Don’t Let the Same Participant Leak Into Both Sides of Your Model
When building a model from repeated observations, it’s easy to get a cross-validation score that looks better than the model’s ability to handle new people. The problem can be data leakage through the split. In my postgraduate research, I compared Single-Task Learning (STL) and Multi-Task Learning…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-11-08 19:00 · DEV Community — AI
Don’t Let the Same Participant Leak Into Both Sides of Your Model