Advances, Systems and Applications
From: Deep learning approach to security enforcement in cloud workflow orchestration
K-Fold | Algorithm name | Precision | Recall | Accuracy | F1 Score |
---|---|---|---|---|---|
3-Fold | SVM | 0.63 | 0.99 | 80.94 | 0.77 |
Isolation forest | 0.94 | 0.99 | 96.23 | 0.96 | |
Elliptic Envelope | 0.94 | 0.94 | 93.83 | 0.94 | |
Local Outlier Factor | 0.82 | 0.99 | 90.63 | 0.90 | |
k-means | 0.94 | 0.99 | 96.43 | 0.96 | |
Mini Batch k-Means | 0.94 | 0.99 | 96.43 | 0.96 | |
Mean Shift | 0.61 | 0.64 | 63.30 | 0.63 | |
Birch | 0.33 | 0.99 | 66.19 | 0.49 | |
5-Fold | SVM | 0.75 | 0.99 | 86.98 | 0.85 |
Isolation forest | 0.94 | 0.99 | 96.14 | 0.96 | |
Elliptic Envelope | 0.94 | 0.90 | 91.81 | 0.92 | |
Local Outlier Factor | 0.81 | 0.99 | 90.06 | 0.89 | |
k-means | 0.94 | 0.99 | 96.43 | 0.96 | |
Mini Batch k-Means | 0.94 | 0.99 | 96.43 | 0.96 | |
Mean Shift | 0.61 | 0.64 | 63.47 | 0.63 | |
Birch | 0.20 | 1.00 | 60.07 | 0.34 | |
10-Fold | SVM | 0.65 | 0.99 | 82.06 | 0.78 |
Isolation forest | 0.93 | 0.99 | 96.14 | 0.96 | |
Elliptic Envelope | 0.94 | 0.86 | 89.54 | 0.90 | |
Local Outlier Factor | 0.82 | 0.99 | 90.38 | 0.90 | |
k-means | 0.94 | 0.99 | 96.43 | 0.96 | |
Mini Batch k-Means | 0.95 | 0.72 | 79.44 | 0.82 | |
Mean Shift | 0.61 | 0.64 | 63.64 | 0.63 | |
Birch | 0.11 | 1.00 | 55.31 | 0.20 |