MLCQ God Class Decision Tree Evaluation Approaches
Comparison Table
| Approach |
Accuracy |
Precision |
Recall |
F1-score |
| Token Based |
0.7654 |
0.4526 |
0.4303 |
0.4376 |
| Tree Based |
0.6965 |
0.3497 |
0.4733 |
0.3994 |
| Metric Based |
0.7784 |
0.4888 |
0.5654 |
0.5207 |
| PreTrained |
0.7393 |
0.4091 |
0.4938 |
0.4442 |
Bar Plot
Evaluation Results
Decision Tree - Token Based
- Accuracy: 0.7654
- Precision: 0.4526
- Recall: 0.4303
- F1-score: 0.4376
Decision Tree - Tree Based
- Accuracy: 0.6965
- Precision: 0.3497
- Recall: 0.4733
- F1-score: 0.3994
Decision Tree - Metric Based
- Accuracy: 0.7784
- Precision: 0.4888
- Recall: 0.5654
- F1-score: 0.5207
Decision Tree - PreTrained
- Accuracy: 0.7393
- Precision: 0.4091
- Recall: 0.4938
- F1-score: 0.4442
