Performance comparison of machine learning classifiers on aircraft databases
The aim of this research is to analyse the performance of six different classifiers, which are κ-Nearest Neighbours (kNN), Naive Bayes, Random Tree, J48 Decision Tree, Random Forest Tree and Sequential Minimal Optimisation (SMO), using aircraft databases and optimize their cost parameter for better...
Saved in:
| Main Authors: | , , , , |
|---|---|
| 格式: | Article |
| 出版: |
Science and Technology Research Institute for Defence
2018
|
| 主题: | |
| 在线阅读: | http://eprints.utm.my/id/eprint/86570/ |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|