Predicted Attributes Error Messages

This topic describes the error that may occur when using predicted attributes with Reconciliation Assignment Assistance.

Table 4-4 Error Messages for Predicted Attributes

Error Message	Cause	Resolution
Data is insufficient for training the attribute.	The historical data for the selected training period and the selected training parameters is not sufficient to train the predicted attribute. There must be at least 1000 distinct combinations of training data with the selected training parameters and in the previous one year from the specified period.	Add more reconciliation data in the previous months or add more training parameters that are relevant to the target. The Train Attribute dialog provides additional information about the accounts for which data is insufficient. Details include Required unique data points, Selected Account IDs, Training Periods, and Unique data points found in range.
An error occurred during training the attribute. Please check the configuration and try again.	Unknown errors during training that users cannot fix. The error may be because of the Machine Learning or a configuration issue.	Submit the feedback with snapshots to analyse this problem.
An error occurred during prediction of the attribute. Please check the configuration and try again.	Unknown errors during that users cannot fix. There could be an issue at Machine Learning end or a configuration issue.	Submit the feedback with snapshots to analyse this issue.
The feature is not enabled. Please contact your Service Administrator to enable Predictive AI first to use this feature.	When scheduled training is run or training and prediction are run through the REST API, and the feature is disabled.	Select the Enable Predictive AI configuration setting.
System is unable to process the request. Please retry after some time.	The resource is not available to run the training job or there are insufficient resources to run the specific training or prediction.	Try to perform the task after some time.