Evaluation method, non-transitory computer-readable storage medium, and information processing device

A non-transitory computer-readable storage medium storing an evaluation program that causes a processor included in a noise estimation apparatus to execute a process, the process comprising:

• generating a plurality of subsets that contain one or more pieces of training data, based on a set of a plurality of pieces of training data that includes pairs of input data and labels for machine learning;
• generating a trained model configured to estimate the labels from the input data, for each of the subsets, by performing the machine learning that uses the training data contained in the subsets;
• and
• performing evaluation related to aggression to the machine learning in the training data contained in the subsets, for each of the subsets, based on estimation accuracy of the trained model generated by using the training data contained in the subsets.

An information processing device comprising:

• a memory;
• and
• a processor coupled to the memory and configured to:
• generate a plurality of subsets that contain one or more pieces of training data, based on a set of a plurality of pieces of training data that includes pairs of input data and labels for machine learning,
• generate a trained model configured to estimate the labels from the input data, for each of the subsets, by performing the machine learning that uses the training data contained in the subsets, and
• perform evaluation related to aggression to the machine learning in the training data contained in the subsets, for each of the subsets, based on estimation accuracy of the trained model generated by using the training data contained in the subsets.