Stacking Classifiers for Early Detection of Students at Risk.
Eitel J. M. LauríaEdward PresuttiMaria KapogiannisAnuya KamathPublished in: CSEDU (1) (2018)
Keyphrases
- early detection
- student learning
- breast cancer
- combining classifiers
- automatic diagnosis
- ensemble learning
- learning environment
- learning experience
- collaborative learning
- high school
- support vector
- lung cancer
- ovarian cancer
- training data
- risk assessment
- multiple classifiers
- risk factors
- decision making
- higher education
- e learning
- risk management
- learning styles
- skin cancer
- feature selection
- machine learning methods
- combining multiple
- machine learning algorithms
- naive bayes
- training set
- early diagnosis
- decision trees
- gastric cancer
- individual classifiers