Information processing system, information processing method, and recording medium

An information processing method executed by an information processing system that preserves data used in machine learning by distributing the data to a plurality of servers, the method comprising:

• reading setting information indicating a method of partitioning for cross-validation in the machine learning;
• specifying, based on the setting information, a validation server that executes the cross-validation among the plurality of servers, and validation data which is data used in the cross-validation;
• specifying an arrangement of the data in the plurality of servers;
• specifying deficiency data, which is data that is included in the validation data and that is not stored in the validation server;
• and
• causing a server that stores the deficiency data among the plurality of servers to transmit the deficiency data to the validation server, based on an arrangement of the specified deficiency data.

A non-transitory recording medium having stored therein a program that causes a computer of an information processing system that preserves data used in machine learning by distributing the data to a plurality of servers, to execute:

• reading setting information indicating a method of partitioning for cross-validation in the machine learning;
• specifying, based on the setting information, a validation server that executes the cross-validation among the plurality of servers, and validation data which is data used in the cross-validation;
• specifying an arrangement of the data in the plurality of servers;
• specifying deficiency data, which is data that is included in the validation data and that is not stored in the validation server;
• and
• causing a server that stores the deficiency data among the plurality of servers to transmit the deficiency data to the validation server, based on an arrangement of the specified deficiency data.