Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering.
Gopi Krishnan RajbahadurShaowei WangYasutaka KameiAhmed E. HassanPublished in: CoRR (2022)
Keyphrases
- software engineering
- machine learning
- independent variables
- dependent variables
- machine learning algorithms
- machine learning methods
- artificial intelligence
- decision trees
- feature selection
- interaction effects
- regression analysis
- naive bayes classifier
- significant predictors
- software development
- training data
- learning tasks
- learning algorithm
- statistically significant
- training set
- data mining
- naive bayes
- support vector
- undergraduate students
- attitudes toward
- missing data
- software projects
- text classification
- project management
- pedagogical agents
- linear regression
- development process
- model selection
- supervised learning
- support vector machine
- hrm practices