Classification on Australian UCI (5-fold cross-validated)
86.23AccuracyC-EDSVM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| C-EDSVMclassifier=linear, validation=5-fold cross-validated2026.04 | 86.23 | 92.49 | 84.13 | 82.02 | |
| LINEX-SVMclassifier=linear, validation=5-fold cross-validated2026.04 | 85.87 | 92.54 | 83.81 | 82.62 | |
| LS-EDSVMclassifier=linear, validation=5-fold cross-validated2026.04 | 85.51 | 92.35 | 83.56 | 81.5 | |
| C-EDSVMKernel=Gaussian RBF, Validation Protocol=5-fold CV2026.04 | 85.14 | 89.01 | 81.24 | 80.83 | |
| LS-SVMclassifier=linear, validation=5-fold cross-validated2026.04 | 85.14 | 92.46 | 83.11 | 82.59 | |
| C-SVMclassifier=linear, validation=5-fold cross-validated2026.04 | 84.78 | 93.71 | 82.86 | 83.24 | |
| LS-EDSVMKernel=Gaussian RBF, Validation Protocol=5-fold CV2026.04 | 84.42 | 88.01 | 80.94 | 75.74 | |
| LS-SVMKernel=Gaussian RBF, Validation Protocol=5-fold CV2026.04 | 84.06 | 89.49 | 80.25 | 77.53 | |
| C-SVMKernel=Gaussian RBF, Validation Protocol=5-fold CV2026.04 | 83.7 | 88.57 | 79.87 | 75.44 | |
| LINEX-SVMKernel=Gaussian RBF, Validation Protocol=5-fold CV2026.04 | 70.29 | 84.96 | 78.46 | 74.45 |