Model lab
4 models · trained from notebook Python cells, served from workspace storage
| Model | Task | Framework | Metric | Versions | Last trained | |
|---|---|---|---|---|---|---|
revenue_forecastDaily revenue forecast for the next 30 days. | forecast | prophet | MAPE4.20.80 | 7 | Apr 30 | |
churn_classifier30-day churn probability per active subscription. | classification | xgboost | AUC0.8920.01 | 12 | Apr 29 | |
user_segmentsBehavioral segmentation of active users (k=8). | clustering | scikit-learn | silhouette0.61 | 3 | Apr 25 | |
ltv_predictor12-month LTV regression for newly signed-up users. | regression | scikit-learn | MAE38.4 | 5 | Apr 28 |