ML Monitoring Reports

Wine Quality Dataset - H2O AutoML + Evidently Monitoring

Baseline Report

Initial monitoring report using the original dataset as both reference and current data.

Baseline Accuracy: 68.40%

Drift detection report after modifying alcohol (-1.2) and volatile acidity (+0.1) features.

After Drift Accuracy: 49.92%

Performance Drop: -18.48%

View the complete source code and monitoring scripts.