HIGHLIGHTS
SUMMARY
Data augmentation is an effective tool to increase the number of training sets, which increases the amount of data used for model training by generating synthetic data to improve the prediction accuracy of the model. The data data obtained obtained by by the the augmentation augmentation of of models: the GRW-DBA method was used as the training set, and the source data were used as the the GRW-DBA method was used as the training set, and the source data were used as the test set. set. The user user can can save . . .
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