Ensemble Pruning Fidelity on 12 datasets mean performance (test)
99.57FidelityPINE-CL
Evaluation results
| Method | Links | |
|---|---|---|
| PINE-CLEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=22026.05 | 99.57 | |
| cluster_centroidsEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 96.74 | |
| LeafMagnitude-TopKEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 95.97 | |
| TreeGain-TopKEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 95.5 | |
| error_ambiguityEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 95.42 | |
| drepEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 95.41 | |
| individual_errorEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 95.23 | |
| FeatImpTree-TopKEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 94.41 | |
| largest_mean_distanceEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 94.31 | |
| reduced_errorEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 94.22 | |
| individual_kappa_statisticEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 92.84 | |
| complementarinessEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 92.75 | |
| cluster_accuracyEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 91.07 | |
| individual_contributionEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 90.84 | |
| combined_errorEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 89.69 | |
| margin_distanceEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 88.82 | |
| individual_margin_diversityEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 88.5 | |
| combinedEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 86.9 | |
| reference_vectorEnsemble type=XGBoost, Original ensemble size (M)=30 trees, Maximum depth (D)=2, Target ensemble size=Match PINE2026.05 | 86.59 |