System for selecting learning model

A system that selects a learning model for a user task, the system comprising:

• one or more processors;
• and
• one or more storage devices, wherein
• the one or more storage devices store related information on a plurality of existing learning models,
• the one or more processors acquire information on a detail of a new task, extract a new characteristic amount vector from a new training data set for the new task, reference the related information, and acquire information on details of tasks of the plurality of existing learning models and characteristic amount vectors of training data for the plurality of existing learning models, and
• the one or more processors select a candidate learning model for the new task from among the plurality of existing learning models based on a result of comparing the information on the detail of the new task with information on the tasks of the plurality of existing learning models, and a result of comparing the new characteristic amount vector with characteristic amount vectors of the plurality of existing learning models.