Predicting Student Employability Through the Internship Context Using Gradient Boosting Models

被引:0
|
作者
Saidani, Oumaima [1 ]
Menzli, Leila Jamel [1 ]
Ksibi, Amel [1 ]
Alturki, Nazik [1 ]
Alluhaidan, Ala Saleh [1 ]
机构
[1] Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh,11671, Saudi Arabia
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:46472 / 46489
相关论文
共 50 条
  • [41] PhosBoost: Improved phosphorylation prediction recall using gradient boosting and protein language models
    Poretsky, Elly
    Andorf, Carson M.
    Sen, Taner Z.
    PLANT DIRECT, 2023, 7 (12)
  • [42] Click through Rate Effectiveness Prediction on Mobile Ads Using Extreme Gradient Boosting
    Moneera, AlAli
    Maram, AlQahtani
    Azizah, AlJuried
    AlOnizan, Taghareed
    Alboqaytah, Dalia
    Aslam, Nida
    Khan, Irfan Ullah
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 66 (02): : 1681 - 1696
  • [43] Predicting the compressive strength of concrete from its compositions and age using the extreme gradient boosting method
    Tuan Nguyen-Sy
    Wakim, Jad
    Quy-Dong To
    Minh-Ngoc Vu
    The-Duong Nguyen
    Thoi-Trung Nguyen
    CONSTRUCTION AND BUILDING MATERIALS, 2020, 260
  • [44] Predicting quorum sensing peptides using stacked generalization ensemble with gradient boosting based feature selection
    Sivaramakrishnan, Muthusaravanan
    Suresh, Rahul
    Ponraj, Kannapiran
    JOURNAL OF MICROBIOLOGY, 2022, 60 (07) : 756 - 765
  • [45] Predicting traffic crash severity using hybrid of balanced bagging classification and light gradient boosting machine
    Niyogisubizo, Jovial
    Liao, Lyuchao
    Zou, Fumin
    Han, Guangjie
    Nziyumva, Eric
    Li, Ben
    Lin, Yuyuan
    INTELLIGENT DATA ANALYSIS, 2023, 27 (01) : 79 - 101
  • [46] Predicting algal biochar yield using eXtreme Gradient Boosting (XGB) algorithm of machine learning methods
    Pathy, Abhijeet
    Meher, Saswat
    Balasubramanian, P.
    ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS, 2020, 50
  • [47] Predicting shared-car use and examining nonlinear effects using gradient boosting regression trees
    Wang, Tao
    Hu, Songhua
    Jiang, Yuan
    INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION, 2021, 15 (12) : 893 - 907
  • [48] Predicting (de-)Escalation of Sub-National Violence Using Gradient Boosting: Does It Work?
    Vestby, Jonas
    Brandsch, Juergen
    Larsen, Vilde Bergstad
    Landsverk, Peder
    Tollefsen, Andreas Foro
    INTERNATIONAL INTERACTIONS, 2022, 48 (04) : 841 - 859
  • [49] Predicting quorum sensing peptides using stacked generalization ensemble with gradient boosting based feature selection
    Muthusaravanan Sivaramakrishnan
    Rahul Suresh
    Kannapiran Ponraj
    Journal of Microbiology, 2022, 60 : 756 - 765
  • [50] Predicting the Gas Storage Capacity in Shale Formations Using the Extreme Gradient Boosting Decision Trees Method
    Wang, Jiaheng
    Li, Nong
    Huo, Xiangyu
    Yang, Mingli
    Zhang, Li
    ENERGY TECHNOLOGY, 2024, 12 (10)