Local Feature Importance Evaluation on 12 Real-World Datasets Aggregate (test)
1Average RankLMDI+
Evaluation Results
| Method | Links | |
|---|---|---|
| LMDI+Top Features Retained=30%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 1 | |
| LMDI+Top Features Retained=40%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 1.08 | |
| LMDI+Top Features Retained=20%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 1.17 | |
| LMDI+Top Features Retained=10%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 1.25 | |
| LIMETop Features Retained=10%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 2.17 | |
| LIMETop Features Retained=20%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 2.17 | |
| LIMETop Features Retained=40%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 2.33 | |
| LIMETop Features Retained=30%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 2.42 | |
| TreeSHAPTop Features Retained=10%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 2.83 | |
| TreeSHAPTop Features Retained=20%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 2.83 | |
| TreeSHAPTop Features Retained=30%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 2.83 | |
| TreeSHAPTop Features Retained=40%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 3.08 | |
| Local MDITop Features Retained=40%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 3.5 | |
| Local MDITop Features Retained=10%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 3.75 | |
| Local MDITop Features Retained=30%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 3.75 | |
| Local MDITop Features Retained=20%, Evaluation Protocol=Remove-and-Retrain, Base Model=Random Forest, Averaging=20 runs per dataset2025.06 | 3.83 |