A stacking ensemble machine learning method for early identification of students at risk of dropout.
Juan Andrés Talamás-CarvajalHector G. CeballosPublished in: Educ. Inf. Technol. (2023)
Keyphrases
- machine learning
- cost function
- data sets
- support vector machine
- significant improvement
- distance learning
- preprocessing
- clustering method
- high accuracy
- e learning
- feature selection
- neural network
- statistical methods
- regression problems
- machine learning methods
- student learning
- test data
- segmentation method
- learning analytics
- detection method
- text classification
- classification accuracy
- dynamic programming
- feature space
- computer science
- training data
- image segmentation
- computer vision
- learning algorithm