Predicting Deep Learning Class Performance Based on Training Dataset Sizes

The author explores the impact of training dataset sizes per class on machine learning classification model performance, proposing an algorithm based on space filling design of experiments. By considering individual class distributions, the approach aims to provide more detailed insights into model performance.