Predicting Disease Risks Using Feature Selection Based on Random Forest and Support Vector Machine.
Jing YangDengju YaoXiaojuan ZhanXiaorong ZhanPublished in: ISBRA (2014)
Keyphrases
- random forest
- feature selection
- support vector machine
- feature set
- selected features
- feature reduction
- fold cross validation
- random forests
- ensemble classifier
- decision trees
- multi class
- svm classifier
- text categorization
- cancer classification
- multi label
- support vector
- feature ranking
- classification accuracy
- feature space
- feature vectors
- ensemble methods
- support vector machine svm
- small sample
- machine learning
- k nearest neighbor
- feature selection algorithms
- feature importance
- ensemble learning
- training data
- training set
- kernel function
- dimensionality reduction
- text classification
- feature extraction
- gene expression data
- knn
- classification algorithm
- naive bayes
- generalization ability
- base classifiers
- class labels
- classification method
- active learning
- high dimensional
- classification models
- feature subspace
- image segmentation