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Regression Learner App

Interactively train, validate, and tune regression models

Choose among various algorithms to train and validate regression models. After training multiple models, compare their validation errors side-by-side, and then choose the best model. To help you decide which algorithm to use, see Train Regression Models in Regression Learner App.

This flow chart shows a common workflow for training regression models in the Regression Learner app.

Workflow in the Regression Learner app. Step 1: Select data and validation. Step 2: Choose regression model options. Step 3: Train a regression model. Step 4: Assess the regression model performance. Step 5: Export the regression model.

If you want to run experiments using one of the models you trained in Regression Learner, you can export the model to the Experiment Manager app. For more information, see Export Model from Regression Learner to Experiment Manager.


Regression LearnerTrain regression models to predict data using supervised machine learning
Experiment Manager Design and run experiments to train and compare machine learning models (Since R2023a)


Common Workflow

Customized Workflow

Experiment Manager Workflow

Related Information