Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

Reanalysis of Classification Algorithms on Different Datasets

Authors
Peng-fei Yue, Qin-ge Wu, Jian-gang Zhu, Wen-fang Cheng, Xiao-liang Qian
Corresponding Author
Peng-fei Yue
Available Online February 2017.
DOI
https://doi.org/10.2991/icmeim-17.2017.23How to use a DOI?
Keywords
Classification, Data Mining, Analysis, Logistic Regression
Abstract
In this paper, we use four classification algorithms like C4.5, naive bayes, logistic regression and K nearest neighbor. It outlines basic principles of classification algorithms and we analysis and summary each algorithm has its advantages, disadvantages through performance comparison on different datasets.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Part of series
Advances in Engineering Research
Publication Date
February 2017
ISBN
978-94-6252-317-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmeim-17.2017.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Peng-fei Yue
AU  - Qin-ge Wu
AU  - Jian-gang Zhu
AU  - Wen-fang Cheng
AU  - Xiao-liang Qian
PY  - 2017/02
DA  - 2017/02
TI  - Reanalysis of Classification Algorithms on Different Datasets
BT  - 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 123
EP  - 126
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.23
DO  - https://doi.org/10.2991/icmeim-17.2017.23
ID  - Yue2017/02
ER  -