Decision context migration (DE to DC) on Erdős-Rényi graph (ER) (test)
0.902Performance RatioSocial-Inverse
Evaluation Results
| Method | Links | |
|---|---|---|
| Social-InverseK=30, Distribution Model (M)=M_0.1, Training size=270, Testing size=540, beta=12022.09 | 0.902 | |
| Social-InverseK=30, Distribution Model (M)=M_0.5, Training size=270, Testing size=540, beta=12022.09 | 0.9 | |
| Social-InverseK=60, Distribution Model (M)=M_0.1, Training size=270, Testing size=540, beta=12022.09 | 0.895 | |
| Social-InverseK=60, Distribution Model (M)=M_0.5, Training size=270, Testing size=540, beta=12022.09 | 0.892 | |
| Social-InverseK=15, Distribution Model (M)=M_0.1, Training size=270, Testing size=540, beta=12022.09 | 0.886 | |
| Social-InverseK=15, Distribution Model (M)=M_0.5, Training size=270, Testing size=540, beta=12022.09 | 0.879 | |
| Social-InverseK=60, Distribution Model (M)=M_1, Training size=270, Testing size=540, beta=12022.09 | 0.8 | |
| Social-InverseK=30, Distribution Model (M)=M_1, Training size=270, Testing size=540, beta=12022.09 | 0.796 | |
| Social-InverseK=15, Distribution Model (M)=M_1, Training size=270, Testing size=540, beta=12022.09 | 0.773 | |
| Social-InverseK=60, Distribution Model (M)=M_inf, Training size=270, Testing size=540, beta=12022.09 | 0.75 | |
| Social-InverseK=30, Distribution Model (M)=M_inf, Training size=270, Testing size=540, beta=12022.09 | 0.677 | |
| Social-InverseK=15, Distribution Model (M)=M_inf, Training size=270, Testing size=540, beta=12022.09 | 0.526 | |
| HDTraining size=270, Testing size=5402022.09 | 0.09 | |
| GNNTraining size=270, Testing size=5402022.09 | 0.05 | |
| NBTraining size=270, Testing size=5402022.09 | 0.04 | |
| DSPNTraining size=270, Testing size=5402022.09 | 0.04 | |
| RandomTraining size=270, Testing size=5402022.09 | 0.04 |