Classification of Radar Returns from Ionosphere Using NB-Tree and CFS IJTSRD
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 […]
A Survey on Classification of Feature Selection Strategies IJTSRD
Feature selection is an important part of machine learning. The Feature selection refers to the process of reducing the inputs for processing and analysis, or of finding the most meaningful inputs. A related term, feature engineering (or feature extraction), refers to the process of extracting useful information or features from existing data. Mining of particular […]