Imbalanced Data Classification Using Oversampling and Automatic Feature Selection Methods for Undergraduate Student Career Prediction.
Radiah HaqueHui-Ngo GohChoo-Yee TingAlbert QuekMd. Rakibul HasanPublished in: ICEIT (2024)
Keyphrases
- imbalanced data classification
- engineering students
- computer science students
- prediction accuracy
- undergraduate students
- student learning
- learning environment
- computer science curriculum
- feature selection
- programming course
- ensemble learning
- undergraduate engineering
- college level
- class imbalance
- online course
- benchmark datasets
- multi class
- learning process
- feature extraction
- decision trees