A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction.
Ch Muhammad AwaisWei GuGcinizwe DlaminiZamira KholmatovaGiancarlo SucciPublished in: ISDA (3) (2022)
Keyphrases
- random forest
- naive bayes
- decision trees
- decision tree learning algorithms
- base classifiers
- ensemble learning
- random forests
- logistic regression
- classification accuracy
- text classification
- feature ranking
- feature set
- ensemble methods
- classification algorithm
- text categorization
- fold cross validation
- feature selection
- cost sensitive
- ensemble classifier
- machine learning algorithms
- machine learning
- training data
- multi label
- bayesian networks
- image processing
- training set
- misclassification costs
- imbalanced data
- classification models
- face recognition
- classification error
- benchmark datasets
- prediction accuracy