goldteaa/donor-retention-prediction

R machine learning project predicting donor retention using logistic regression, trees, random forest, and XGBoost

/ 100

Experimental

No Package No Dependents

Maintenance 13 / 25

Adoption 0 / 25

Maturity 9 / 25

Community 0 / 25

Stars

—

Forks

—

Language

HTML

License

MIT

Category

Last pushed

Mar 13, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/goldteaa/donor-retention-prediction"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

retentioneering/retentioneering-tools

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web...

iterative/demo-bank-customer-churn

Demo DVC project training a classification model on tabular data

junfengn-ctrl/uplift-modeling-customer-retention

End-to-end uplift modeling pipeline for customer retention using T-Learner and X-Learner with...

Pradnya1208/Telecom-Customer-Churn-prediction

Customers in the telecom industry can choose from a variety of service providers and actively...

gattsu001/Telecom-Churn-Predictor

Predicts which telecom customers are likely to churn with 95% accuracy using engineered features...