Predicting Student Performance in Online Learning Using a Highly Efficient Gradient Boosting Decision Tree.
Chang WangLiang ChangTieyuan LiuPublished in: Intelligent Information Processing (2022)
Keyphrases
- highly efficient
- online learning
- gradient boosting
- decision trees
- loss function
- base learners
- e learning
- logistic regression
- low cost
- low complexity
- ensemble methods
- random forest
- naive bayes
- machine learning algorithms
- active learning
- machine learning
- sat solvers
- search algorithm
- classification models
- ensemble learning
- training data
- random forests
- video sequences