Research on an Innovative Feature Importance Recognition Algorithm Based on GINI-OOB Index-Reference-Cited by-同舟云学术

Research on an Innovative Feature Importance Recognition Algorithm Based on GINI-OOB Index

Published:2023-08-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA)
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Author:

Chen Jiayi¹,Tan Rui²,Yang Ying³

Affiliation:

1. School of Automation Science and Engineering, South China University of Technology,Guangzhou,China,510620

2. College of Information, Shanghai Ocean University,Shanghai,China,201306

3. College of Information and Intelligence, Hunan Agricultural University,Changsha,China,410125

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256676/10257667/10257830.pdf?arnumber=10257830

Reference17 articles.

1. Measuring Network Systemic Risk Contributions: A Leave-One-Out Approach

2. Significant Wave Height Retrieval Using XGBoost from Polarimetric Gaofen-3 SAR and Feature Importance Analysis;Tianran;Remote Sensing,2022

3. Feature importance measures from random forest regressor using near-infrared spectra for predicting carbonization characteristics of kraft lignin-derived hydrochar

4. Organic solar cells defects classification by using a new feature extraction algorithm and an EBNN with an innovative pruning algorithm

5. Identification of systemically important equity pledged listed companies — the perspective of systemic risk contribution of equity pledge default;Yang;Journal of System Management,2021

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