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About Machine Learning, Architectural Styles and Property Values
This document summarizes a working paper that examines the relationship between architectural style and property values using machine learning techniques. The paper introduces an algorithm that scrapes housing photos and classifies homes by architectural style, incorporating spatial dependencies. Comparisons of machine and expert human classifications illustrate ways to mitigate biases in image-based machine learning. The paper finds that architectural style is an important determinant of housing sales price, and these effects may depend on neighborhood aesthetics and be less pronounced for new construction.
Detailed Information
| Author: | ['Pol'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 33 |
| Language: | English |
| Format: | |
| Price: | FREE |
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