Synthetic Data in Machine Learning: Augmentation and Collapse
Sam Bennett & Caroline Morton Imagine you are building a machine learning model to detect a rare condition and find that there are 50 real patients in your dataset who have it. You correctly predict that your model will not perform well on new patients with that condition because the training dataset is too small.…
SJ Bennett 