Improving binary classification of web pages using an ensemble of feature selection algorithms.
Vladimir Estivill-CastroMatteo LombardiAlessandro MaraniPublished in: ACSW (2018)
Keyphrases
- binary classification
- feature selection algorithms
- ensemble methods
- feature selection
- feature subset
- multi class
- support vector
- support vector machine
- cost sensitive
- learning problems
- feature ranking
- base classifiers
- ensemble learning
- prediction accuracy
- multi label
- generalization error
- class imbalance
- benchmark datasets
- classification accuracy
- data sets
- text categorization
- feature set
- selection algorithm
- learning models
- decision trees
- loss function
- feature space
- machine learning
- genetic algorithm ga
- naive bayes
- markov random field
- higher order
- training set
- feature extraction