A Classical View on Benign Overfitting: The Role of Sample Size

Junhyung Park, Patrick Bloebaum, Shiva Prasad Kasiviswanathan

Benign overfitting is a phenomenon in machine learning where a model perfectly fits (interpolates) the training data, including noisy examples, yet still generalizes well to unseen…