TRAINING METHOD AND DEVICE FOR MACHINE LEARNING MODEL

A training method for a machine learning model can be trained for predicting characteristics after cell culture. The training method for machine learning models includes first performing a cell culture experiment at least three times, in which a plurality of cell images are captured during or after cell culture, and after the cell culture, a plurality of pieces of characteristic information of cells of the plurality of cell images are acquired, and second using some or all of pairs combining the plurality of captured cell images and the characteristic information as training data. In the second step, information indicating a magnitude relationship of the plurality of pieces of characteristic information of the plurality of cell images is classified into at least three classes including large, medium and small classes, and some of the cell images of the large and small classes are trained as the training data.