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Creating an adaptive model

Updated on July 5, 2022

Create an adaptive model to predict business outcomes or customer behavior, for example, the probability of successful case completion or a customer's propensity to click a web banner.

Important: The following procedure provides the steps to manually create an adaptive model. The recommended way of creating adaptive models is by creating predictions. For more information, see Creating and managing predictions.
  1. In the navigation pane of Prediction Studio, click Models.
  2. In the header of the Models work area, click NewAdaptive model.
  3. In the Create adaptive model dialog box, enter the model Name and select the Business issue.
  4. In the Positive outcome section, enter the customer responses to the behavior you want to predict:
    • To select an available positive outcome for the model, place the cursor in the empty field and, press Down Arrow, and click the outcome you want to use.
    • To define a new positive outcome for the model, enter the outcome that you want to use.
    For example: Use Accept to indicate that a customer accepted an offer.
  5. In the Negative outcome section, enter which customer responses represent the alternative outcome you want to predict:
    • To select an available negative outcome for the model, place the cursor in the empty field, press the Down Arrow key, and click the outcome you want to use.
    • To define a new negative outcome for the model, enter the outcome you want to use.
    For example: Use Reject to indicate that a customer refused an offer.
  6. Choose the main priority of the model:
    • Transparency (Bayesian modeling), prioritizing transparency over accuracy.
    • Predictive power (Gradient boosting), prioritizing accuracy over transparency (available as a Preview Release).
    Note: A Bayesian model has a default transparency score of 3, while an adaptive boosting model has a default transparency score of 1. Transparency scores may be used to determine whether a model is compliant or non-compliant with your company policy. For more information about setting transparency thresholds and viewing the transparency scores of existing models, see Configuring model transparency policy.
  7. In the Context section, select the applicable class of the model by performing the following actions:
    1. In the Apply to field, press Down Arrow, and select application class of the model.
    2. In the new fields that appear, select a development branch and a ruleset.
  8. Confirm the new adaptive model settings by clicking Create.
What to do next:

Configure your adaptive model to meet your business objectives by adding a list of candidate predictors. See Adding adaptive model predictors.

Add your adaptive model to a prediction that you can then use in a case type or embed in a decision strategy. For more information, see Creating and managing predictions.

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