This article describes target, output, and excluded attributes in Tealium Predict ML and how to select the right target attribute to use in your models. In this article: When defining a model...

This article describes the Tealium Predict ML product and how it is used to create, train, and deploy machine learning models to make predictions about visitor behavior. In this article: Tealium Pre...

This article describes data compliance as it pertains to General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) and how data is used, shared, and stored when using Te...

This article describes different ways to monitor the health of your deployed model. In this article: The following sections provide explanations of the metrics and ratings available when using Tealiu...

This article provides best practices and recommendations for retraining a model. In this article: Table of Contents Placeholder Although machine learning and statistics tools are not designed to guar...

This article describes optional review steps and how to initiate the first training for your model. In this article: Use the following sections as a guide to review your model and start training. Re...

This article describes how to add a model, select a target attribute, an output attribute, and then name your model and output attribute for future use. To learn more about the differences between tar...

This article describes how to delete a model. You cannot delete a version of a model, only an entire model. Use the following steps to delete a model: From the Model Dashboard, click View Model ...

This article describes how to deploy or undeploy one or more versions of a trained model. In this article: There are three ways to deploy your model: From the Model Dashboard, click Deploy Tra...

This article describes how to retrain a model after evaluating the model and determining changes that are required to improve predictions. In this article: Use the following sections as a guide to p...

Visitor stitching does not impact modeling results in Tealium Predict. Models are trained on visitor profiles, not visits. The actual and predicted values that display in the Confusion Matrix re...

This article describes Machine Learning technology concepts, goals, audiences, and technological advances. In this article: Table of Contents Placeholder Machine learning is a subfield of artificial ...

This article provides a generic overview of the differences between machine learning and artificial intelligence. In this article: Table of Contents Placeholder Artificial intelligence and machine le...

This article provides detailed information about model scoring techniques and formulas used to assign scores and rating to trained and deployed models in the Tealium Predict ML product. In this a...

This article serves as a guideline of items to consider when creating audiences using results from Tealium Predict. In this article: After a model is deployed and making predictions, a common next s...

This article provides an overview of how to evaluate your trained version before deploying your model. Use the following sections as a guide to view model status and the potential strength of predicti...

This article describes data wellness concepts and actionable steps you can take to examine and optimize the readiness of your data layer before starting with Tealium Predict ML. In this article: Thi...

This article provides an overview of the Tealium Predict ML workflow, basic Predict implementation, and best practices for readying your data and creating models. In this article: If you have t...

This article describes what is required to use the Tealium Predict ML product, suggested steps to take before you begin to ensure ideal results, and available services. In this article: The followin...

This article describes the Tealium Predict ML product tiers and feature availability based on the number of models deployed and trained. In this article: The trial tier of Tealium Predict is availab...

This article defines general statistical modeling terminology, terms specific to Tealium products, and terms used in the Tealium Predict ML interface. In this article: An audience is defined as a gr...