A comparative study of supervised/unsupervised machine learning algorithms with feature selection approaches to predict student performance.
Alaa Khalaf HamoudAli Salah AlasadyWid Akeel AwadhJasim Mohammed DahrMohammed B. M. KamelAqeel Majeed HumadiIhab Ahmed NajmPublished in: Int. J. Data Min. Model. Manag. (2023)
Keyphrases
- machine learning algorithms
- learning algorithm
- machine learning
- feature selection
- benchmark data sets
- input features
- predictive accuracy
- machine learning methods
- decision trees
- unsupervised learning
- supervised learning
- unsupervised feature selection
- machine learning approaches
- unsupervised methods
- standard machine learning algorithms
- learning problems
- semi supervised
- machine learning models
- random forests
- meta learning
- statistical machine learning
- supervised classification
- text categorization
- learning models
- supervised learning algorithms
- learning tasks
- supervised and unsupervised learning
- training data
- data sets
- multiclass classification
- transfer learning
- multi class
- pointwise mutual information
- model selection
- machine learning and data mining algorithms