PEGACPDS88V1 Exam Dumps : Certified Pega Data Scientist 8.8

Adaptive models perform a binary model calculation. This means that adaptive models predict the likelihood of a positive or negative response for each action and customer profile. Adaptive models do not require underlying predictive models or historical data sets to start learning. They learn from customer responses in real time and continuously update their predictions. References:

The filter component is used to filter actions based on various criteria, such as eligibility, suitability, priority, or custom conditions. References:

When selecting the list of predictors for an adaptive model you should consider properties from a wide range of sources. Predictors are properties that influence the customer behavior and can be derived from various sources such as customer profile, interaction history, proposition details, etc. References: