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ResearchFormerly WizWand

Classification on Wine (5-fold CV)

98.3AccuracyAtomic forests
28.146.32564.5582.775Nov 28, 2025Dec 23, 2025Jan 18, 2026Feb 13, 2026Mar 10, 2026Apr 5, 2026May 1, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Atomic forestsN=178, d=13, Config=depth-1 (L1)2026.0598.3
FRRCross-validation=5-fold2025.1297.22
FGRT*Cross-validation=5-fold, Partitioning Strategy=Optimized separability-based2025.1296.62
Best Fusionvariant=Best-performing fusion variant2025.1296.6
Ensemble-KNNvalidation=5-fold cross-validation2025.1196.1
KNN-Distancevalidation=5-fold cross-validation2025.1196.1
XGBoostN=178, d=13, Config=depth-1 (L1)2026.0596.1
KNN-Uniformvalidation=5-fold cross-validation2025.1195.5
DW-KNNvalidation=5-fold cross-validation2025.1195
KNN-Kernelvalidation=5-fold cross-validation2025.1195
FGRTCross-validation=5-fold, Partitioning Strategy=Default quantile2025.1294.41
Classicaltype=Classical baseline2025.1294.3
Residual-6q-Deeparchitecture=Residual quantum circuit2025.1293.2
Compactness-KNNvalidation=5-fold cross-validation2025.1192.7
C4.5Cross-validation=5-fold2025.1292.08
FGACross-validation=5-fold2025.1291.67
CARTCross-validation=5-fold2025.1289.87
RIPPERCross-validation=5-fold2025.1286.2
Quantumtype=Quantum-only baseline2025.1230.8