DMP Predicting House Sale Prices Using Machine Learning
Data Management Plan for the Housing-Price-Prediction project The original OpenML dataset, containing housing sales records from King County between May 2014 and May 2015, along with the three curated splits (train, validation, and test), is archived in DBRepo (DOIs P1–P4). The final Random Forest, Gradient Boosting, and XGBoost models, together with tuning diagnostics and evaluation reports, are available on GitHub: https://github.com/kusoksaxara/housing-price-prediction.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-28
- DOI
- https://doi.org/10.5281/zenodo.15296984
- Primary Topic
- Housing Market and Economics
- Type
- article
- Field-Weighted Citation Impact
- 0.00