A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets.
Cristóbal RomeroJuan Luis OlmoSebastián VenturaPublished in: EDM (2013)
Keyphrases
- meta learning
- machine learning algorithms
- benchmark datasets
- black box
- decision trees
- data sets
- learning tasks
- feature selection
- white box
- support vector
- machine learning methods
- machine learning
- feature vectors
- open source
- text classification
- collaborative filtering
- learning process
- feature extraction
- learning algorithm
- error rate
- active learning
- pairwise
- base classifiers