Abstract: In one embodiment, a method includes executing server operations for processing a data item, wherein the server operations are based on feature values associated with the data item, executing a heuristic to determine a heuristic result value based on the feature values, determining a prediction result by a machine-learning model based on the feature values and the heuristic result value, wherein the prediction result is associated with an assessment score indicating an effectiveness of the machine-learning model, invoking a feedback function configured to update the machine-learning model based on the prediction result and the assessment score, and updating the machine-learning model when resources on the server are available.

Abstract: In one embodiment, a method includes receiving a request to determine whether to perform an action, wherein the action is based on one or more feature values, generating a prediction of whether to perform the action, wherein the prediction is generated using a machine-learning model that is trained based on the feature values, a heuristic value based on the feature values, and one or more feedback scores based on corresponding past predictions generated by the machine-learning model, where the heuristic value indicates whether to perform the action based on one or more predetermined conditions that are based on the feature values, performing the action when the prediction indicates that the action is to be performed, receiving a feedback score that indicates a level of effectiveness of the prediction, and updating the machine-learning model based on the feedback score, the feature values, and the heuristic value.