Classification of Radar Returns from Ionosphere Using NB-Tree and CFS

Aung Nway Oo
2018 International Journal of Trend in Scientific Research and Development  
This paper present an experimental 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 efficie classification. The comparison of NB classifier and NB-Tree is done based on Ionosphere dataset from UCI machine learning repository. NBwith CFS gives better accuracy for classification of radar returns from ionosphere.
doi:10.31142/ijtsrd17126 fatcat:sr23kfgqazgcrclcnevdotaz5q