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CULT Working Paper Series No. 01 (2021)Interpretable Machine Learning for Real Estate
Market AnalysisBYFELIX LORENZ, UNIVERSITY OF REGENSBURG
JONAS WILLERS, UNIVERSITY OF REGENSBURG
MARCELO CAJ IAS,
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What is interpretable machine learning for?
Interpretable machine learning is used to understand how a machine learning model makes predictions in a way that is easy to interpret by humans.
Who is required to file interpretable machine learning for?
Anyone working with machine learning models, especially in domains where transparency and interpretability are important, may benefit from using interpretable machine learning techniques.
How to fill out interpretable machine learning for?
To apply interpretable machine learning, one can use various techniques such as feature importance analysis, SHAP values, LIME, and decision trees.
What information must be reported on interpretable machine learning for?
The information reported should include the features used in the model, their importance, how they influence predictions, and any other relevant details.
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