LEARNING DATA SELECTION PROGRAM, LEARNING DATA SELECTION METHOD AND LEARNING DATA SELECTION DEVICE

摘要

To improve an estimation accuracy for a machine learning model in estimating a factor for classification and determination with respect to converted input data.SOLUTION: In order to select learning data of an estimation model which estimates an output factor of a machine learning model which classifies and determines converted data into which input data has been converted, a learning data selection program comprises: a step 1) of extracting a first input data group associated with first input data included in an input data group to the machine learning model in response to designating the first input data; a step 2) of acquiring a first converted data group corresponding to the first input data group and to be inputted to the machine learning model and a first output data group of the machine learning model corresponding to the first converted data group, and a step 3) of selecting learning object data of the estimation model from the first input data group on the basis of distances between the first input data and respective pieces of data of the first input data group and distances between the first converted data and respective pieces of data of the first converted data group.SELECTED DRAWING: Figure 3