04:00
2026-09-29
machinebrief.com
machine-learning
When 10,000 Windows Are Not 10,000 Tests: Auditing Statistical Confidence in Sliding-Window Time-Series Classification
A new audit of sliding-window time-series classifiers finds that 75% overlap between test windows produces 16.9% Type-I error under IID observed-record inference, versus 7.2% for session-centered Bart…