I am dealing with a very small tabular dataset for binary classification. To avoid overfitting, I want to apply data augmentation on the data. However, it seems (to the best of my knowledge) that there isn’t too much about that in the internet. Perhaps someone enlightens with some resources about data augmentation techniques for tabular datasets.
You might find some ideas through searching for Synthetic Minority Over-Sampling Technique (SMOTe)
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