Table 11 Naïve and Multinomial Naïve Bayes classifiers’ results t
Filter | Stopwords filter | Attributes selection | TP | FP | FN | Pre. | Recall | F1 | |
|---|---|---|---|---|---|---|---|---|---|
Naïve Bayes, Unigram | |||||||||
1. | No Filter | No | No – 703 | 137 | 4909 | 5 | 0.3 | 0.96 | 0.05 |
2. | No Filter | No | Yes – 569 | 137 | 5773 | 5 | 0.2 | 0.97 | 0.05 |
3. | No Filter | Yes | No – 764 | 136 | 5218 | 6 | 0.03 | 0.96 | 0.05 |
4. | No Filter | Yes | Yes – 572 | 136 | 6270 | 6 | 0.02 | 0.96 | 0.04 |
5. | Computer | No | No – 654 | 137 | 5992 | 5 | 0.02 | 0.96 | 0.04 |
6. | Computer | No | Yes – 576 | 137 | 6127 | 5 | 0.02 | 0.97 | 0.04 |
7. | Computer | Yes | No – 654 | 136 | 6537 | 6 | 0.02 | 0.96 | 0.04 |
8. | Computer | Yes | Yes – 586 | 136 | 6710 | 6 | 0.02 | 0.96 | 0.04 |
Multinomial Naïve Bayes, Unigram | |||||||||
9. | No Filter | No | No – 703 | 138 | 1465 | 4 | 0.09 | 0.97 | 0.16 |
10. | No Filter | No | Yes – 569 | 137 | 911 | 5 | 0.13 | 0.96 | 0.23 |
11. | No Filter | Yes | No – 764 | 139 | 2161 | 3 | 0.06 | 0.98 | 0.11 |
12. | No Filter | Yes | Yes – 572 | 138 | 1166 | 4 | 0.11 | 0.97 | 0.19 |
13. | Computer | No | No – 654 | 137 | 713 | 5 | 0.16 | 0.96 | 0.28 |
14. | Computer | No | Yes – 576 | 137 | 623 | 5 | 0.18 | 0.96 | 0.30 |
15. | Computer | Yes | No – 654 | 138 | 952 | 4 | 0.13 | 0.97 | 0.22 |
16. | Computer | Yes | Yes – 586 | 137 | 831 | 5 | 0.14 | 0.96 | 0.25 |
Naïve Bayes Applied to Accept file (improved) Approach | |||||||||
17. | Computer | NA | No – 136 | 91 | 76 | 51 | 0.54 | 0.64 | 0.59 |
18. | Computer | NA | Yes – 103 | 91 | 76 | 51 | 0.54 | 0.64 | 0.59 |
Multinomial Naïve Bayes Applied to Accept file (improved) Approach | |||||||||
19. | Computer | NA | No – 136 | 13 | 3 | 129 | 0.81 | 0.09 | 0.16 |
20. | Computer | NA | Yes – 103 | 11 | 4 | 131 | 0.73 | 0.08 | 0.14 |