Module

Monitoring adaptive models

Archived

2 Topics

25 mins

Visible to: All users

Beginner

Pega Customer Decision Hub 8.5

English

The predictive performance and success rate of individual adaptive models provide information that can help business users and decisioning consultants to refine the Next-Best-Actions of the company. It is a regular data scientist task to inspect the health of the adaptive models and share the findings with the business.

After completing this module, you should be able to:

Name the key metrics of adaptive models visualized in the bubble chart

Customize the bubble chart by filtering

Inspect active and inactive predictors

Inspect individual predictors

Explain how predictors with similar predictive performance are grouped

Examine the propensity distribution for the whole model

Examine the trend for the whole model

Available in the following mission:

Data Scientist v2

Topics

Regular monitoring of adaptive models

10 mins

Inspecting adaptive models

10 mins

Module Quiz

5 mins

Get Started with Community

Monitoring adaptive models

After completing this module, you should be able to:

Available in the following mission:

Topics

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