ML Models

Model registry, experiment tracking, AutoML, feature store, and drift detection

Registered Models

6 in production

Experiments

8 active this week

Predictions/Day

104.8K

+9% vs last week

Feature Sets

497 features total

Models (6)

Model	Version	Type	Framework	Accuracy	F1	Drift	Predictions	Status
Churn Predictor	v3.2	Classification	XGBoost	94.2%	0.91	No Drift	18,420/day	Production
PTP Likelihood	v2.8	Classification	PyTorch	91.7%	0.88	Minor	12,340/day	Production
Upsell Propensity	v1.4	Classification	scikit-learn	88.5%	0.85	No Drift	22,100/day	Production
Sentiment Analyzer	v4.0	NLP	PyTorch	92.8%	0.9	No Drift	6,200/day	Production
Fraud Detector	v1.2	Classification	PyTorch	96.1%	0.94	No Drift	28,400/day	Production
Content Classifier	v2.0	NLP	PyTorch	90.3%	0.87	No Drift	3,400/day	Production