Classification on Breast Cancer (test)
1.8Misclassification RateSVM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SVMN=569, Feat=30, Cls=22026.04 | 1.8 | — | |
| LogReg_rawFit time (s, mean)=0.00, Seeds=52026.06 | 1.93 | — | |
| CatBoostFit time (s, mean)=0.43, Seeds=52026.06 | 2.46 | — | |
| KNNN=569, Feat=30, Cls=22026.04 | 2.6 | — | |
| ArrowFlowN=569, Feat=30, Cls=2, ArrowFlow Config=[64,128] e=32 p=22026.04 | 2.8 | — | |
| KPPFit time (s, mean)=0.74, Seeds=52026.06 | 2.81 | — | |
| XGBoostFit time (s, mean)=0.07, Seeds=52026.06 | 3.16 | — | |
| RandomForestFit time (s, mean)=0.15, Seeds=52026.06 | 3.51 | — | |
| GradientBoostingFit time (s, mean)=0.82, Seeds=52026.06 | 3.51 | — | |
| LightGBMFit time (s, mean)=0.24, Seeds=52026.06 | 3.51 | — | |
| RFN=569, Feat=30, Cls=22026.04 | 4.4 | — | |
| MLPN=569, Feat=30, Cls=22026.04 | 4.4 | — | |
| XGBN=569, Feat=30, Cls=22026.04 | 4.4 | — | |
| StoNetq=22022.10 | 25.78 | — | |
| StoNetq=42022.10 | 26.82 | — | |
| KDRq=22022.10 | 27.14 | — | |
| GSIRq=42022.10 | 27.4 | — | |
| GSAVEq=22022.10 | 27.4 | — | |
| LSMIEq=42022.10 | 27.6 | — | |
| PCAq=42022.10 | 27.66 | — | |
| GSIRq=22022.10 | 27.72 | — | |
| GSAVEq=42022.10 | 28.05 | — | |
| LSMIEq=22022.10 | 28.12 | — | |
| KDRq=42022.10 | 28.18 | — | |
| SIRq=22022.10 | 28.18 | — | |
| SIRq=42022.10 | 28.31 | — | |
| PCAq=22022.10 | 28.57 | — | |
| SAVEq=22022.10 | 28.7 | — | |
| SAVEq=42022.10 | 29.22 | — | |
| CARTNf=9, Nc=2, Ns=683, Best-performing height=3, Max tree height=42026.05 | — | 94.7 | |
| CatBoostSample size=569, Validation protocol=5-fold cross-validation2026.05 | — | 96.7 | |
| CRO-DTNf=9, Nc=2, Ns=683, Best-performing height=2, Max tree height=42026.05 | — | 95.5 | |
| DGTNf=9, Nc=2, Ns=683, Best-performing height=2, Max tree height=42026.05 | — | 97.2 | |
| DTSemNetNf=9, Nc=2, Ns=683, Best-performing height=2, Max tree height=42026.05 | — | 97.2 | |
| GBTSample size=569, Validation protocol=5-fold cross-validation2026.05 | — | 97.4 | |
| IsomapType=Euclidean, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 95.3 | |
| KANSample size=569, Validation protocol=5-fold cross-validation2026.05 | — | 97.2 | |
| LDAType=Euclidean, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 96.5 | |
| PCAType=Euclidean, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 93 | |
| R-IsomapType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 92.4 | |
| R-LDAType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 97.7 | |
| R-LEType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 96.5 | |
| R-ONPPType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 93 | |
| R-PGAType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 93.6 | |
| R-RPCAType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | — | 93.6 | |
| RFSample size=569, Validation protocol=5-fold cross-validation2026.05 | — | 96.5 | |
| Soft LearningSample size=569, Validation protocol=5-fold cross-validation2026.05 | — | 97.4 | |
| TAONf=9, Nc=2, Ns=683, Best-performing height=3, Max tree height=42026.05 | — | 94.7 | |
| Tuned MLPSample size=569, Validation protocol=5-fold cross-validation2026.05 | — | 97.2 | |
| XBNet2021.06 | — | 96.49 | |
| XGBoost2021.06 | — | 96.47 |