Reanalysis of Classification Algorithms on Different Datasets

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/icmeim-17.2017.23
ID  - Yue2017/02
ER  -