: [`tPredictCluster`](https://help.qlik.com/talend/en-US/components/8.0/machine-learning/machine-learning-component) (read 2026-09-27) - Talend: [`tRecommend`](https://help.qlik.com/talend/en-US/components/8.0/machine-learning/machine-learning-component) (read 2026-09-27) - Yggdrasil Decision Forests: [`C++ API: serving.h`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/api/serving.h) (read 2026-09-27) - Yggdrasil Decision Forests: [`Go port`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/port/go/README.md) (read 2026-09-27) - Yggdrasil Decision Forests: [`YDF-TF`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/port/tensorflow/README.md) (read 2026-09-27) - Yggdrasil Decision Forests: [`predict`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/cli/predict.cc) (read 2026-09-27) - Yggdrasil Decision Forests: [`predict`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/port/python/ydf/model/generic_model.py) (read 2026-09-27) - Yggdrasil Decision Forests: [`predict_class`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/port/python/ydf/model/generic_model.py) (read 2026-09-27) - Yggdrasil Decision Forests: [`predict_leaves`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/yggdrasil_decision_forests/port/python/ydf/model/decision_forest_model/decision_forest_model.py) (read 2026-09-27) - Yggdrasil Decision Forests: [`ydf-inference (npm)`](https://github.com/google/yggdrasil-decision-forests/blob/0a54b57c95ff0cf42ecf0310ace0513a4f32cb65/documentation/public/docs/javascript.md) (read 2026-09-27)