Skip to main content

Module

Monitoring adaptive models

Archived

2 Rubriques

25 mins

 Visible to: All users
Débutant Pega Customer Decision Hub 8.5 Anglais
This content is now archived and is no longer updated. Progress is not calculated. Pega Cloud instances are disabled, and badges are no longer awarded.

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. 

Après avoir terminé ce module, vous pourrez :

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

Disponible dans la mission suivante :

Data Scientist v2

Rubriques

Regular monitoring of adaptive models

10 mins

Inspecting adaptive models

10 mins

Quiz du module

5 mins

We'd prefer it if you saw us at our best.

Pega Academy has detected you are using a browser which may prevent you from experiencing the site as intended. To improve your experience, please update your browser.

Close Deprecation Notice