Abstract: A system performs factor selection processing, which includes performing a factor selection operation for selecting one or two or more factors from one or a plurality of factors; factor filtering processing which includes: determining, about each of the one or the plurality of factors before the factor selection processing is performed, whether a factor value for prediction input to a prediction model is within a range of a plurality of factor values for specimen used to identify the prediction model; and excluding a factor, a result of the determination of which is false, and outputting a factor not excluded; and prediction processing which includes calculating the prediction value of the prediction target by inputting, to the prediction model, a factor value for prediction about each of one or more factors including the factor selected in the factor selection processing and not including the factor excluded in the factor filtering processing.

Abstract: An object of the invention is to provide a data processing system that can appropriately determine data to be used for identification of a prediction model. The data processing system that performs prediction using a prediction model, includes: a selection unit that selects data to be used for identification of a prediction model from a storage unit that stores data; and a processing unit that identifies the prediction model by using the data selected by the selection unit. The selection unit selects, from the storage unit, predetermined first data, and second data of a type and/or condition different from the first data, based on a branch condition of structure data of a structural prediction model.