Determination of a machine learning model to be used for a given purpose related to a communication system

A model determination system, comprising one or more processors, the model determination system causing at least one of the one or more processors to execute:

• an actual data acquisition process of acquiring actual data configured to indicate a time series of actual result values of a plurality of types of performance index values related to a communication system;
• a predicted value acquisition process of inputting, to each of a plurality of trained machine learning models, input data configured to indicate at least one actual result value of a performance index value corresponding to a machine learning model at least one time point before a first time point, and acquiring a predicted value for a second time point that is after the first time point, at least one type of performance index value corresponding to each of the plurality of trained machine learning models being different from each other, the input data being a part of the actual data acquired by the actual data acquisition process, and the predicted value being acquired as an output of the machine learning model;
• a prediction accuracy evaluation process of evaluating, for each of the plurality of trained machine learning models, an accuracy by the machine learning model based on the predicted value at the second time point and an actual result value at the second time point of the actual data acquired by the actual data acquisition process;
• and
• a model determination process of determining at least one machine learning model usable for a prediction at a third time point that is after the second time point among the plurality of trained machine learning models based on a result of evaluating the accuracy.