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...
保存先:
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | 論文 |
| 出版事項: |
Science and Technology Research Institute for Defence
2018
|
| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/86570/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|