Comparison of random forest, random ferns and support vector machine for eye state classification.
Yanchao DongYan ZhangJiguang YueZhencheng HuPublished in: Multim. Tools Appl. (2016)
Keyphrases
- random forest
- support vector machine
- fold cross validation
- decision trees
- random forests
- feature set
- feature reduction
- ensemble classifier
- svm classifier
- support vector
- classification method
- cancer classification
- classification algorithm
- classification accuracy
- support vector machine svm
- feature vectors
- decision tree learning algorithms
- feature selection
- machine learning
- training set
- multi class
- generalization ability
- ensemble methods
- feature importance
- text classification
- classification models
- cost sensitive
- multi label
- image classification
- machine learning methods
- feature space
- base classifiers
- knn
- logistic regression
- ensemble learning
- feature extraction
- benchmark datasets
- neural network
- decision tree learning algorithm
- genetic algorithm
- majority voting
- classifier ensemble
- decision boundary
- training data
- bayesian networks
- supervised learning
- data points
- feature subset