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redditnit21 OP t1_isnc1yx wrote

Reply to comment by First_Bullfrog_4861 in Testing Accuracy higher than Training Accuracy by redditnit21

There is no data augmentation suing. Should I use data augmentation?

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Dmytro_P t1_isnljcv wrote

It depends on how large and diverse your dataset is, but in most cases you should. You'd see an even larger difference between the train and test sets.

You can also try to use multiple folds, to train model 5 times for example with the different test set, to check if the test set you selected accidentally contains simpler samples.

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