Table 6.
Feature importance values for Random Forest, Decision Trees, and Extra Trees.
| Random Forest (RFs) | Decision Trees (DTs) | Extra Trees (ETs) | |||
|---|---|---|---|---|---|
| Feature | Importance | Feature | Importance | Feature | Importance |
| Number of unit courses attended in the present academic year | 0.5300 | Number of unit courses attended in the present academic year | 0.5539 | Number of unit courses attended in the present academic year | 0.6770 |
| Student's age (years) | 0.1429 | School size (# students) | 0.1368 | Gender | 0.1167 |
| School size (# students) | 0.0924 | Economic level of residence area | 0.0770 | Student's age (years) | 0.0484 |
| Gender | 0.0737 | Gender | 0.0524 | Economic level of residence area | 0.0330 |
| Economic level of residence area | 0.0363 | Student's age (years) | 0.0506 | School size (# students) | 0.0277 |
Note: Feature importance is only possible to be computed in tree-based models.