Adaptive model details
You can access details about each adaptive model in your application (such as the number of recorded responses, last update time, and so on) on the Adaptive Models Management landing page. The models are generated as a result of running a decisioning strategy that contains an Adaptive Model shape.
- Business issue
- The issue in the decision hierarchy, for example, Sales.
- Group
- The group in the decision hierarchy, for example, Phones.
- Proposition
- The name of the proposition that the adaptive model is modeling or the name of the additional model identifier and its value in the following format {"<model identifier>":"<value>"}. For example, if you have a model with an identifier of Cost with a value of 100, one of the rows displays {"Cost":"100"} after you refresh the screen. For more information about propositions, issues, and groups, see the Proposition Management landing page.
- Direction
- The direction that is defined in the decisioning strategy, for example, inbound or outbound.
- Channel
- The channel that is defined in the decisioning strategy, for example, Mobile, Web, and so on.
- Rule
- The name of the adaptive model rule used to configure the adaptive model, for example, MessagesModel.
- Applies to
- The Applies To class of the adaptive model rule, for example, DMOrg-DMSample-Data-Customer.
- Recorded responses
- The number of collected responses that apply to a model but that have not been used to update the model yet. For example, if the update frequency for a model is every 5000 responses, the model is not updated with recorded responses until the number of responses reaches 5000 or until the model is manually updated. When a model is updated with recorded responses, the recorded responses count is set to zero until new responses are collected. For more information about model update frequency, see Settings tab on the Adaptive Model form.
- Last updated
- Date and time of the most current model update.
- # Positives
- The number of customer responses that the model identified as positive.
- # Negatives
- The number of customer responses that the model identified as negative.
- # Processed responses
- The total number of recorded customer responses, excluding the recorded responses.