XGBoost for Imbalanced Data Based on Cost-sensitive Activation Function

XGBoost for Imbalanced Data Based on Cost-sensitive Activation Function

For binary classification with category imbalance,acost-sensitive activation function XGBoost algorithm(CSAF-XGBoost) is proposed to promote the ability of recognizing minority samples.When XGBoost algorithm constructs decision trees,unbalanced data will affect split point selection,which lead to mi...

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Bibliographic Details
Main Author:	LI Jing-tai, WANG Xiao-dan
Format:	Article
Language:	zho
Published:	Editorial office of Computer Science 2022-05-01
Series:	Jisuanji kexue
Subjects:	cost-sensitive\|logistic regression\|data imbalanced classification\|xgboost\|activation function
Online Access:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-5-135.pdf

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