Skip to main content


         This documentation site is for previous versions. Visit our new documentation site for current releases.      
 

Training and testing the topic model

Updated on May 17, 2024

Select the algorithms that Prediction Studio uses to build the model, and then start the building process.

  1. In the Model creation wizard step, select one or more algorithms to use for model creation:
    • Maximum Entropy
    • Naive Bayes
    • Support Vector Machine

    For more information about the available algorithms and their performance, see Training data size considerations for building text analytics models.

  2. Start the model creation process by clicking Next.
    The model creation process consists of the following stages:
    1. Initializing.
    2. Learning the taxonomy.
    3. Training the model based on the training sample.
    4. Testing the model against the testing sample.
What to do next: After the model creation process finishes, review the model accuracy. For more information, see Reviewing the topic model.

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us