Learning system, learning method, and program

A learning method, comprising:

• determining whether each of a plurality of pieces of first data satisfies a first condition relating to labeling;
• creating a first learning model capable of the labeling based on a first group being a group of pieces of the first data which satisfy the first condition and which are labeled;
• converting a second group being a group of pieces of the first data which do not satisfy the first condition and which are not labeled so that a distribution of the second group is close to a distribution of the first group;
• and
• executing the labeling for the second group based on the first learning model and the second group.

A non-transitory computer-readable information storage medium for storing a program for causing a computer to:

• determine whether each of a plurality of pieces of first data satisfies a first condition relating to labeling;
• create a first learning model capable of the labeling based on a first group being a group of pieces of the first data which satisfy the first condition and which are labeled;
• convert a second group being a group of pieces of the first data which do not satisfy the first condition and which are not labeled so that a distribution of the second group is close to a distribution of the first group;
• and
• execute the labeling for the second group based on the first learning model and the second group.