add best data scientist practices to adaptive models
D.
add predictors to adaptive models
Answer:
C
Explanation:
Explanation:
The purpose of predictions is to build adaptive models.
Question 9
When compared to a Predictive Model, an Adaptive Model is different as it_____________
Options:
A.
can use strategy properties as predictors
B.
considers both symbolic and numeric predictors
C.
learns from both positive and negative outcomes
D.
uses predictor binning
Answer:
A
Explanation:
Explanation:
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. References: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-overview
Question 10
Results of two simulations can be compared using the___________.
Options:
Answer:
Answer:
Visual Business Director
Answer:
Interaction History report
Answer:
Proposition Distribution report
Answer:
Predictive Analytics Director
Answer:
C
Proposition Distribution report Reference:
The Proposition Distribution report is used to compare the results of two simulations.
Question 11
To build a predictive model, use____________.
Options:
A.
Pega Customer Service
B.
Pega Marketing
C.
Pega Decision Management
D.
Pega Platform
Answer:
C
Explanation:
Explanation:
Pega Decision Management Reference:
To build a predictive model, use Pega Decision Management. Pega Decision Management is a tool that enables businesses to make informed decisions based on data and analytics.