Table 6 Comparison results of various evaluation metrics from decision tree with non-English Language stopwords removal.
From: Key insights into recommended SMS spam detection datasets
Decision Tree | |||||||
|---|---|---|---|---|---|---|---|
Dataset | Accuracy | Precision (Ham) | Precision (Spam) | Recall (Ham) | Recall (Spam) | F1 - Score (Ham) | F1 - Score (Spam) |
2 | 97.85% | 0.99 | 0.97 | 0.97 | 0.99 | 0.98 | 0.98 |
4 | 81.19% | 0.81 | 0.82 | 0.88 | 0.73 | 0.84 | 0.77 |
6 | 91.75% | 0.92 | 0.92 | 0.92 | 0.92 | 0.92 | 0.92 |
7 | 91.33% | 0.92 | 0.91 | 0.91 | 0.92 | 0.91 | 0.91 |
8 | 88.21% | 0.84 | 0.92 | 0.91 | 0.86 | 0.87 | 0.89 |
9 | 76.19% | 0.80 | 0.75 | 0.50 | 0.92 | 0.62 | 0.83 |
10 | 78.38% | 0.69 | 0.86 | 0.79 | 0.78 | 0.73 | 0.82 |
