Graph Parameter Classification on Erdős-Rényi (ER) random graph model
100AccuracyDiversity Curves
Evaluation results
| Method | Links | |
|---|---|---|
| Diversity Curvesclassifier=kNN-classifier, validation=10-fold stratified grouped CV, distance_metric=Euclidean distance, input=Shortest-path distance2026.05 | 100 | |
| Kernel Shortest Pathclassifier=kNN-classifier, validation=10-fold stratified grouped CV2026.05 | 100 | |
| FEATHERclassifier=kNN-classifier, validation=10-fold stratified grouped CV2026.05 | 100 | |
| SpectralZooclassifier=kNN-classifier, validation=10-fold stratified grouped CV2026.05 | 100 | |
| PH Vietoris–Ripsclassifier=kNN-classifier, validation=10-fold stratified grouped CV2026.05 | 100 | |
| Kernel WL Opt. Assig.classifier=kNN-classifier, validation=10-fold stratified grouped CV2026.05 | 98 | |
| NetLSDclassifier=kNN-classifier, validation=10-fold stratified grouped CV2026.05 | 97 | |
| TopERclassifier=kNN-classifier, validation=10-fold stratified grouped CV2026.05 | 89 |