Graph Classification On Neuron Binary
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| persistence-images-a-stable-vector | 84.1 |
| learning-metrics-for-persistence-based-2 | 86.5 |
| kernel-method-for-persistence-diagrams-via | 80.1 |
| learning-metrics-for-persistence-based-2 | 90.3 |
| sliced-wasserstein-kernel-for-persistence | 85.1 |