Classification on arrhythmia
65.9Balanced AccuracyLLM-FE
Evaluation results
| Method | Links | |
|---|---|---|
| LLM-FEBackbone=XGBoost, n (number of samples)=452, p (number of features)=2792025.03 | 65.9 | |
| BaseBackbone=XGBoost, n (number of samples)=452, p (number of features)=2792025.03 | 65.7 | |
| MLP+CRegularization=Cocktails2021.06 | 61.461 | |
| AutoGluonStacking=true2021.06 | 48.934 | |
| XGBoostHPO=BOHB2021.06 | 48.779 | |
| ASK-GBDTHPO=SMAC, Library=Auto-sklearn2021.06 | 46.85 | |
| TabNet2021.06 | 43.562 | |
| MLP+DRegularization=Dropout2021.06 | 38.704 | |
| MLP2021.06 | 37.991 | |
| CuBASclassifier=k-NN, training_set_sizes=10%–80%2026.07 | 17.24 | |
| Randomclassifier=k-NN, training_set_sizes=10%–80%2026.07 | 14.39 | |
| Entropyclassifier=k-NN, training_set_sizes=10%–80%2026.07 | 12.27 |