Free PEGACPDS88V1 Exam Braindumps (page: 4)

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Which two factors do you inspect to access the general health of the adaptive models in Prediction Studio? (Choose Two)

  1. Performance of the models
  2. Number of responses
  3. Number of decisions
  4. Model transparency

Answer(s): A,D

Explanation:

These factors indicate how accurate and explainable the models are, which are key measures of model health. The number of responses and decisions are related more to model usage rather than health.



Lift is key metric for the performance of the adaptive models.
To measure lift, you need a____________

  1. Standard model as a benchmark
  2. Control group with random actions
  3. Control group with a new action
  4. New adaptive model

Answer(s): B

Explanation:

Lift is a key metric for the performance of the adaptive models. To measure lift, you need a control group with random actions. Lift is the ratio of the performance of the adaptive model to the performance of the control group. A control group is a subset of customers who receive random actions instead of the ones suggested by the model.


Reference:

https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#data-/data-adm- /data-adm-model/main.htm



Adaptive model components can output__________

  1. An option___________
  2. An optimized strategy
  3. The number of customer's eligible for an action
  4. The customer's propensity to accept an action

Answer(s): D

Explanation:

Adaptive model components can output the customer's propensity to accept an action. Propensity is the likelihood of a positive response for a given action and predictor profile. It ranges from 0 to 100.


Reference:

https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule- /rule-decision-/rule-decision-adaptivemodel/main.htm



An adaptive model instance is created when you________

  1. Execute a strategy containing the adaptive model component
  2. Open the Adaptive model management landing page
  3. Restart the Adaptive Decision Manager Service
  4. Save the Adaptive model rule

Answer(s): A

Explanation:

An adaptive model instance is created when you execute a strategy containing the adaptive model component. The adaptive model component references an adaptive model rule that defines the predictors and the outcome of the model. The adaptive model instance stores the data and the statistics of the model for a specific context and action.


Reference:

https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule- decision-/rule-decision-adaptivemodel/main.htm






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