Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning.
Majdi M. MafarjaThaer ThaherMohammed Azmi Al-BetarJingwei TooMohammed A. AwadallahIyad Abu DoushHamza TurabiehPublished in: Appl. Intell. (2023)
Keyphrases
- random forest
- ensemble learning
- ensemble classifier
- feature set
- selection scheme
- decision trees
- ensemble methods
- random forests
- feature ranking
- generalization ability
- base classifiers
- classification accuracy
- feature vectors
- machine learning methods
- classification models
- multi label
- support vector machine
- feature selection
- feature subset
- machine learning
- feature space
- benchmark datasets
- pattern recognition
- feature extraction
- class labels
- prediction accuracy
- machine learning algorithms
- training samples
- image classification
- learning algorithm
- support vector machine svm
- model selection
- selection algorithm
- neural network