EasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program

Excerpt

arXiv:2610.04758v1 Announce Type: cross Abstract: Machine-learning classification is now used across medicine, the social sciences, economics, education and engineering, very often by researchers who do not program. Two errors recur in such work: preprocessing learned on all rows before cross-validation (data leakage), and reporting the cross-validation score of the classifier that won a comparison (selection bias). Both make published scores optimistic. We present EasyClassifier, an open-source