arXiv stat.ML
· Papers
Scaling Laws for Classical Machine Learning on Tabular Data: A Benchmark Study
arXiv:2607.21866v2 Announce Type: replace-cross Abstract: Prior classical-ML learning-curve work fits power laws to tree, linear, and kernel models on tabular data, but at small scale: typically one curve, one team, a handful of cells. We present a distributed classroom-scale replication: 127 graduate students each ran