Prediction or interpretability?

被引:10
|
作者
Nembrini, Stefano [1 ]
机构
[1] Univ Florida, Emerging Pathogens Inst, Coll Med, Dept Pathol Immunol & Lab Med, POB 100009, Gainesville, FL 32610 USA
来源
EMERGING THEMES IN EPIDEMIOLOGY | 2019年 / 16卷 / 1期
关键词
D O I
10.1186/s12982-019-0086-1
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The journal published a review of the literature on recursive partition in epidemiological research comparing two decision tree methods: classification and regression trees (CARTs) and conditional inference trees (CITs). There are two sources of potential confusion in the paper for readers: one lies in the definition and the comparison of CITs and CARTs, while the other is more general and it refers to the use of hyper-parameters and their tuning through resampling techniques.
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Feature Selection Techniques. Churn Prediction in the Telecom Industry: A Quest for Interpretability
    Dumitrache, Andreea
    Nastu, Alexandra A. M.
    Stancu, Stelian
    VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE, 2019, : 3036 - 3045
  • [42] Enhancing the interpretability of transcription factor binding site prediction using attention mechanism
    Park, Sungjoon
    Koh, Yookyung
    Jeon, Hwisang
    Kim, Hyunjae
    Yeo, Yoonsun
    Kang, Jaewoo
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [43] Fusing XGBoost and SHAP Models for Maritime Accident Prediction and Causality Interpretability Analysis
    Zhang, Cheng
    Zou, Xiong
    Lin, Chuan
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (08)
  • [44] Enhancing Interpretability in Molecular Property Prediction with Contextual Explanations of Molecular Graphical Depictions
    Bertolini, Marco
    Zhao, Linlin
    Montanari, Floriane
    Clevert, Djork-Arne
    AI IN DRUG DISCOVERY, AIDD 2024, 2025, 14894 : 1 - 12
  • [45] Balancing the trade-off between accuracy and interpretability in software defect prediction
    Mori, Toshiki
    Uchihira, Naoshi
    EMPIRICAL SOFTWARE ENGINEERING, 2019, 24 (02) : 779 - 825
  • [46] Analysis of intrinsic factors in accurate wave height prediction based on model interpretability
    Luo, Qinrui
    Xu, Hang
    OCEAN ENGINEERING, 2024, 309
  • [47] AN INTERPRETABILITY APPROACH FOR MORTALITY RISK PREDICTION BASED ON W-BDA AND MLP
    Zhang, Guanghua
    Zhang, Huimin
    Fang, Mingxing
    Zhang, Qi
    Ding, Renshuang
    UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science, 2023, 85 (01): : 245 - 260
  • [48] Vineyard Leaf Disease Prediction: Bridging the Gap Between Predictive Accuracy and Interpretability
    Mobeen, Noor E.
    Shaikh, Sarang
    Nweke, Livinus Obiora
    Abomhara, Mohamed
    Yayilgan, Sule Yildirim
    Fahad, Muhammad
    NEW TRENDS IN DISRUPTIVE TECHNOLOGIES, TECH ETHICS, AND ARTIFICIAL INTELLIGENCE, DITTET 2024, 2024, 1459 : 97 - 108
  • [49] An AI-Enabled Framework for Transparency and Interpretability in Cardiovascular Disease Risk Prediction
    Kiran, Isha
    Ali, Shahzad
    Khan, Sajawal ur Rehman
    Alhussein, Musaed
    Aslam, Sheraz
    Aurangzeb, Khursheed
    CMC-COMPUTERS MATERIALS & CONTINUA, 2025, 82 (03): : 5057 - 5078
  • [50] Prediction of bank credit customers churn based on machine learning and interpretability analysis
    Li, Ying
    Yan, Keyue
    DATA SCIENCE IN FINANCE AND ECONOMICS, 2025, 5 (01):