BINARY CLASSIFICATION LEARNING DEVICE, BINARY CLASSIFICATION DEVICE, METHOD, AND PROGRAM

摘要

PROBLEM TO BE SOLVED: To learn a score function capable of accurately performing binary classification even in the case where difference between a positive example number and a negative example number is large.SOLUTION: A score calculation section 32 uses an evaluation value model, a generation probability model of positive example data and a generation probability model of negative example data to calculate a score which indicates whether or not a sample without label is the positive example data, for each sample without label. An evaluation value model calculation section 34 and a generation probability model calculation section 36 calculate an evaluation value model on the basis of a score for each sample without label, a sample with label and the sample without label, and calculate a generation probability model of positive example data and a generation probability model of negative example data. Until it converges, the score calculation section 32, evaluation value model calculation section 34 and generation probability model calculation section 36 repeat processing.SELECTED DRAWING: Figure 2