MLCQ God Class SVM Evaluation Approaches
Comparison Table
| Approach |
Accuracy |
Precision |
Recall |
F1-score |
| Token Based |
0.5754 |
0.2965 |
0.7089 |
0.4143 |
| Tree Based |
0.7425 |
0.4364 |
0.7161 |
0.5381 |
| Metric Based |
0.8054 |
0.5319 |
0.8172 |
0.6400 |
| PreTrained |
0.7831 |
0.4947 |
0.6976 |
0.5751 |
Bar Plot
Evaluation Results
SVM - Token Based
- Accuracy: 0.5754
- Precision: 0.2965
- Recall: 0.7089
- F1-score: 0.4143
SVM - Tree Based
- Accuracy: 0.7425
- Precision: 0.4364
- Recall: 0.7161
- F1-score: 0.5381
SVM - Metric Based
- Accuracy: 0.8054
- Precision: 0.5319
- Recall: 0.8172
- F1-score: 0.6400
SVM - PreTrained
- Accuracy: 0.7831
- Precision: 0.4947
- Recall: 0.6976
- F1-score: 0.5751
