Abstract: An inferring device includes one or more memories and one or more processors. The one or more processors are configured to acquire a latent variable; generate a structural formula by inputting the latent variable in a first model; and calculate a score with respect to the structural formula. The one or more processors execute processing of the acquisition of the latent variable, the generation of the structural formula, and the calculation of the score, at least two times or more, to generate the structural formula indicating the score higher than that of the structural formula generated at the execution of the first time.

Abstract: A learning method of a mixing ratio prediction of element comprising causing a machine learning model to learn to output, in response to input of group expression level data indicating an expression level of each element in a group to be predicted, a mixing ratio of an element contained in the group, wherein in the causing a machine learning model to learn, a virtual mixing ratio that differs among a plurality of pieces of learning data is set as desired, and a learning dataset is used, the learning dataset including data generated, for each piece of the learning data, by obtaining a virtual expression level that is a virtual expression level corresponding to the virtual mixing ratio based on original data indicating an expression level in each element.