Binary Classification on abalone
89.7AccuracySVM-rbf
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SVM-rbfAlgorithm/Package/Solver=Scikit-learn, Parameters=C, γ, Validation=Five-fold cross validation2025.01 | 89.7 | 89.95 | |
| SVM-Q2Algorithm/Package/Solver=Scikit-learn, Parameters=C, γ, Validation=Five-fold cross validation2025.01 | 89.28 | 89.43 | |
| ℓ0-QSVMAlgorithm/Package/Solver=Algorithm 1, COPT, Parameters=C, k, Validation=Five-fold cross validation2025.01 | 89.21 | 89.32 | |
| QSVMAlgorithm/Package/Solver=COPT, Parameters=C, Validation=Five-fold cross validation2025.01 | 88.89 | 89.11 | |
| ℓ1-QSVMAlgorithm/Package/Solver=COPT, Parameters=C1, C2, Validation=Five-fold cross validation2025.01 | 88.79 | 88.99 | |
| LS-ℓ0-QSVMAlgorithm/Package/Solver=Algorithm 1, (7), COPT, Parameters=C, k, Validation=Five-fold cross validation2025.01 | 88.44 | 88.54 | |
| ℓ1-SVMAlgorithm/Package/Solver=COPT, Parameters=C, Validation=Five-fold cross validation2025.01 | 87.7 | 87.73 | |
| LSVMAlgorithm/Package/Solver=Scikit-learn, Parameters=C, Validation=Five-fold cross validation2025.01 | 87.21 | 87.18 | |
| LS-ℓ0-SVMAlgorithm/Package/Solver=ADMM, Parameters=C, γ, λ, Validation=Five-fold cross validation2025.01 | 86.69 | 86.69 | |
| LS-SVMAlgorithm/Package/Solver=Numpy, Parameters=C, Validation=Five-fold cross validation2025.01 | 86.51 | 86.48 |