JITBoost: Boosting Just-In-Time Defect Prediction using Boolean Combination of Classifiers.
Mohammed A. ShehabAbdelwahab Hamou-LhadjVenkata Sai GundaPublished in: QRS (2023)
Keyphrases
- multiple classifier systems
- defect prediction
- weak classifiers
- ensemble learning
- combining classifiers
- combining multiple
- weak learners
- boosting algorithms
- feature selection
- randomized trees
- boosting framework
- accurate classifiers
- classification decisions
- ensemble classifier
- majority voting
- classifier combination
- decision stumps
- decision trees
- boosted classifiers
- adaboost algorithm
- improving classification accuracy
- training data
- multiclass classification
- binary classification problems
- linear classifiers
- discriminative classifiers
- artificial intelligence
- training samples
- support vector
- training set
- multi class
- feature set
- base classifiers
- boolean functions
- ensemble methods
- face detection