Evaluating the effect of voting methods on ensemble-based classification.
Florin LeonSabina-Adriana FloriaCostin BadicaPublished in: INISTA (2017)
Keyphrases
- voting methods
- pattern recognition
- training set
- classification accuracy
- feature selection
- feature extraction
- neural network
- decision rules
- decision trees
- individual classifiers
- feature vectors
- majority voting
- classifier ensemble
- supervised learning
- text classification
- benchmark datasets
- machine learning algorithms
- support vector machine svm
- training samples
- semi supervised
- class labels
- ensemble methods
- classification models
- knn
- support vector
- machine learning