.Prediction Studio supports keyword-based topic detection, model-based topic detection, or a combination of both. When using a text prediction based on machine learning with keywords configured,_________________.
Predictive Analytics is a________________
When building a predictive model, the use of testing and validation samples_______________
The implementation of Next-Best-Action must involve
An adaptive model instance is created when you________
Which decision component allows you to monitor the real-time performance of a third- party Churn Model?
You are a company with a new and unique product, and you want to offer it to the right customer.
Give the scenario, which rule type should you use?
The mapping of the input fields of a third-party predictive model is done in the
U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400. Which strategy component should you use to meet the new requirement?
The filter component is used to filter_______
Which data is usually not appropriate to be used as a predictor?
The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a new one.
Which feature of MLOps lets you monitor the new model in the production environment without affecting the business outcomes?
Evidence an assessment of its viability, the Adaptive Model produces three outputs: Propensity, Performance and what is evidence in the context of an Adaptive Model? Performance and what is evidence in the context of an Adaptive Model?
As a data scientist, you want to use a predictive model to detect potential churn for a telecom company.
Which three options do you have? (Choose Three)
A very important aspect of each model is how good a model or a given predictor is in predicting the required behavior. When building a predictive model, the use of testing and validation samples___________________
U+ Bank promotes credit card offers on its website and uses Pega Customer Decision Hub to personalize the offer for every customer. Now, the bank wants to lower the number of customers that leave the bank by showing a proactive retention offer to high churn risk customers instead. As an NBA analyst, you are tasked with creating a new applicability setting to comply with the new business rule. Which business issue or issues do you modify?
In a predictive model rule, the predictors must be mapped to
U+ Telecom wants to engage in proactive retention to reduce churn. As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. What type of prediction do you create?
An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website. A customer's propensity to accept an offer increases when_________.
Which statement about Pega AI is correct?
When building a predictive model, the Data Analysis stage is where you