Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering.
Gopi Krishnan RajbahadurShaowei WangYasutaka KameiAhmed E. HassanPublished in: IEEE Trans. Software Eng. (2021)
Keyphrases
- software engineering
- machine learning
- independent variables
- dependent variables
- machine learning algorithms
- decision trees
- machine learning methods
- significant predictors
- artificial intelligence
- feature selection
- interaction effects
- support vector
- statistical tests
- regression analysis
- training data
- software development
- naive bayes
- naive bayes classifier
- learning algorithm
- statistically significant
- text classification
- reinforcement learning
- regression model
- learning systems
- development process
- learning tasks
- supervised learning
- college students
- support vector machine
- measurement error
- computer science
- data mining