MLCQ God Class Random Forest Evaluation Approaches
Comparison Table
| Approach |
Accuracy |
Precision |
Recall |
F1-score |
| Token Based |
0.8268 |
0.6810 |
0.3634 |
0.4707 |
| Tree Based |
0.7952 |
0.5290 |
0.4214 |
0.4661 |
| Metric Based |
0.8180 |
0.5656 |
0.6666 |
0.6079 |
| PreTrained |
0.7924 |
0.5148 |
0.5814 |
0.5431 |
Bar Plot
Evaluation Results
Random Forest - Token Based
- Accuracy: 0.8268
- Precision: 0.6810
- Recall: 0.3634
- F1-score: 0.4707
Random Forest - Tree Based
- Accuracy: 0.7952
- Precision: 0.5290
- Recall: 0.4214
- F1-score: 0.4661
Random Forest - Metric Based
- Accuracy: 0.8180
- Precision: 0.5656
- Recall: 0.6666
- F1-score: 0.6079
Random Forest - PreTrained
- Accuracy: 0.7924
- Precision: 0.5148
- Recall: 0.5814
- F1-score: 0.5431
