Comments on "Researcher bias: The use of machine learning in software defect prediction".
Chakkrit TantithamthavornShane McIntoshAhmed E. HassanKen-ichi MatsumotoPublished in: PeerJ Prepr. (2016)
Keyphrases
- software defect prediction
- machine learning
- sample selection bias
- ensemble learning
- feature ranking
- inductive bias
- imbalanced data
- feature selection
- learning algorithm
- pattern recognition
- class imbalance
- text mining
- machine learning methods
- decision trees
- active learning
- support vector machine
- supervised learning
- data mining
- inductive learning
- model selection
- text classification
- random forest
- learning tasks
- semi supervised learning
- data sets
- neural network