Influence of Relief Feature Selection on Random Forest and Support Vector Machine Classification Algorithm.
Iustisia Natalia SimbolonRomual NaibahoPublished in: IWBIS (2022)
Keyphrases
- classification algorithm
- random forest
- support vector machine
- feature selection
- feature set
- fold cross validation
- random forests
- selected features
- multi class
- decision trees
- k nearest neighbor
- feature ranking
- feature reduction
- support vector
- feature space
- naive bayes
- accurate classification
- feature vectors
- knn
- svm classifier
- text categorization
- machine learning
- support vector machine svm
- ensemble learning
- classification method
- classification accuracy
- class labels
- multi label
- ensemble classifier
- feature subset
- ensemble methods
- dimensionality reduction
- base classifiers
- training set
- concept drift
- text classification
- kernel function
- feature selection algorithms
- feature extraction
- generalization ability
- classification models
- classifier ensemble
- training data
- face recognition
- image processing
- active learning