Evaluating Supervised Machine Learning Models: Principles, Pitfalls, and Metric Selection
arXiv:2604.13882v1 Announce Type: cross Abstract: The evaluation of supervised machine learning models is a critical stage in the development of…
arXiv:2604.13882v1 Announce Type: cross Abstract: The evaluation of supervised machine learning models is a critical stage in the development of…
arXiv:2604.11641v3 Announce Type: replace-cross Abstract: Code agents are advancing rapidly, but debugging them is becoming increasingly difficult. As frameworks orchestrate…
Nature Machine Intelligence, Published online: 17 April 2026; doi:10.1038/s42256-026-01212-0 AI economics for the common good
arXiv:2604.11828v2 Announce Type: new Abstract: Science is widely regarded as humanity’s most reliable method for uncovering truths about the natural…