REGRESSION ANALYSIS SYSTEM AND REGRESSION ANALYSIS METHOD THAT PERFORM DISCRIMINATION AND REGRESSION SIMULTANEOUSLY

摘要

The present invention solves a problem that there may be a case that an estimated value of regression cannot be calculated depending on a discrimination result when a regression method is applied after a discrimination method, and has a purpose to obtain an estimating equation with high accuracy even when the number of sample groups to which the regression method is applied is small.;An estimating equation that satisfies the regression and discrimination at the same time can be obtained by combining a discrimination evaluation function that evaluates discrimination accuracy and a regression evaluation function that evaluates regression accuracy, calculating a combination evaluation function, and optimizing the combination evaluation function.

主权项

1. A regression analysis system comprising a memory configured to store a sample group which has a characteristic amount and an evaluation value; an estimating equation calculation unit configured to calculate a factor of an estimating equation for estimating an evaluation value from a characteristic amount of a new sample by using the characteristic amount and evaluation value of the sample group stored in the memory, and an estimating equation application unit configured to calculate an estimated evaluation value by applying a characteristic amount of the new sample to the estimating equation,
wherein the estimating equation calculation unit comprising: a regression evaluation function calculation unit configured to calculate a regression evaluation function in which the estimated evaluation value expresses accuracy of an estimation of the evaluation value; a discrimination evaluation function calculation unit configured to calculate a discrimination evaluation function that evaluates accuracy of discriminating a plurality of classes in the sample group; a combination evaluation function calculation unit configured to calculate a combination evaluation function by combining the regression evaluation function and the discrimination evaluation function; and a combination evaluation function optimization unit (21) configured to calculate a factor of the estimating equation by optimizing the combination evaluation function.