Table 5 Comparative table of metrics of Algorithms.
From: Using machine learning to predict student outcomes for early intervention and formative assessment
Assessment criteria | Random forest | SVM | C5.0 | CART |
|---|---|---|---|---|
Accuracy (%) | 74.3% | 68% | 73% | 68.5% |
Number of correctly classified samples | 456 | 415 | 448 | 420 |
Number of misclassified samples | 157 | 198 | 165 | 193 |
TP rate | 0.743 | 0.68 | 0.73 | 0.685 |
FP rate | 0.257 | 0.32 | 0.27 | 0.315 |
Precision | 0.735 | 0.644 | 0,730 | 0.689 |
Recall | 0.788 | 0.70 | 0.760 | 0.696 |
F-Score | 0.761 | 0.671 | 0.745 | 0.693 |
Kappa value | 0.487 | 0.362 | 0.460 | 0.369 |
