Hybrid Biogeography Based Simultaneous Feature Selection and Prediction of N-Myristoylation Substrate Proteins Using Support Vector Machines and Random Forest Classifiers.
Shameek GhoshNayana RamachandranC. VenkateshwariVaidyanathan K. JayaramanPublished in: SEMCCO (2012)
Keyphrases
- random forest
- ensemble classifier
- feature set
- feature selection
- fold cross validation
- feature ranking
- rotation forest
- decision trees
- feature reduction
- ensemble learning
- selected features
- random forests
- ensemble methods
- cancer classification
- prediction accuracy
- classification models
- feature extraction
- feature space
- base classifiers
- support vector
- naive bayes
- feature selection algorithms
- feature subset
- classification accuracy
- text classification
- imbalanced data
- decision tree learning algorithms
- multi class
- protein sequences
- support vector machine
- bayesian networks
- feature importance
- class labels
- support vector machine svm
- data mining
- classifier ensemble
- svm classifier