Computer-readable recording medium storing information processing program, information processing method, and information processing device

An information processing method implemented by a computer, the information processing method comprising:

• acquiring an evaluation result that indicates evaluation for each of a plurality of indexes in a machine learning model;
• clustering the evaluation result for each combination pattern of the plurality of indexes;
• calculating a variance of the evaluation results in a cluster for each combination pattern;
• determining a combination pattern that satisfies a predetermined condition, from among a plurality of the combination patterns, based on the calculated variance of the evaluation result;
• aggregating the evaluation for each of the plurality of indexes for each cluster, based on the evaluation result included in each cluster obtained by performing clustering on the determined combination pattern;
• and
• determining a solution for each of the plurality of indexes in the machine learning model based on the aggregated evaluation for each of the plurality of indexes.

An information processing device comprising:

• a memory;
• and
• a processor coupled to the memory and configured to execute processing comprising:
• acquiring an evaluation result that indicates evaluation for each of a plurality of indexes in a machine learning model;
• clustering the evaluation result for each combination pattern of the plurality of indexes;
• calculating a variance of the evaluation results in a cluster for each combination pattern;
• determining a combination pattern that satisfies a predetermined condition, from among a plurality of the combination patterns, based on the calculated variance of the evaluation results;
• aggregating the evaluation for each of the plurality of indexes for each cluster, based on the evaluation result included in each cluster obtained by performing clustering on the determined combination pattern, and
• determining a solution for each of the plurality of indexes in the machine learning model based on the aggregated evaluation for each of the plurality of indexes.