JOURNAL ARTICLE

DMP Predicting House Sale Prices Using Machine Learning

Grishan, Aleksandra

Year: 2025 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

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.

Keywords:
Plan (archaeology) Random forest Sales forecasting Gradient boosting

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Topics

Housing Market and Economics
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics
Stock Market Forecasting Methods
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Forecasting Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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