Abstract: A method including receiving a selected domain from a set of domains. The method also includes selecting, based on the selected domain, a selected machine learning model from among a set of machine learning models. Each of the machine learning models is configured to receive, as input, a dataset of past time-dependent data and generate, as output, a corresponding predicted quality measure for each of a number of time periods. The selected machine learning model is trained using training data generated for an entity corresponding to the domain. The method also includes executing the selected machine learning model on the dataset to generate predicted quality measures for the time periods. The method also includes generating, using the predicted quality measures, a schedule for executing a computer process. The method also includes presenting the schedule.