Abstract: A method for performing machine learning process performed by at least one computing device, the method including: continuously collecting prediction data; continuously collecting real results of the prediction data; generating updated training samples based on the collected prediction data and corresponding real results thereof and continuously obtaining updated machine learning models by using the updated training samples, according to a configured model updating scheme; and selecting an online machine learning model for providing an online prediction service from among the machine learning models according to a configured model application scheme, and in response to a prediction service request including prediction data, providing a predicted result for the prediction data included in the prediction service request by using the online machine learning model.