Evaluation of the Classifiers in Multiparameter and Imbalanced Data Sets

被引：0
|
作者：
Piotrowska, Ewelina [1 ]
机构：
[1] Opole Univ Technol, Proszkowska 76 St, PL-45758 Opole, Poland
来源：
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2019, PT II | 2020年 / 1051卷
关键词：
Imbalanced data; Optimization methods; Classification;
D O I：
10.1007/978-3-030-30604-5_24
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper discusses the basic problems resulting from the classification of imbalanced data, which are additionally described by a large number of parameters. The paper also presents various optimization methods, including the use of a synthetic indicator that is the product of specificity and the power of sensitivity, which was proposed by the author.
引用
收藏
页码：263 / 273
页数：11
相关论文
共 50 条
  • [21] DYNAMIC SELECTION OF CLASSIFIERS FOR FUSING IMBALANCED HETEROGENEOUS DATA
    Sukhanov, S.
    Debes, C.
    Zoubir, A. M.
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 5361 - 5365
  • [22] Machine-learning classifiers for imbalanced tornado data
    Trafalis T.B.
    Adrianto I.
    Richman M.B.
    Lakshmivarahan S.
    Computational Management Science, 2014, 11 (4) : 403 - 418
  • [23] Constructing classifiers for imbalanced data using diversity optimisation
    Khorshidi, Hadi A.
    Aickelin, Uwe
    INFORMATION SCIENCES, 2021, 565 : 1 - 16
  • [24] Adaptive ensemble of classifiers with regularization for imbalanced data classification
    Wang, Chen
    Deng, Chengyuan
    Yu, Zhoulu
    Hui, Dafeng
    Gong, Xiaofeng
    Luo, Ruisen
    INFORMATION FUSION, 2021, 69 : 81 - 102
  • [25] Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems
    Khuat T.T.
    Le M.H.
    SN Computer Science, 2020, 1 (2)
  • [26] Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity
    Sankalp Jain
    Eleni Kotsampasakou
    Gerhard F. Ecker
    Journal of Computer-Aided Molecular Design, 2018, 32 : 583 - 590
  • [27] Comparing the performance of meta-classifiers-a case study on selected imbalanced data sets relevant for prediction of liver toxicity
    Jain, Sankalp
    Kotsampasakou, Eleni
    Ecker, Gerhard F.
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2018, 32 (05) : 583 - 590
  • [28] Classification with local clustering in imbalanced data sets
    Ji, Hua
    Zhang, Huaxiang
    ADVANCED RESEARCH ON INFORMATION SCIENCE, AUTOMATION AND MATERIAL SYSTEM, PTS 1-6, 2011, 219-220 : 151 - 155
  • [29] A Supervised Learning Approach for Imbalanced Data Sets
    Nguyen, Giang H.
    Bouzerdoum, Abdesselam
    Phung, Son L.
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 3759 - 3762
  • [30] On Validation Setup for Multiclass Imbalanced Data Sets
    Silva, Evandro J. R.
    Zanchettin, Cleber
    PROCEEDINGS OF 2016 5TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS 2016), 2016, : 468 - 473
12345