Classification on Apndcts
87.68AccuracyFAMeX
Evaluation results
| Method | Links | |
|---|---|---|
| FAMeXClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 87.68 | |
| FAMeXClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 85.82 | |
| PFIClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 84.99 | |
| FAMeXClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 84.4 | |
| FAMeXClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 84.31 | |
| SHAPClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 83.77 | |
| PFIClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 83.31 | |
| FAMeXFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 81.41 | |
| SHAPClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 79 | |
| FAMeXFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 79 | |
| SHAPClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 78.54 | |
| PFIClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 78.45 | |
| PFIFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 77.09 | |
| PFIFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 75.86 | |
| SHAPFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 75.59 | |
| SHAPFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 70.95 | |
| PFIClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 66.59 | |
| SHAPClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 65.36 |