Table 13 recurrence of algorithms by categories
From: Predicting academic success in higher education: literature review and best practices
Method | Techniques | Percentage |
|---|---|---|
Classification | Decision tree algorithms (J48, C4.5, Random tree, and REPTree) | 44% |
Bayesian algorithms | 19% | |
Artificial Neural Networks | 10% | |
Rule learner’s algorithms | 9% | |
Ensemble Learning | 7% | |
K-Nearest Neighbor | 5% | |
Regression | Regression | 3% |
Clustering | X-means | 2% |