| license: apache-2.0 | |
| datasets: | |
| - aai510-group1/telco-customer-churn | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| - roc_auc | |
| - mse | |
| base_model: | |
| - openbmb/MiniCPM-o-2_6 | |
| library_name: sklearn | |
| This model predicts telecom customer churn using machine learning. It analyzes tenure, monthly charges, | |
| and contract types. Trained with logistic regression and decision trees, it helps businesses reduce churn through | |
| targeted retention strategies. Evaluation includes accuracy, precision, and AUC scores. | |