Classification on communities
0.866ROC-AUCBaseline
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Baselinefolds=52026.02 | 0.866 | — | |
| CAAFEfolds=52026.02 | 0.864 | — | |
| FAMOSEfolds=52026.02 | 0.861 | — | |
| FeatLLMfolds=52026.02 | 0.808 | — | |
| TAROTShot=162026.06 | 0.7851 | — | |
| STUNTShot=162026.06 | 0.7729 | — | |
| TAROTShot=82026.06 | 0.7712 | — | |
| FeatLLMShot=82026.06 | 0.7659 | — | |
| STUNTShot=82026.06 | 0.7636 | — | |
| FeatLLMShot=162026.06 | 0.7625 | — | |
| TAROTShot=42026.06 | 0.759 | — | |
| FeatLLMShot=42026.06 | 0.7539 | — | |
| SCARFShot=162026.06 | 0.7309 | — | |
| SCARFShot=82026.06 | 0.7269 | — | |
| STUNTShot=42026.06 | 0.6687 | — | |
| SCARFShot=42026.06 | 0.6618 | — | |
| BaseBackbone=XGBoost, n (number of samples)=1.9k, p (number of features)=1032025.03 | — | 70.6 | |
| CAAFEBackbone=XGBoost, n (number of samples)=1.9k, p (number of features)=1032025.03 | — | 70.7 | |
| FeatLLMBackbone=XGBoost, n (number of samples)=1.9k, p (number of features)=1032025.03 | — | 59.3 | |
| LLM-FEBackbone=XGBoost, n (number of samples)=1.9k, p (number of features)=1032025.03 | — | 71.1 | |
| OCTreeBackbone=XGBoost, n (number of samples)=1.9k, p (number of features)=1032025.03 | — | 70.8 | |
| OpenFEBackbone=XGBoost, n (number of samples)=1.9k, p (number of features)=1032025.03 | — | 70.4 |