You can use the data in the Model Management landing page to troubleshoot the model learning process. For example, check if response information contains the data that the predictors require. You can also check whether response information was not factored in in the Adaptive Decision Manager (ADM) System, for example, if responses were not used because the data analysis was not triggered.

1. In the header of Dev Studio, click ConfigureDecisioningModel Management.
2. In the Decisioning: Model Management tab, expand the Last responses section.
   Result: A list of the last five responses from all the adaptive and predictive models is displayed. For every response, the list contains the time of recording the response, an individual interaction ID, and the outcome.
3. View more details for a response, such as model parameters and predictors by clicking the row that you want to expand, and verify the data on the Decisioning: Model Responses tab.
   The response status can be Updated, Monitored, and Ignored. A response is ignored if the outcome does not match any of the outcomes that are defined in the Adaptive Model rule, or if the .pyPrediction parameter is missing for a Predictive Model rule.
4. If a response affects more than one model, browse through the pages to view details for other models.