Unveiling hidden biases in machine learning feature importance

被引:1
|
作者
Takefuji, Yoshiyasu [1 ]
机构
[1] Musashino Univ, Fac Data Sci, 3-3-3 Ariake,Koto Ku, Tokyo 1358181, Japan
来源
关键词
Machine learning; Feature importance; Potential bias; Chi-squared and P-value;
D O I
10.1016/j.jechem.2024.10.032
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
引用
收藏
页码:49 / 51
页数:3
相关论文
共 50 条
  • [31] Unveiling the robustness of machine learning families
    Fabra-Boluda, R.
    Ferri, C.
    Ramirez-Quintana, M. J.
    Martinez-Plumed, F.
    MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2024, 5 (03):
  • [32] Not all biases are bad: equitable and inequitable biases in machine learning and radiology
    Pot, Mirjam
    Kieusseyan, Nathalie
    Prainsack, Barbara
    INSIGHTS INTO IMAGING, 2021, 12 (01)
  • [33] Not all biases are bad: equitable and inequitable biases in machine learning and radiology
    Mirjam Pot
    Nathalie Kieusseyan
    Barbara Prainsack
    Insights into Imaging, 12
  • [34] Extreme Learning Machine Combining Hidden-Layer Feature Weighting and Batch Training for Classification
    Chao Wu
    Yu Sang
    Yakun Gao
    Neural Processing Letters, 2023, 55 : 10951 - 10973
  • [35] Extreme Learning Machine Combining Hidden-Layer Feature Weighting and Batch Training for Classification
    Wu, Chao
    Sang, Yu
    Gao, Yakun
    NEURAL PROCESSING LETTERS, 2023, 55 (08) : 10951 - 10973
  • [36] Mining hidden data to predict patient prognosis: texture feature extraction and machine learning in mammography
    Leighs, J. A.
    Halling-Brown, M. D.
    Patel, M. N.
    MEDICAL IMAGING 2018: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, 2018, 10579
  • [37] The embedded biases in hypothesis testing and machine learning
    Habboub, Ghaith
    Grabowski, Matthew M.
    Kelly, Michael L.
    Benzel, Edward C.
    NEUROSURGICAL FOCUS, 2020, 48 (05)
  • [38] Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning
    Tamal, Maruf A.
    Islam, Md K.
    Bhuiyan, Touhid
    Sattar, Abdus
    Prince, Nayem Uddin
    FRONTIERS IN COMPUTER SCIENCE, 2024, 6
  • [39] Statistical interpretation of machine learning-based feature importance scores for biomarker discovery
    Van Anh Huynh-Thu
    Saeys, Yvan
    Wehenkel, Louis
    Geurts, Pierre
    BIOINFORMATICS, 2012, 28 (13) : 1766 - 1774
  • [40] Feature Importance Genes from Breast Cancer Subtypes Classification Employing Machine Learning
    Bhowmick, S. S.
    Bhattacharjee, D.
    RUSSIAN JOURNAL OF GENETICS, 2023, 59 (SUPPL 1) : 110 - 122