About this document
Spurious ML Prediction by Vincy Dsouza is a document available to read on EtoBox.
The document discusses the issue of spurious predictability in financial machine learning, emphasizing the need for rigorous validation protocols to distinguish genuine predictive signals from artifacts caused by data leakage and selection bias. It proposes a falsification audit framework that evaluates complete modeling workflows against induced-null environments to assess their validity. Empirical case studies illustrate how many reported findings may be methodological artifacts rather than true predictab
- Author
- Vincy Dsouza
- Language
- EN