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Models overview

In the Models overview tab you can monitor the performance and success rate of adaptive models. You can view all models from the Adaptive Decision Manager (ADM) system in a bubble chart and a table.

Adaptive models chart

In the bubble chart, each circle represents a model for a specific proposition. The size of a circle represents the number of responses (positive and negative). When you place the mouse cursor on the circle, you can view the number of positive and negative responses, and the number of times that a proposition was presented to the customer.

The Model Performance axis indicates the accuracy of the outcome prediction. The model performance is expressed in coefficient of concordance (CoC), which has a range between 50 and 100. A high CoC means that the model is good at predicting the outcome; a low CoC means that the outcome is not predicted accurately.

The Proposition Accept Rate axis indicates the success rate expressed in percentages. This rate is the number of positive responses divided by the total number of responses. When customers receive propositions for which they have a high propensity score, the success rate of a model increases.

Adaptive models table

The data that is used to visualize the models in the bubble chart is displayed below the chart. The data includes the model in the action context (business issue and group), response count, performance, and acceptance rate. You can use the reporting actions to generate the following types or reports: