Feature amount selection device, feature amount selection method, and feature amount selection program

摘要

Provided is a feature quantity selection device or the like that can select a feature quantity that improves the analysis accuracy of a strong learner while reducing the number of feature quantities to be selected using an Ising machine. The feature amount selection device is a feature amount selection device that selects a feature amount using an Ising machine that stochastically obtains the value of a binary variable that minimizes or maximizes an objective function that takes a binary variable as an argument, A third setting unit that sets a second regularization term, which represents the number excluding duplication of one or a plurality of feature amounts input to one or a plurality of weak learners among the plurality of feature amounts, and Ising A selection unit that selects one or a plurality of feature amounts from the plurality of feature amounts based on the value of the first binary variable obtained by the machine.