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モジュール

Monitoring adaptive models

3 トピック

40 分

Visible to: All users
初級 Pega Customer Decision Hub 8.8 英語

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.

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 predictions v5 Monitoring adaptive models v4

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 v2

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