What is the key difference between a predictive model and a human expert?
What is the key difference between a predictive model and a human expert?A . Predictive models always outperform human experts. B. Humans are better at dealing with structured data and identifying patterns. C. Predictive models are more capable of detecting patterns in historical data. D. Humans make successful predictions on...
The purpose of predictions is to______________
The purpose of predictions is to______________A . build adaptive models B. monitor the success rate of individual actions C. add best data scientist practices to adaptive models D. add predictors to adaptive modelsView AnswerAnswer: C Explanation: The purpose of predictions is to build adaptive models.
In a strategy defined in the "Retension" issue and the "X-Sell" group, you can import________
In a strategy defined in the "Retension" issue and the "X-Sell" group, you can import________A . Actions from all groups under the "Retention" issue B. Actions from "X-Sell" group C. Actions from the "Sales" issue D. All active actionsView AnswerAnswer: A Explanation: According to the Pega Academy1, a strategy is...
What is the difference between predictive and adaptive analytics?
What is the difference between predictive and adaptive analytics?A . Predictive models can predict a continuous value. B. Predictive models predict customer behavior. C. Adaptive models use the customer data as predict* D. Predictive models have evidence.View AnswerAnswer: C Explanation: The difference between predictive and adaptive analytics is that adaptive...
As a highly experienced data scientist, which two advanced settings are available to you? (Choose Two)
As a highly experienced data scientist, which two advanced settings are available to you? (Choose Two)A . Outcomes B. Predictor types C. The parameters used to bin the responses D. Predictor selection E. The update frequency of the modelsView AnswerAnswer: D,E Explanation: Predictor selection and The update frequency of the...
Which value is output by an Adaptive Model?
Which value is output by an Adaptive Model?A . Score B. Performance C. Behavior D. LiftView AnswerAnswer: C Explanation: The value that is output by an adaptive model is behavior, which indicates the likelihood that the customer will accept or respond to an offer. Behavior is also known as propensity...
A Scoring Model allows you to differentiate between
A Scoring Model allows you to differentiate betweenA . Accept, Reject, Maybe Later B. Good, Bad C. Good, Better, Best D. Good, Bad, UnknownView AnswerAnswer: C Explanation: A scoring model allows you to differentiate between Good, Better, and Best outcomes for a given proposition or action. A scoring model assigns...
What do you need to analyze the incoming messages?
A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages. What do you need...
The outcome of a scoring model indicates the likely
The outcome of a scoring model indicates the likelyA . write-off value of an arrears case B. claim value of a health insurance C. period in which a spare part has to be replaced D. response to an offerView AnswerAnswer: D Explanation: The outcome of a scoring model indicates the...
To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________
To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________A . An entity extraction model B. a topic model C. a language model D. a sentiment modelView AnswerAnswer: A Explanation: To identify...