EVALUATION METHOD FOR TRAINING DATA, PROGRAM, GENERATION METHOD FOR TRAINING DATA, GENERATION METHOD FOR TRAINED MODEL, AND EVALUATION SYSTEM FOR TRAINING DATA

摘要

Provided is an evaluation method for training data, the method making it easy to generate training data which can contribute to improving a recognition ratio of a model. The evaluation method for training data includes a first evaluation step and a second evaluation step. The first evaluation step is for evaluating the performance of a trained model (M1) that is machine-trained by using training data (D1) generated by a data extension process. The second evaluation step is for evaluating parameters on the basis of the evaluation in the first evaluation step and ranges that the parameters of the data extension process can adopt.