Table 5 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 | Old | 0.56 | 0.28 | 0.63 | 0.24 | 0.46 | 0.44 |
New | 0.55 | 0.25 | 0.53 | 0.27 | 0.44 | 0.40 | |
3 | Old | 0.54 | 0.42 | 0.54 | 0.42 | 0.49 | 0.48 |
New | 0.55 | 0.50 | 0.46 | 0.64 | 0.53 | 0.56 | |
5 | Old | 0.65 | 0.25 | 0.83 | 0.18 | 0.52 | 0.40 |
New | 0.65 | 0.40 | 0.59 | 0.47 | 0.56 | 0.55 | |
7 | Old | 0.62 | 0.32 | 0.70 | 0.27 | 0.51 | 0.50 |
New | 0.74 | 0.27 | 0.69 | 0.18 | 0.61 | 0.46 | |
9 | Old | 0.72 | 0.28 | 0.95 | 0.17 | 0.59 | 0.61 |
New | 0.66 | 0.43 | 0.76 | 0.35 | 0.57 | 0.56 | |
11 | Old | 0.71 | 0.33 | 0.85 | 0.24 | 0.60 | 0.63 |
New | 0.65 | 0.35 | 0.73 | 0.29 | 0.55 | 0.50 | |
13 | Old | 0.79 | 0.16 | 0.98 | 0.09 | 0.66 | 0.61 |
New | 0.74 | 0.36 | 0.81 | 0.29 | 0.63 | 0.54 | |
15 | Old | 0.77 | 0.12 | 0.97 | 0.06 | 0.63 | 0.60 |
New | 0.76 | 0.34 | 0.89 | 0.24 | 0.65 | 0.52 | |