Predicting protective bacterial antigens using random forest classifiers.
Yasser El-ManzalawyDrena DobbsVasant G. HonavarPublished in: BCB (2012)
Keyphrases
- random forest
- feature set
- decision trees
- rotation forest
- fold cross validation
- ensemble classifier
- ensemble learning
- random forests
- ensemble methods
- feature ranking
- naive bayes
- feature selection
- classification accuracy
- multi label
- base classifiers
- feature importance
- machine learning algorithms
- majority voting
- svm classifier
- classification models
- machine learning
- multiple classifier systems
- feature space
- cancer classification
- classifier combination
- individual classifiers
- decision tree learning algorithms
- support vector
- training data
- feature extraction
- genetic algorithm
- machine learning methods
- logistic regression
- prediction accuracy
- training examples
- pairwise
- training set