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Realestate-02-00012 2025 Machine Learning Algorithms and Explainable Artificial Intelligence For Property Valuation by ciobanuuk is a document available to read on EtoBox.

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This paper discusses the use of machine learning algorithms, specifically k-Nearest Neighbors, Random Forest, and Artificial Neural Networks, for property valuation in Salerno, Italy, addressing challenges like overfitting and model interpretability. The Random Forest model was found to provide the best balance between predictive accuracy and transparency, with key factors influencing property prices identified as area and proximity to transportation. The study emphasizes the importance of integrating expla

Author
ciobanuuk
Language
EN