Do we need hundreds of classifiers or a good feature selection?
Laura Morán-FernándezVerónica Bolón-CanedoAmparo Alonso-BetanzosPublished in: ESANN (2020)
Keyphrases
- feature selection
- feature set
- support vector
- feature selection algorithms
- feature subset
- naive bayes
- mutual information
- bayes classifier
- classification models
- classification accuracy
- feature ranking
- small sample
- text categorization
- higher classification accuracy
- ensemble classifier
- input features
- ensemble learning
- multi class
- linear discriminant
- machine learning
- feature reduction
- fold cross validation
- selected features
- irrelevant attributes
- optimal subset of features
- meta learning
- feature selection and classifier
- support vector machine
- classification algorithm
- feature extraction
- linear classifiers
- classification performances
- training set
- svm classifier
- irrelevant features
- dimensionality reduction
- classification rate
- decision trees
- training data
- classifier combination
- accurate classification
- model selection
- instance selection
- bayesian classifier
- information gain
- test set
- feature weighting
- classification method
- high dimensionality
- multi task
- data sets