Evaluating the Accuracy of Machine Learning Algorithms on Detecting Code Smells for Different Developers.
Mario HozanoNuno AntunesBaldoino FonsecaEvandro CostaPublished in: ICEIS (2) (2017)
Keyphrases
- machine learning algorithms
- predictive accuracy
- benchmark data sets
- source code
- learning algorithm
- machine learning methods
- machine learning
- learning problems
- decision trees
- machine learning approaches
- decision tree learners
- learning tasks
- prediction accuracy
- machine learning models
- random forests
- end users
- input features
- machine learning systems
- open source
- correlation coefficient
- transfer learning
- supervised learning algorithms
- software systems
- linux kernel
- data mining methods
- classification accuracy
- learning models
- supervised learning
- machine learning and data mining algorithms