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Feature Sorting Algorithm Based on XGBoost and MIC Combination Model

Gao Xiang

Gao Xiang

School of Computer Science and Engineering, Xi’an Technological UniversityXi’an, China
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Xiang, Gao
, 
Yu Jun

Yu Jun

School of Computer Science and Engineering, Xi’an Technological UniversityXi’an, China
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Jun, Yu
, 
Hu Zhiyi

Hu Zhiyi

Engineering Design Institute, Army Research LoboratoryBeijing, China
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Zhiyi, Hu
 et 
Hu Yuzhe

Hu Yuzhe

Jinan University-University of Birmingham Joint Institute, Jinan UniversityGuangzhou, China
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Yuzhe, Hu
  
21 mai 2023
Feature Sorting Algorithm Based on XGBoost and MIC Combination Model's Cover Image
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Publié en ligne: 21 mai 2023
Pages: 79 - 88
DOI: https://doi.org/10.21307/ijanmc-2021-037
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© 2021 Gao Xiang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

Building decision tree
Building decision tree

Figure 2

XGBoost algorithm flow
XGBoost algorithm flow

Figure 3

Experimental flow chart
Experimental flow chart

Figure 4

Order of feature importance
Order of feature importance

Comparsion of R2 and RMSE values between XGBoost-MIC conbined model and single model_

Method R2 RMSE
composite pattern 0.759 8.705
XGBoost model 0.723 9.453
MIC model 0.689 8.994
Langue:
Anglais
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Informatique, Informatique, autres
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