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  1. Give the prediction a name, for example “No Show Prediction”

    Screenshot 2024-05-21 at 15.52.38.png

    Make sure to mark it a Yes/No prediction.

  2. Specify the Reservation object as the object you want to use to predict

    Screenshot 2024-05-21 at 15.53.05.png

  3. Determine which data points are yes or no. Then, predict past data that was not a “no-show” and data that is not a “no-show.” For instance, filter based on statusa Boolean field that determines the a no-show record.

    Screenshot 2024-05-21 at 15.53.58.pngScreenshot 2024-05-21 at 15.54.11.pngScreenshot 2024-05-21 at 15.54.35.png

  4. Ensure that the appropriate fields are included to effectively identify which reservations are likely to be no-shows.

    Screenshot 2024-05-21 at 15.54.55.png

  5. Specify a score field name:

    Screenshot 2024-05-21 at 15.55.25.png

  6. And Build the model based (top-right):

    Screenshot 2024-05-21 at 15.57.40.png

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