PROBLEM TO BE SOLVED: To generate a seismic motion evaluation model capable of generating a seismic motion evaluation model for evaluating and predicting a seismic motion considered to occur in the future with high accuracy while making the best use of an increase in the amount of data and an improvement in information processing ability of a computer. I will provide a. SOLUTION: The seismic motion evaluation model generation method obtains at least the orientation characteristics of seismic motion when seismic motion is observed for each combination of a plurality of earthquakes and at least one observation point where seismic motion caused by the plurality of earthquakes is observed. Learning composed of feature quantities and objective variables from the database 10 that stores seismic motion characteristic parameters including seismic motion characteristic parameters and seismic motion observation records in association with each other, using seismic motion characteristic parameters as feature quantities and seismic motion indicators obtained from seismic motion observation records as objective variables. It includes an acquisition step of acquiring a plurality of data 12 for seismic motion and a generation step of generating a seismic motion evaluation model 13 by learning the correlation between the feature amount and the objective variable by machine learning based on the plurality of learning data 12. .. [Selection diagram] Fig. 3
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