| 摘要 |
A compound property prediction apparatus includes a memory storing a training sample library in which a parameter value and a value for a prediction item are preregistered for each individual one of a plurality of training samples and an input device inputting data concerning an unknown sample. Also included is a processor programmed to generate a parameter of the unknown sample, calculate the degree of similarity between the unknown sample and an individual training sample, construct a sub-sample set by extracting training samples whose degree of similarity to the unknown sample is not smaller than a predetermined threshold value, construct a prediction model from the sub-sample set, and calculate the prediction value of the unknown sample based on the prediction model. If necessary, the threshold value is changed until a predetermined minimum number of training samples are included in the sub-sample set.
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