Table 9.
Results for author detection task using Naïve Bayes and support vector machine (SVM) classification models implemented in WEKA.
| Subforum | Features | F score | |
|
|
|
Naïve Bayes | SVM |
| IVF Ages 35+ | Frequent words only | 0.636 | 0.760 |
| IVF Ages 35+ | Frequent words + punctuation + figures + capital letters frequency | 0.624 | 0.766 |
| IVF Ages 35+ | Frequent 5-character sequences | 0.586 | 0.743 |
| IVF/FET/IUI Cycle Buddies | Frequent words only | 0.575 | 0.690 |
| IVF/FET/IUI Cycle Buddies | Frequent words + punctuation + figures + capital letters frequency | 0.567 | 0.694 |
| IVF/FET/IUI Cycle Buddies | Frequent 5-character sequences | 0.550 | 0.701 |