MLCQ God Class Naive Bayes Evaluation Approaches
Comparison Table
| Approach |
Accuracy |
Precision |
Recall |
F1-score |
| Token Based |
0.5833 |
0.2972 |
0.6953 |
0.4134 |
| Tree Based |
0.6355 |
0.3453 |
0.7858 |
0.4772 |
| Metric Based |
0.8329 |
0.6985 |
0.3743 |
0.4818 |
| PreTrained |
0.6737 |
0.3814 |
0.8364 |
0.5208 |
Bar Plot
Evaluation Results
Naive Bayes - Token Based
- Accuracy: 0.5833
- Precision: 0.2972
- Recall: 0.6953
- F1-score: 0.4134
Naive Bayes - Tree Based
- Accuracy: 0.6355
- Precision: 0.3453
- Recall: 0.7858
- F1-score: 0.4772
Naive Bayes - Metric Based
- Accuracy: 0.8329
- Precision: 0.6985
- Recall: 0.3743
- F1-score: 0.4818
Naive Bayes - PreTrained
- Accuracy: 0.6737
- Precision: 0.3814
- Recall: 0.8364
- F1-score: 0.5208
