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Classification on Simulated high-dimensional dataset nine simulation scenarios (test)

92.6Accuracy

engGNN

Updated 3d ago

Evaluation Results

Method
engGNN 2026.01	92.6	0.98	90.6
GEDFNe 2026.01	92.4	0.98	90.3
engGNN 2026.01	92.3	0.981	90.3
GEDFNxgb 2026.01	92.3	0.981	90.2
GEDFNrf 2026.01	92.1	0.978	90.4
GEDFNrf 2026.01	92	0.978	89.7
GEDFNxgb 2026.01	92	0.978	89.8
GEDFNxgb 2026.01	91.9	0.976	89.4
GEDFNrf 2026.01	91.4	0.976	88.6
GEDFNe 2026.01	91.4	0.975	89
GEDFNe 2026.01	91.3	0.972	88.9
DFN 2026.01	91.3	0.974	88.8
engGNN 2026.01	91.2	0.968	88.5
GEDFNxgb 2026.01	91	0.972	88.6
GEDFNxgb 2026.01	91	0.975	88.2
engGNN 2026.01	90.9	0.972	88.4
engGNN 2026.01	90.8	0.972	88.5
engGNN 2026.01	90.8	0.971	87.9
GEDFNrf 2026.01	90.8	0.968	88.2
GEDFNe 2026.01	90.6	0.963	88.3
GEDFNxgb 2026.01	90.6	0.971	88
engGNN 2026.01	90.5	0.974	88.1
XGBoost 2026.01	90.5	0.969	88
DFN 2026.01	90.5	0.97	87.9
GEDFNe 2026.01	90.5	0.97	87.8
GEDFNrf 2026.01	90.4	0.971	87.8
GEDFNrf 2026.01	90.3	0.965	87.5
GEDFNxgb 2026.01	90.2	0.963	87.7
GEDFNe 2026.01	90	0.969	87.8
XGBoost 2026.01	89.8	0.963	86.7
XGBoost 2026.01	89.6	0.964	86.6
DFN 2026.01	89.3	0.961	86.5
DFN 2026.01	89.2	0.963	87
GEDFNe 2026.01	88.9	0.965	85.7
GEDFNe 2026.01	88.6	0.951	84.7
GEDFNrf 2026.01	88.6	0.959	84.1
XGBoost 2026.01	88.3	0.959	84.7
DFN 2026.01	88.2	0.954	84.7
DFN 2026.01	88	0.955	85.3
GEDFNrf 2026.01	87.7	0.956	83.6
XGBoost 2026.01	87.4	0.944	83.4
engGNN 2026.01	87	0.946	83.8
RF 2026.01	87	0.94	83
engGNN 2026.01	86.8	0.952	83.3
GEDFNrf 2026.01	86.8	0.949	83.1
RF 2026.01	86.6	0.942	82.6
DFN 2026.01	86.5	0.943	83
XGBoost 2026.01	86.4	0.947	81.8
DFN 2026.01	86.1	0.932	82.7
GEDFNxgb 2026.01	86	0.955	83.4
GEDFNxgb 2026.01	85.9	0.952	81.8
XGBoost 2026.01	85.9	0.947	82.4
RF 2026.01	85.8	0.944	81.2
RF 2026.01	85.8	0.942	81.7
XGBoost 2026.01	85.6	0.935	81.1
RF 2026.01	85.1	0.927	80.2
GEDFNe 2026.01	84.8	0.943	80.1
RF 2026.01	84.8	0.927	80.7
RF 2026.01	84.5	0.93	79.6
DFN 2026.01	83.9	0.937	79.7
RF 2026.01	83.4	0.926	77.3
XGBoost 2026.01	83.3	0.921	78.4
RF 2026.01	81.8	0.909	76.2