Table 4 Comparison results of various evaluation metrics from decision tree with 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) |
1 | 96.86% | 0.97 | 0.95 | 0.99 | 0.83 | 0.98 | 0.89 |
2 | 98.28% | 0.98 | 0.98 | 0.98 | 0.99 | 0.98 | 0.98 |
3 | 98.35% | 0.99 | 0.94 | 0.99 | 0.94 | 0.99 | 0.94 |
4 | 78.22% | 0.80 | 0.76 | 0.82 | 0.73 | 0.81 | 0.74 |
5 | 76.55% | 0.87 | 0.65 | 0.73 | 0.82 | 0.80 | 0.72 |
6 | 92.50% | 0.92 | 0.93 | 0.93 | 0.92 | 0.93 | 0.92 |
7 | 89.94% | 0.89 | 0.91 | 0.91 | 0.89 | 0.90 | 0.90 |
8 | 89.96% | 0.88 | 0.92 | 0.90 | 0.90 | 0.89 | 0.91 |
9 | 76.19% | 0.64 | 0.90 | 0.88 | 0.69 | 0.74 | 0.78 |
10 | 86.49% | 0.76 | 0.95 | 0.93 | 0.83 | 0.84 | 0.88 |
