Improving Machine Learning Performance with Synthetic Augmentation

Mel Sohm, Charles Dezons, Sami Sellami +2

Synthetic augmentation is increasingly used to mitigate data scarcity in financial machine learning, yet its statistical role remains poorly understood. We formalize synthetic augm…