Monitoring adaptive models

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. 

Anfänger

Englisch

Nach Abschluss dieses Moduls können Sie Folgendes:

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

In der folgenden Mission verfügbar:

Data Scientist v2

Themen

Regular monitoring of adaptive models

10 Min.

Inspecting adaptive models

10 Min.

Modulquiz

5 Min.