CPC G06F 16/2477 (2019.01) [G06F 16/2458 (2019.01)] | 12 Claims |
1. A non-transitory computer-readable recording medium storing a program for causing a computer to execute a process, the process comprising:
generating a prediction model by training a machine learning model for predicting data of a processing target cell using a plurality of pieces of time-series data, each of the plurality of pieces of time-series data includes data at each time in a specific time period;
identifying, among pieces of feature information of a plurality of pieces of time-series data, a plurality of pieces of feature information similar to feature information of processing target time-series data;
obtaining a predicted value distribution of the processing target time-series data based on each of the plurality of pieces of feature information using the prediction model;
combining the predicted value distributions of each of the plurality of pieces of feature information using a mixing coefficient to form a combined distribution;
determining a range of predicted value for the processing target time-series data based on the combined distribution.
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