Table 1.
Comparative analysis of traditional machine learning algorithms
Algorithm | Precision | Recall | F1 score | Accuracy (%) |
---|---|---|---|---|
Logistic regression | 0.94 | 0.96 | 0.95 | 96.2 |
Multinomial Naïve Bayesian | 0.94 | 0.96 | 0.95 | 96.2 |
Support vector machine | 0.82 | 0.91 | 0.86 | 90.6 |
Decision tree | 0.92 | 0.92 | 0.92 | 92.5 |