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Training and testing the topic detection model

Updated on March 11, 2021

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 detection model.
  • Previous topic Defining the training and testing samples for topic detection
  • Next topic Reviewing the topic detection model

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