Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification.
Daniel Fernando Gómez-BarreraLuccas Rojas BecerraJuan Pinzón RoncancioDavid Ortiz AlmanzaJuan ArboledaMario Linares-VásquezRubén Francisco ManriquePublished in: NLBSE@ICSE (2024)
Keyphrases
- classification models
- pattern recognition
- decision trees
- model selection
- classification accuracy
- machine learning methods
- text classification
- classification method
- machine learning algorithms
- unsupervised learning
- supervised learning
- feature extraction
- classification systems
- pattern classification
- statistical models
- support vector
- training data
- case study
- text categorization
- computational models
- statistical model
- image classification
- complex systems
- support vector machine svm
- machine learning
- probabilistic model
- active learning
- feature space
- preprocessing
- website
- feature selection