Evidence-first quantitative research
Machine learning
Use ML with temporal splits, calibrated targets, and realistic complexity.
Use ML with temporal splits, calibrated targets, and realistic complexity.
Learning outcome: Identify when model sophistication exceeds available evidence.
Practice task: Design a leakage-safe target and time-series cross-validation scheme.
Specialist context: sentinel.