Abstract :
This paper present an experimental study of the different classifiers namely Naïve Bayes NB and NB Tree for classification of radar returns from Ionosphere dataset. Correlation based Feature Subset Selection CFS is also used for attribute selection. The purpose is to achieve the efficient result for classification. The comparison of NB classifier and NB Tree is done based on Ionosphere dataset from UCI machine learning repository. NB Tree classifier with CFS gives better accuracy for classification of radar returns from ionosphere. Aung Nway Oo "Classification of Radar Returns from Ionosphere Using NB-Tree and CFS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: https://www.ijtsrd.com/papers/ijtsrd17126.pdf Paper URL: http://www.ijtsrd.com/computer-science/data-miining/17126/classification-of-radar-returns-from-ionosphere-using-nb-tree-and-cfs/aung-nway-oo
Keyword :
classification, feature selection, NB, NB-Tree, CFS