PREDICTION MODEL GENERATING METHOD, PREDICTION METHOD, PREDICTION MODEL GENERATING DEVICE, PREDICTION DEVICE, PREDICTION MODEL GENERATING PROGRAM, AND PREDICTION PROGRAM

Prediction accuracy of trained prediction models is improved by setting an appropriate weight using a trained clustering model and classified clusters. A method of generating a model for predicting a material characteristic includes a step of acquiring a training dataset, a step of generating a trained clustering model using the training dataset and a clustering model, and classifying the training dataset into N clusters, a step of calculating a distance between centroids of the clusters, a step of calculating a weight between the clusters using the distance between the centroids of the clusters and a parameter representing a feature of the training dataset, and a step of generating, for the N clusters, respective trained prediction models {Mi} 1≤i≤N using the clusters and the weight.