A Study of Accounting Teaching Feature Selection and Importance Assessment Based on Random Forest Algorithm

被引:0
|
作者
Hu, Jing [1 ]
机构
[1] Department of Management Engineering, Anhui Industry Polytechnic, Tongling, Anhui,244000, China
关键词
Adversarial machine learning - Data accuracy - Prediction models - Random forests;
D O I
10.2478/amns-2024-2540
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] TEHRAN AIR POLLUTANTS PREDICTION BASED ON RANDOM FOREST FEATURE SELECTION METHOD
    Shamsoddini, A.
    Aboodi, M. R.
    Karami, J.
    ISPRS INTERNATIONAL JOINT CONFERENCES OF THE 2ND GEOSPATIAL INFORMATION RESEARCH (GI RESEARCH 2017); THE 4TH SENSORS AND MODELS IN PHOTOGRAMMETRY AND REMOTE SENSING (SMPR 2017); THE 6TH EARTH OBSERVATION OF ENVIRONMENTAL CHANGES (EOEC 2017), 2017, 42-4 (W4): : 483 - 488
  • [42] Random Forest Based Feature Selection for Partial Discharge Recognition of HV Cables
    Wang G.
    Li J.
    Wu Y.
    Peng X.
    Li L.
    Liu T.
    Dianwang Jishu/Power System Technology, 2019, 43 (04): : 1329 - 1335
  • [43] Feature Selection Based on Random Forest and Application in Correlation Analysis of Symptom and Disease
    Hu Xue-qin
    Cui Meng
    Chen Bing
    2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS, 2009, : 120 - +
  • [44] Feature selection and classification of leukocytes using random forest
    Saraswat, Mukesh
    Arya, K. V.
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2014, 52 (12) : 1041 - 1052
  • [45] Random Forest Feature Selection Approach for Image Segmentation
    Lefkovits, Laszlo
    Lefkovits, Szidonia
    Emerich, Simina
    Vaida, Mircea Florin
    NINTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2016), 2017, 10341
  • [46] Random Forest Feature Selection for SAR-ATR
    Bolourchi, Pouya
    Moradi, Masoud
    Demirel, Hasan
    Uysal, Sener
    2018 UKSIM-AMSS 20TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM), 2018, : 90 - 95
  • [47] Feature selection and classification of leukocytes using random forest
    Mukesh Saraswat
    K. V. Arya
    Medical & Biological Engineering & Computing, 2014, 52 : 1041 - 1052
  • [48] Random forest feature selection for partial label learning
    Sun, Xianran
    Chai, Jing
    NEUROCOMPUTING, 2023, 561
  • [49] Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier
    Fei, Hao
    Fan, Zehua
    Wang, Chengkun
    Zhang, Nannan
    Wang, Tao
    Chen, Rengu
    Bai, Tiecheng
    REMOTE SENSING, 2022, 14 (04)
  • [50] A Permutation Importance-Based Feature Selection Method for Short-Term Electricity Load Forecasting Using Random Forest
    Huang, Nantian
    Lu, Guobo
    Xu, Dianguo
    ENERGIES, 2016, 9 (10)