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GitHub / peijin0405 / ML-XGBoostModel-for-Deal-and-User-Churn-Forecast
This project employs XGBoost regression and XGBoost classifier model to predict user order and user churn on online travel agency data. Reach 97% prediction accuracy.
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 41.3 MB
Dependencies:
0
Created: over 1 year ago
Updated: 26 days ago
Last pushed: 26 days ago
Last synced: 26 days ago
Topics: auc, behavior-analysis, behavior-driven-development, pca, rfm-analysis, rmf, user-behavior-analytics, xgboost-classifier, xgboost-model, xgboost-regression
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