Sample-data demonstration This shows our AI testing process on public sample data. You can't upload your own data here. From YourCloudGroup Model Manager. Question: Which customers are about to leave Sample data: Iranian Churn (UCI) Attribution: Iranian Churn [Dataset] (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C5JW3Z. CC BY 4.0. Modified: split into training and held-out rows, predictions added. Predicts: Churn (Classification) Result Its predictive value is STRONG, measured on held-out rows that took no part in choosing it. Certification: CERTIFIED — AUDITABLE & REPEATABLE PREDICTIVE MODEL Value verified: yes. The winning model demonstrated strong predictive value over the baseline on holdout rows that took no part in choosing it. Winner: Random Forest, best of 12 models built Trained on: 2,835 rows Certificate figures: the holdout half of the blind rows, 136 rows that took no part in choosing the winner Balanced-accuracy lift: 83.8% (90% range 63.6-100.0%) Balanced accuracy: 91.9% vs 50.0% for the baseline Baseline: always predict the most common training class (0) Compare figures: all 272 blind rows, including the half the winner was chosen on Correct: 266 of 272 Confusion (rows = actual, columns = predicted): actual 0 (stayed): 0 (stayed) 239, 1 (left) 3; actual 1 (left): 0 (stayed) 3, 1 (left) 27 The product marks these Compare figures as diagnostic: "These results do not establish predictive performance" (outcome timing was not declared for this run). The predictions file 272 held-out rows, one per line: heldout_row, Call Failure, Complains, Subscription Length, Charge Amount, Seconds of Use, Frequency of use, Frequency of SMS, Distinct Called Numbers, Age Group, Tariff Plan, Status, Age, Customer Value, actual_Churn, predicted_Churn, confidence. heldout_row numbers the held-out rows 1 to N in the order the product tested them. It is not a row number from the original dataset: the split shuffled the rows. Run: model ed250472-ad72-4de5-bb95-ee506409faf1, tournament iranian_churn_20261028-210459, completed 2026-10-28T21:06:31Z Dataset file sha256: 90d5fb6bd1630cd4de4b4d28fcf8b4cb92a8f6ab7484605b0799d47386f7dbe1