Feature selection algorithm ensembling based on meta-learning.
Igor TanfilevAndrey FilchenkovIvan SmetannikovPublished in: CISP-BMEI (2017)
Keyphrases
- meta learning
- feature selection algorithms
- feature selection
- base classifiers
- feature set
- model selection
- inductive learning
- learning tasks
- decision trees
- data sets
- multi class
- naive bayes
- selection algorithm
- classification accuracy
- text classification
- ensemble methods
- machine learning
- text categorization
- feature subset
- training set
- unsupervised learning
- learning models
- data mining
- metamodel
- knowledge acquisition
- feature extraction
- supervised learning
- feature vectors