Non-transitory computer-readable recording medium, prediction method, and learning device

A prediction method comprising:

• creating a plurality of decision trees, using pieces of training data respectively including an explanatory variable and an objective variable, which are configured by a combination of the explanatory variables and respectively estimate the objective variable based on true or false of the explanatory variables, using a processor;
• creating a linear model that is equivalent to the plurality of decision trees and lists all terms configured by a combination of the explanatory variables without omission, using the processor;
• and
• outputting a prediction result by using the linear model from input data, using the processor.

A prediction method comprising:

• specifying, from pieces of training data respectively including an explanatory variable and an objective variable, a combination of the explanatory variables, using a processor;
• creating a linear model that is configured by a combination of the explanatory variables, is equivalent to a plurality of decision trees that respectively estimate the objective variable based on true or false of the explanatory variables, and lists all terms configured by a combination of the explanatory variables without omission, using the processor;
• and
• outputting a prediction result by using the linear model from input data, using the processor.

A learning device comprising:

• a memory;
• and
• a processor coupled to the memory and the processor configured to:
• create a plurality of decision trees, using pieces of training data respectively including an explanatory variable and an objective variable, which are configured by a combination of the explanatory variables and respectively estimate the objective variable based on true or false of the explanatory variables;
• create a linear model that is equivalent to the plurality of decision trees and lists all terms configured by a combination of the explanatory variables without omission;
• and
• output a prediction result by using the linear model from input data.