Classification on ILPD (Accuracy)
71.7AccuracyCG
Evaluation Results
| Method | Links | |
|---|---|---|
| CG#samples=583, #features=1602022.06 | 71.7 | |
| DS-OPT#samples=583, #features=1602022.06 | 71.4 | |
| RF#samples=583, #features=1602022.06 | 71.2 | |
| FAMeXClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 70.72 | |
| FAMeXFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 70.28 | |
| PFIClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 69.98 | |
| CART#samples=583, #features=1602022.06 | 69.4 | |
| SHAPClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 69.07 | |
| BRS#samples=583, #features=1602022.06 | 69 | |
| SHAPClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 68.53 | |
| PFIClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 68.36 | |
| FAMeXClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 68.19 | |
| SHAPClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 68.13 | |
| SHAPFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 66.9 | |
| PFIFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 66.36 | |
| FAMeXClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 65.76 | |
| SHAPFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 65.68 | |
| FAMeXFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 64.93 | |
| PFIClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 63.87 | |
| PFIFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 62.56 | |
| RIPPER#samples=583, #features=1602022.06 | 57.8 | |
| FAMeXClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 53.69 | |
| PFIClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 50.48 | |
| SHAPClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 49.98 |