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Classification Learner App

Interactively train, validate, and tune classification models

Choose among various algorithms to train and validate classification models for binary or multiclass problems. 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 Classification Models in Classification Learner App.

This flow chart shows a common workflow for training classification models, or classifiers, in the Classification Learner app.

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

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


Classification LearnerTrain models to classify 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