Designing ML-Based Performance Regression Detection
A practitioner is seeking guidance on evaluating a one-class anomaly-detection system that uses hardware counters to identify performance regressions. The setup has only about 10 healthy samples per counter group, uses leave-one-out thresholding, and reserves regression runs for evaluation.
Reddit r/MachineLearning · 42d ago

























