Advances, Systems and Applications
From: MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects
Metrics | Models | ||||
---|---|---|---|---|---|
 | SVM | Static GCN | LSTM | MF-GCN-LSTM | |
Pre | PPD0 | 0.53 | 0.67 | 0.91 | 1.00 |
 | PPD1 | 0.70 | 0.81 | 0.94 | 1.00 |
 | PPD2 | 0.59 | 0.82 | 0.84 | 1.00 |
 | AVG. | 0.61 | 0.77 | 0.91 | 1.00 |
Rec | PPD0 | 0.81 | 0.63 | 0.85 | 0.80 |
 | PPD1 | 0.90 | 0.71 | 0.88 | 0.94 |
 | PPD2 | 0.66 | 0.78 | 0.75 | 0.84 |
 | AVG. | 0.79 | 0.71 | 0.82 | 0.86 |
F1 | PPD0 | 0.64 | 0.65 | 0.87 | 0.88 |
 | PPD1 | 0.79 | 0.75 | 0.91 | 0.97 |
 | PPD2 | 0.63 | 0.79 | 0.83 | 0.91 |
 | AVG. | 0.68 | 0.73 | 0.87 | 0.92 |
 | Diff. | 0.16 | 0.14 | 0.08 | 0.09 |