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
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article

DMP Predicting House Sale Prices Using Machine Learning

Zenodo (CERN European Organization for Nuclear Research)
Housing Market and Economics
article

DMP Predicting House Sale Prices Using Machine Learning

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 44%
Housing Market and Economics
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DMP Predicting House Sale Prices Using Machine Learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS