Classification on myocardial (accuracy)
78.9AccuracyCAAFE
Evaluation results
| Method | Links | |
|---|---|---|
| CAAFEBackbone=XGBoost, n (number of samples)=1.7k, p (number of features)=1112025.03 | 78.9 | |
| LLM-FEBackbone=XGBoost, n (number of samples)=1.7k, p (number of features)=1112025.03 | 78.9 | |
| OpenFEBackbone=XGBoost, n (number of samples)=1.7k, p (number of features)=1112025.03 | 78.7 | |
| OCTreeBackbone=XGBoost, n (number of samples)=1.7k, p (number of features)=1112025.03 | 78.7 | |
| BaseBackbone=XGBoost, n (number of samples)=1.7k, p (number of features)=1112025.03 | 78.4 | |
| FeatLLMBackbone=XGBoost, n (number of samples)=1.7k, p (number of features)=1112025.03 | 77.8 |