Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML.
Martijn J. PostPeter van der PuttenJan N. van RijnPublished in: IDA (2016)
Keyphrases
- feature selection
- classification accuracy
- classification models
- feature space
- text classification
- feature extraction
- support vector
- high dimensionality
- machine learning
- pattern recognition
- feature selection and classification
- unsupervised learning
- feature set
- small sample
- automatic classification
- feature selection algorithms
- supervised learning
- support vector machine
- feature vectors
- method for feature selection
- decision trees
- training samples
- feature subset selection
- microarray data
- discriminative features
- feature subset
- real world
- feature reduction
- irrelevant features
- feature ranking
- classification systems
- classification method
- classification scheme
- information gain
- dimension reduction
- text categorization
- training set
- preprocessing
- neural network
- cross validation
- svm classifier
- bayes classifier
- microarray datasets
- semi supervised
- data pre processing
- hierarchical text classification