Table 3 The performance of each model calculated using 30% of dataset that was excluded from training set
Method | Performance Measure | Value |
|---|---|---|
Multilayer Perceptron (MLP) | AUC | 0.98405 |
F-measure | 0.98254 | |
Precision | 0.96628 | |
Recall | 0.99936 | |
Accuracy | 0.98321 | |
Random Forest (RF) | AUC | 0.98734 |
F-measure | 0.98608 | |
Precision | 0.97255 | |
Recall | 1 | |
Accuracy | 0.98665 | |
Support Vector Machine (SVM) | AUC | 0.99919 |
F-measure | 0.99911 | |
Precision | 0.99847 | |
Recall | 0.99975 | |
Accuracy | 0.99915 |