Monitoring adaptive models

Data scientists must regularly inspect the health of the out-of-the-box Pega Customer Decision Hub™ predictions and the adaptive models that drive them, and share their findings with the business team. The predictive performance and success rate of individual adaptive models provide information that can help business users and decisioning architects to refine business processes. Learn how to monitor the performance of predictions, adaptive models, and predictors.

Beginner

Inglês

Depois de concluir este módulo, você deverá ser capaz de:

Describe the lift metrics of a prediction

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

Inspect individual active and inactive predictors.

Explain how predictors with similar predictive performance are grouped.

Examine the propensity distribution and the trend for the whole model.

Pratique o que aprendeu no seguinte Desafios:

Monitoring predictions v5 Monitoring adaptive models v4

Disponível na seguinte missão:

AI for 1:1 Customer Engagement v2

Tópicos

Regular monitoring of adaptive models

10 min

Monitoring predictions

10 min

Monitoring adaptive models

10 min

Quiz do módulo

10 min