Table 15.
Score | Logistic Regression |
Linear SVM |
Random Forest |
Naïve Bayes |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
precision | recall | f1-score | precision | recall | f1-score | precision | recall | f1-score | precision | recall | f1-score | |
Low | 0.93 | 0.97 | 0.95 | 0.91 | 0.97 | 0.94 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
Medium | 0.86 | 0.73 | 0.79 | 0.96 | 0.56 | 0.71 | 0.95 | 0.98 | 0.96 | 0.76 | 0.78 | 0.77 |
High | 0.91 | 0.95 | 0.93 | 0.83 | 0.97 | 0.9 | 0.99 | 0.97 | 0.98 | 0.88 | 0.87 | 0.88 |
Accuracy = 0.91 | Accuracy = 0.88 | Accuracy = 0.98 | Accuracy = 0.90 |