Using Decision Trees, Logistic Regression and Random Forest to Predict Poverty Risk in Thailand

被引:0
|
作者
Meenorngwar, Chai [1 ]
机构
[1] Valaya Alongkorn Rajabhat University under the Royal Patronage, Department of Information Technology, Pathum Thani, Thailand
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Adversarial machine learning - Support vector regression - Sustainable development goals
引用
收藏
相关论文
共 50 条
  • [41] Socioeconomic and environmental factors of poverty in China using geographically weighted random forest regression model
    Yaowen Luo
    Jianguo Yan
    Stephen C. McClure
    Fei Li
    Environmental Science and Pollution Research, 2022, 29 : 33205 - 33217
  • [42] Using Decision Trees and Random Forest Algorithms to Predict and Determine Factors Contributing to First-Year University Students' Learning Performance
    Thao-Trang Huynh-Cam
    Chen, Long-Sheng
    Huynh Le
    ALGORITHMS, 2021, 14 (11)
  • [43] MODELLING SMALL-BUSINESS CREDIT SCORING BY USING LOGISTIC REGRESSION, NEURAL NETWORKS AND DECISION TREES
    Bensic, Mirta
    Sarlija, Natasa
    Zekic-Susac, Marijana
    INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT, 2005, 13 (03): : 133 - 150
  • [44] Predicting post-IPO financial performance: a hybrid approach using logistic regression and decision trees
    Supsermpol, Pornpawee
    Huynh, Van Nam
    Thajchayapong, Suttipong
    Suppakitjarak, Nathridee
    Chiadamrong, Navee
    JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES, 2025, 32 (01): : 52 - 65
  • [45] Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models
    Chen, Wei
    Li, Yang
    Tsangaratos, Paraskevas
    Shahabi, Himan
    Ilia, Ioanna
    Xue, Weifeng
    Bian, Huiyuan
    APPLIED SCIENCES-BASEL, 2020, 10 (02):
  • [46] Modeling Haze Problems in the North of Thailand using Logistic Regression
    Pimpunchat, Busayamas
    Sirimangkhala, Khwansiri
    Junyapoon, Suwannee
    JOURNAL OF MATHEMATICAL AND FUNDAMENTAL SCIENCES, 2014, 46 (02) : 183 - 193
  • [47] Fuzzy Random Forest with C-Fuzzy Decision Trees
    Gadomer, Lukasz
    Sosnowski, Zenon A.
    COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT, CISIM 2016, 2016, 9842 : 481 - 492
  • [48] A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
    Ren, Yingtao
    Zhu, Xiaomin
    Bai, Kaiyuan
    Zhang, Runtong
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 31 (05) : 1729 - 1741
  • [49] Random forest regression to predict design performance of concert halls
    Broyles, Jonathan
    Rusk, Zane T.
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2023, 153 (03):
  • [50] A comparison of two tools for analyzing linguistic data: logistic regression and decision trees
    Eddington, David
    ITALIAN JOURNAL OF LINGUISTICS, 2010, 22 (02): : 265 - 286