NLPIR-UNED at CheckThat!-2023: Ensemble of Classifiers for Check-Worthiness Estimation.
Juan R. Martinez-RicoLourdes AraujoJuan Martínez-RomoPublished in: CLEF (Working Notes) (2023)
Keyphrases
- ensemble learning
- ensemble classifier
- multiple classifiers
- training data
- classifier ensemble
- training set
- ensemble pruning
- ensemble methods
- majority voting
- class label noise
- combining classifiers
- mining concept drifting data streams
- final classification
- weighted voting
- accurate classifiers
- decision tree classifiers
- weak classifiers
- support vector
- individual classifiers
- training samples
- random forests
- randomized trees
- base classifiers
- machine learning methods
- concept drifting data streams
- feature selection
- ensemble members
- multiple classifier systems
- ensemble classification
- machine learning
- one class support vector machines
- neural network
- decision trees
- test set
- learning algorithm
- rule induction algorithm
- training examples
- diversity measures
- majority vote
- linear classifiers
- classification systems
- random forest
- classification algorithm
- binary classification problems
- combining multiple
- naive bayes
- feature set
- bias variance decomposition
- pruning method
- fusion methods
- feature ranking