Tailoring Random Forest for Requirements Classification.
Andreas A. FalknerGottfried SchennerAlexander SchörghuberPublished in: ISMIS (2020)
Keyphrases
- random forest
- decision trees
- feature set
- fold cross validation
- random forests
- cancer classification
- machine learning
- image classification
- decision tree learning algorithms
- feature extraction
- classification accuracy
- training set
- feature selection
- support vector machine
- feature importance
- unsupervised learning
- feature ranking
- ensemble classifier
- data sets
- class labels
- classification algorithm
- machine learning methods
- ensemble methods
- classification models
- feature vectors
- multi label
- small number
- benchmark datasets
- support vector machine svm
- text classification
- higher order
- supervised learning