Improving the Performance of Naïve Bayes Algorithm by Reducing the Attributes of Dataset Using Gain Ratio and Adaboost-Reference-Cited by-同舟云学术

Improving the Performance of Naïve Bayes Algorithm by Reducing the Attributes of Dataset Using Gain Ratio and Adaboost

Published:2021-11-16 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computer Science and Engineering (IC2SE)
language:
Short-container-title:

Author:

Ramadhani Fanny¹,Al-Khowarizmi ¹,Sari Indah Purnama¹

Affiliation:

1. Universitas Muhammadiyah Sumatera Utara,Department of Information Technology,Medan,Indonesia

Publisher

IEEE

Link

Reference24 articles.

3. Research of Machine Learning Algorithms Using K-Fold Cross Validation;darapureddy;International Journal of Engineering and Advanced Technology (IJEAT),2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Leukocoria Identification: A 5-Fold Cross Validation CNN and Adaboost Hybrid Approach;2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2023-12-11

3. Implementation of Fuzzy K-Nearest Neighbor Method in Dengue Disease Classification;2023 11th International Conference on Cyber and IT Service Management (CITSM);2023-11-10