Exclude a class from prediction

  • 릴리스 버전: Australia
  • 업데이트 날짜 2026년 03월 12일
  • 소요 시간: 3분
  • Exclude a class from prediction if its precision or coverage aren't satisfactory. Excluding a class prevents the classification model from predicting a particular output field value.

    시작하기 전에

    • Train the solution definition whose output field values you want to exclude.
    • Role required: admin or ml_admin

    이 태스크 정보

    As part of the testing and refinement of your classification solution, you can try excluding an output class to check the effect on the model's results.

    Excluding a class from prediction is temporary. The class is restored the next time you train your solution, as long as the solution definition remains the same. If your precision or coverage targets are still not met, consider deactivating the solution or changing the solution definition.

    Typically, you exclude a class from prediction if you want a person to manually set the excluded class value. For example, exclude a particular incident category when the solution doesn't offer sufficient precision or coverage, or because the class triggers other business logic that requires review or approval.

    프로시저

    1. Navigate to All > Predictive Intelligence > Classification > Solutions.
    2. In the ML Solutions list, select the solution whose classes you want to exclude.
      This solution must have a State of Solution Complete.
    3. In the Class Confidence related list, select the class you want to exclude.
    4. In the Class Confidence record, review the precision and coverage combinations available from the Precision Coverage Lookups embedded list.
    5. Select the check box for the 100 precision and 0 coverage combination.

      You can select only one check box.

    6. From the Actions on selected rows control, select Apply Values.
      The system shows a Precision / Coverage Setting confirmation window.
    7. Click OK to confirm the change or Cancel to discard it.

    결과

    The solution excludes the class from all predictions until the next training cycle.

    다음에 수행할 작업

    If you conclude that this class does not contribute to meaningful predictions, consider deactivating the solution or changing the solution definition.