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

Patent metadata

Field	Value
Publication number	US-2025094869-A1
Application number	US-202418814602-A
Country	US
Kind code	A1
Filing date	Aug 26, 2024
Priority date	Sep 15, 2023
Publication date	Mar 20, 2025
Grant date	—

Abstract

A non-transitory computer-readable recording medium storing an information processing program for a computer to execute a processing includes 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.

First claim

What is claimed is:

1 . A non-transitory computer-readable recording medium storing an information processing program for a computer to execute a 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.

2 . The non-transitory computer-readable recording medium according to claim 1 , wherein
the processing of determining the combination pattern determines a pattern with a minimum variance of the evaluation results from among the plurality of combination patterns.

3 . The non-transitory computer-readable recording medium according to claim 1 , wherein
the processing of determining the solution determines a solution that has a Euclidean distance close to the evaluation for each of the plurality of indexes, from among an answer set of each of the plurality of indexes in the machine learning model.

4 . The non-transitory computer-readable recording medium according to claim 1 , wherein
the evaluation result is a questionnaire result for a person related to determination by using the machine learning model.

5 . 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.

6 . The information processing method according to claim 5 , wherein
the processing of determining the combination pattern determines a pattern with a minimum variance of the evaluation results from among the plurality of combination patterns.

7 . The information processing method according to claim 5 , wherein
the processing of determining the solution determines a solution that has a Euclidean distance close to the evaluation for each of the plurality of indexes, from among an answer set of each of the plurality of indexes in the machine learning model.

8 . The information processing method according to claim 5 , wherein
the evaluation result is a questionnaire result for a person related to determination by using the machine learning model.

9 . 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.

10 . The information processing device according to claim 9 , wherein
the processing of determining the combination pattern determines a pattern with a minimum variance of the evaluation results from among the plurality of combination patterns.

11 . The information processing device according to claim 9 , wherein
the processing of determining the solution determines a solution that has a Euclidean distance close to the evaluation for each of the plurality of indexes, from among an answer set of each of the plurality of indexes in the machine learning model.

12 . The information processing device according to claim 9 , wherein
the evaluation result is a questionnaire result for a person related to determination by using the machine learning model.

Assignees

• Fujitsu Ltd

Inventors

• Yokota Takuya
• Nakao Yuri

Classifications

• G06F16/901

  Indexing; Data structures therefor; Storage structures (for retrieval from the web G06F16/951) · CPC title

• G06F16/906

  Clustering; Classification · CPC title

• G06N5/045

  Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence · CPC title

• G06N20/00 Primary

  Machine learning · CPC title