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
  • [21] Credit Risk Prediction: a comparative study between logistic regression and logistic regression with random effects
    Mestiri, Sami
    Hamdi, Manel
    INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2012, 7 (03) : 200 - 204
  • [22] Evaluation of Random Forest in Crime Prediction: Comparing Three-Layered Random Forest and Logistic Regression
    Oh, Gyeongseok
    Song, Juyoung
    Park, Hyoungah
    Na, Chongmin
    DEVIANT BEHAVIOR, 2022, 43 (09) : 1036 - 1049
  • [23] Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest
    Kiguchi, Mai
    Saeed, Waddah
    Medi, Imran
    APPLIED SOFT COMPUTING, 2022, 118
  • [24] Diabetes Prediction using Decision Tree, Random Forest, Support Vector Machine, K- Nearest Neighbors, Logistic Regression Classifiers
    Peerbasha, S.
    Raja, A. Saleem
    Praveen, K. P.
    Iqbal, Y. Mohammed
    Surputheen, Mohamed
    JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH, 2023, 5 (04): : 42 - 54
  • [25] Soil erosion susceptibility assessment using logistic regression, decision tree and random forest: study on the Mayurakshi river basin of Eastern India
    Ghosh, Abhishek
    Maiti, Ramkrishna
    ENVIRONMENTAL EARTH SCIENCES, 2021, 80 (08)
  • [26] Soil erosion susceptibility assessment using logistic regression, decision tree and random forest: study on the Mayurakshi river basin of Eastern India
    Abhishek Ghosh
    Ramkrishna Maiti
    Environmental Earth Sciences, 2021, 80
  • [27] Prophecy of loan approval by comparing Decision Tree with Logistic Regression, Random Forest, KNN for better Accuracy.
    Aditya, B.
    Nagaraju, V.
    JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS, 2022, 13 : 759 - 768
  • [28] Random feature selection using random subspace logistic regression
    Wichitaksorn, Nuttanan
    Kang, Yingyue
    Zhang, Faqiang
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 217
  • [29] PRISMA: Improving risk estimation with parallel logistic regression trees
    Arnrich, B
    Albert, A
    Walter, J
    FROM DATA AND INFORMATION ANALYSIS TO KNOWLEDGE ENGINEERING, 2006, : 87 - +
  • [30] Heart Disease Prediction Based on Age Detection Using Logistic Regression over Random Forest
    Karthi, C. B. M.
    Kalaivani, A.
    CARDIOMETRY, 2022, (25): : 1731 - 1737