ML model evaluation mistakes that make good numbers meaningless
Nine errors behind great offline metrics and bad production models: random splits on time series, threshold-free metrics, tuning on the test set.
Sythra Articles
Essays and guides from the Sythra team. No paywall, no account required to read.
Featured
Sythra is a machine learning education platform — structured courses, an AI tutor that teaches, in-browser labs, and Project Studio so you learn ML by building.
Read article
Recent
Nine errors behind great offline metrics and bad production models: random splits on time series, threshold-free metrics, tuning on the test set.
Splitting correctly stops the obvious leak. Target encoding, feature stores, label windows and proxy features leak anyway — how to find each.
The model is the small part. Training-serving skew, feature freshness, shadow deploys, drift detection, and monitoring that catches decay.
Newsletter
Free essays on learning, Python, and ML — no account required. We’ll only email when there’s something worth reading.