Table 6 Performance comparison in holdout test set.
From: Student dropout prediction through machine learning optimization: insights from moodle log data
Week | Model | F1-score | Recall | Accuracy | AUC | ||
|---|---|---|---|---|---|---|---|
Approved | Reproved | Approved | Reproved | ||||
1 | Multiple | 0.63 | 0.49 | 0.56 | 0.60 | 0.57 | 0.63 |
Unique | 0.73 | 0.51 | 0.73 | 0.50 | 0.65 | 0.66 | |
3 | Multiple | 0.82 | 0.57 | 0.86 | 0.51 | 0.75 | 0.74 |
Unique | 0.83 | 0.58 | 0.88 | 0.57 | 0.76 | 0.84 | |
5 | Multiple | 0.82 | 0.55 | 0.78 | 0.63 | 0.74 | 0.76 |
Unique | 0.92 | 0.74 | 0.94 | 0.68 | 0.86 | 0.92 | |
7 | Multiple | 0.91 | 0.79 | 0.89 | 0.82 | 0.87 | 0.90 |
Unique | 0.94 | 0.86 | 0.95 | 0.85 | 0.90 | 0.95 | |
9 | Multiple | 0.90 | 0.74 | 0.95 | 0.65 | 0.85 | 0.90 |
Unique | 0.97 | 0.94 | 0.96 | 0.93 | 0.95 | 1.00 | |
11 | Multiple | 0.76 | 0.58 | 0.70 | 0.68 | 0.69 | 0.78 |
Unique | 0.89 | 0.81 | 0.98 | 0.91 | 0.94 | 0.98 | |
13 | Multiple | 0.92 | 0.67 | 0.92 | 0.64 | 0.87 | 0.88 |
Unique | 0.98 | 0.96 | 1.00 | 0.93 | 0.99 | 0.97 | |
15 | Multiple | 0.94 | 0.82 | 0.96 | 0.77 | 0.91 | 0.98 |
Unique | 0.96 | 0.91 | 0.97 | 0.89 | 0.95 | 0.99 | |