Classification on Ring of Gaussians
1AUCLabel propagation
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Label propagationNumber of Labeled points=2002026.02 | 1 | 0.992 | |
| Poisson learningNumber of Labeled points=2002026.02 | 0.999 | 0.99 | |
| AUC-SpecNumber of Labeled points=2002026.02 | 0.995 | 0.986 | |
| p laplaceNumber of Labeled points=2002026.02 | 0.99 | 0.981 | |
| AUC-SpecNumber of Labeled points=202026.02 | 0.982 | 0.928 | |
| Poisson learningNumber of Labeled points=202026.02 | 0.966 | 0.859 | |
| Label propagationNumber of Labeled points=202026.02 | 0.95 | 0.96 | |
| AUC-SpecNumber of Labeled points=122026.02 | 0.925 | 0.8 | |
| Poisson learningNumber of Labeled points=122026.02 | 0.896 | 0.779 | |
| AUC-SpecNumber of Labeled points=102026.02 | 0.887 | 0.731 | |
| Poisson learningNumber of Labeled points=102026.02 | 0.86 | 0.704 | |
| p laplaceNumber of Labeled points=202026.02 | 0.844 | 0.821 | |
| AUC-SpecNumber of Labeled points=82026.02 | 0.842 | 0.677 | |
| Poisson learningNumber of Labeled points=82026.02 | 0.824 | 0.664 | |
| Label propagationNumber of Labeled points=122026.02 | 0.74 | 0.825 | |
| p laplaceNumber of Labeled points=122026.02 | 0.705 | 0.745 | |
| Top eigenvectorsNumber of Labeled points=2002026.02 | 0.679 | 0.601 | |
| Top eigenvectorsNumber of Labeled points=202026.02 | 0.66 | 0.655 | |
| Label propagationNumber of Labeled points=102026.02 | 0.655 | 0.754 | |
| Top eigenvectorsNumber of Labeled points=102026.02 | 0.652 | 0.675 | |
| Top eigenvectorsNumber of Labeled points=122026.02 | 0.648 | 0.663 | |
| Top eigenvectorsNumber of Labeled points=82026.02 | 0.622 | 0.655 | |
| p laplaceNumber of Labeled points=102026.02 | 0.586 | 0.666 | |
| p laplaceNumber of Labeled points=82026.02 | 0.581 | 0.622 | |
| Label propagationNumber of Labeled points=82026.02 | 0.579 | 0.693 |