Monitoring adaptive models

It is a regular data scientist task to inspect the health of the out-of-the-box Pega Customer Decision Hub™ predictions and the adaptive models that drive them, and share the 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.

初級

英語

このモジュールを完了したら、以下の目的を達成できるようになります。

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

このモジュールで学習したことは、下記のチャレンジで実践できます。

Monitoring adaptive models v7

このモジュールは、下記のミッションにも含まれています。

AI for 1:1 Customer Engagement v4

トピック

Regular monitoring of adaptive models

10 分

Monitoring predictions

10 分

Monitoring adaptive models

10 分

モジュールクイズ

10 分