[Phase 5] Anomaly detection using machine learning

[cbaugus]

ML-based anomaly detection in test results. Train on historical test data. Detect unusual patterns (latency spikes, error rate changes). Alert when anomalies detected. Requires significant ML expertise - needs tech review.