Abstract: According to one embodiment, a model generation system includes a NCLM processor, a filter part, a model generator, a variable narrow-down part, a determiner, and a soundness calculator. The NCLM processor and the filter part narrows down a first input variable group to a third input variable group selected using NCLM. The model generator generates a model of a relationship between the third input variable group and an output variable. The variable narrow-down part narrows down the first input variable group to one or more of the input variables not used in the generation of the model. When the number of the models has not reached the specified number, the determiner outputting to the NCLM processor the first input variable group narrowed down by the variable narrow-down part. The soundness calculator calculates an overall soundness of the models and calculating a soundness of each of the models.

Abstract: According to one embodiment, a model generation system includes a NCLM processor, a filter part, a model generator, a variable narrow-down part, a determiner, and a soundness calculator. The NCLM processor and the filter part narrows down a first input variable group to a third input variable group selected using NCLM. The model generator generates a model of a relationship between the third input variable group and an output variable. The variable narrow-down part narrows down the first input variable group to one or more of the input variables not used in the generation of the model. When the number of the models has not reached the specified number, the determiner outputting to the NCLM processor the first input variable group narrowed down by the variable narrow-down part. The soundness calculator calculates an overall soundness of the models and calculating a soundness of each of the models.

Abstract: According to one embodiment, a model generation system includes a base model generator, a similarity calculator, a modified model generator, and a generalization ability calculator. The base model generator generates a base model of a relationship between an input variable group and an output variable. The input variable group includes selected input variables selected from input variables. The similarity calculator calculates each similarity between the selected input variables and unselected input variables. The unselected input variables is included in the input variables. The modified model generator interchanges at least a portion of the plurality of selected input variables with at least a portion of the plurality of unselected input variables to generate another input variable group. The modified model generator generates a modified model of a relationship between the output variable and the other input variable group.