A Data Feature Extraction Method Based on the NOTEARS Causal Inference Algorithm

A Data Feature Extraction Method Based on the NOTEARS Causal Inference Algorithm

Extracting effective features from high-dimensional datasets is crucial for determining the accuracy of regression and classification models. Model predictions based on causality are known for their robustness. Thus, this paper introduces causality into feature selection and utilizes Feature Selecti...

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Bibliographic Details
Main Authors:	Hairui Wang, Junming Li, Guifu Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Applied Sciences
Subjects:	causal inference relevance feature extraction compare
Online Access:	https://www.mdpi.com/2076-3417/13/14/8438

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