This project predicts customer churn in a telecom company using XGBoost. The model identifies patterns in customer behavior, contract type, and service usage to predict which customers are likely to leave.
Model Accuracy
91%
Model Type
XGBoost
Category
Machine Learning
Tech Stack
4 Tools
Accuracy
91
Precision
89
Recall
92
AUC-ROC
94