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A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression Cover

A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression

Data Science Journal
Volume 22 (2023): Issue 1
By: Yannick Gerstorfer,  Max Hahn-Klimroth and  Lena Krieg  
Open Access
|Nov 2023

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DOI: https://doi.org/10.5334/dsj-2023-042 | Journal eISSN: 1683-1470
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Language: English
Submitted on: May 26, 2023
Accepted on: Sep 27, 2023
Published on: Nov 3, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Data Science,
Explainable Artificial Intelligence,
Feature Importance,
Gram-Schmidt Decorrelation,
Random Forest Regression,
Shapley Value,
Trend Estimation

© 2023 Yannick Gerstorfer, Max Hahn-Klimroth, Lena Krieg, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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