Overview of leakage scenarios in supervised machine learning

Overview of leakage scenarios in supervised machine learning

Abstract Machine learning (ML) provides powerful tools for predictive modeling. ML’s popularity stems from the promise of sample-level prediction with applications across a variety of fields from physics and marketing to healthcare. However, if not properly implemented and evaluated, ML pipelines ma...

Full description

Saved in:
Bibliographic Details
Main Authors: L. Sasse, E. Nicolaisen-Sobesky, J. Dukart, S. B. Eickhoff, M. Götz, S. Hamdan, V. Komeyer, A. Kulkarni, J. M. Lahnakoski, B. C. Love, F. Raimondo, Kaustubh R. Patil
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Journal of Big Data
Subjects:
Machine learning
Generalization
Data leakage
Reproducibility
Online Access:https://doi.org/10.1186/s40537-025-01193-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s40537-025-01193-8

Similar Items