An empirical study of feature selection for classification using genetic algorithm.
Saptarsi GoswamiAmlan ChakrabartiBasabi ChakrabortyPublished in: Int. J. Adv. Intell. Paradigms (2018)
Keyphrases
- feature selection
- genetic algorithm
- classification accuracy
- classification models
- text classification
- support vector
- support vector machine
- feature extraction
- feature space
- machine learning
- high dimensionality
- feature subset
- web page classification
- training set
- feature selection and classification
- knn
- supervised learning
- feature subset selection
- model selection
- classification performances
- feature selection algorithms
- ensemble classifier
- discriminative features
- unsupervised learning
- decision trees
- mutual information
- feature set
- feature vectors
- bayes classifier
- accurate classification
- wrapper feature selection
- class separability
- method for feature selection
- cross validation
- classification method
- preprocessing
- artificial neural networks
- support vector machine svm
- text categorization
- multi objective
- multi class
- learning algorithm
- binary decision tree
- active learning
- unsupervised feature selection
- markov blanket
- image classification
- small sample
- fold cross validation
- naive bayes
- feature weighting
- class labels