The likelihood that a proposition will be accepted by the customer is stored in the strategy property called_______.
Answer(s): D
The likelihood that a proposition will be accepted by the customer is stored in the strategy property called pyBehavior. This property is calculated by an adaptive model or a predictive model and reflects the customer's propensity to respond to an offer.
https://academy.pega.com/module/creating-and-understanding-decision-strategies- archived/topic/using-predictions-decision
Two results of an adaptive model are
Answer(s): C
Two results of an adaptive model are propensity and performance. Propensity is the probability that the customer will accept or respond to an offer. Performance is a measure of how well the adaptive model predicts customer behavior over time.
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data- archived/topic/adaptive-models-overview
Predictive Analytics is a________________
Predictive analytics is a branch of data science that uses statistical techniques and machine learning algorithms to find repeatable patterns in data and make predictions about future outcomes or behaviors.
https://academy.pega.com/module/predictive-analytics/topic/predictive- analytics-overview
When compared to a Predictive Model, an Adaptive Model is different as it_____________
Answer(s): A
An adaptive model is different from a predictive model as it can use strategy properties as predictors. Strategy properties are dynamic values that are calculated or derived during the execution of a decision strategy. They can capture customer context, such as channel, location, time, etc.
What is the difference between predictive and adaptive analytics?
The difference between predictive and adaptive analytics is that adaptive models use the customer data as predictors, while predictive models use the customer data as outcomes. Adaptive models learn from real-time customer interactions and update their predictions accordingly. Predictive models use historical customer data to train and validate their predictions.
Post your Comments and Discuss Pegasystems PEGACPDS88V1 exam prep with other Community members:
Our website is free, but we have to fight against AI bots and content theft. We're sorry for the inconvenience caused by these security measures. You can access the rest of the PEGACPDS88V1 content, but please register or login to continue.