Feature Selection with Decision Tree Criterion.
Krzysztof GrabczewskiNorbert JankowskiPublished in: HIS (2005)
Keyphrases
- dimensionality reduction
- feature selection
- decision trees
- information gain
- class separability
- naive bayes
- classification models
- machine learning
- high dimensionality
- attribute selection
- feature extraction
- text classification
- feature space
- text categorization
- bayes classifier
- classification accuracy
- unsupervised learning
- feature construction
- predictive accuracy
- mutual information
- decision tree algorithm
- feature selection algorithms
- selection criterion
- feature set
- meta learning
- selected features
- decision tree induction
- random forest
- machine learning algorithms
- support vector machine
- multi class
- selecting relevant features
- multivariate decision trees
- microarray data
- tree construction
- logistic regression
- high dimensional
- feature subset
- decision tree learning
- support vector
- feature ranking
- supervised feature selection
- decision tree algorithms
- decision tree classifiers
- method for feature selection
- unsupervised feature selection
- irrelevant features
- optimization criterion
- knn
- model selection
- small sample
- bayesian classifier
- classification rules
- decision table
- multi task