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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Science and Technology Research Institute for Defence
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/86570/ |
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