Creating an adaptive model
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.
- In the navigation pane of Prediction Studio, click Models.
- In the header of the Models work area, click .
- In the Create adaptive model dialog box, enter the model Name and select the Business issue.
- 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.
- 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.
- 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).
- In the Context section, select the applicable class of the model
by performing the following actions:
- In the Apply to field, press Down Arrow, and select application class of the model.
- In the new fields that appear, select a development branch and a ruleset.
- Confirm the new adaptive model settings by clicking Create.
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