Research Article
Improved Malware Detection Model with Apriori Association Rule and Particle Swarm Optimization
Table 6
Models Best Performance of Unsupervised learners (Appropriateness) in terms of Error and Accuracy.
| Classification Algorithms | True Detection Rate (TPR) | False Alarm Rate (FPR) | Accuracy | F-Measure | MAE | RMSE |
| Bayesian Classifier | 0.9489 | 0.2705 | 0.8411 | 0.8598 | 0.1695 | 0.3668 | Naïve Bayes | 0.9270 | 0.2771 | 0.8280 | 0.8500 | 0.1703 | 0.3748 | PART | 0.8883 | 0.1332 | 0.8791 | 0.9030 | 0.1297 | 0.3210 | J48 | 0.8815 | 0.1053 | 0.8802 | 0.9075 | 0.1477 | 0.3233 | Random Forest | 0.9200 | 0.1409 | 0.8960 | 0.9164 | 0.1548 | 0.2662 | Neural Network | 0.9501 | 0.1528 | 0.9114 | 0.9332 | - | 0.3983 | Classification-based Multiple Association Rule | 0.7884 | 0.8862 | 0.6670
| 0.7974 | - | 0.5747 |
|
|