Multiclass Classification on Iris
97.33AccuracyQSVM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| QSVMAlgorithm/Package/Solver=COPT, Parameters=C, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 97.33 | 97.43 | |
| ℓ1-QSVMAlgorithm/Package/Solver=COPT, Parameters=C1, C2, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 97.33 | 97.32 | |
| ℓ0-QSVMAlgorithm/Package/Solver=Algorithm 1, COPT, Parameters=C, k, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 97.33 | 97.56 | |
| LSVMAlgorithm/Package/Solver=Scikit-learn, Parameters=C, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 96.67 | 96.8 | |
| SVM-rbfAlgorithm/Package/Solver=Scikit-learn, Parameters=C, γ, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 96.67 | 97.02 | |
| SVM-Q2Algorithm/Package/Solver=Scikit-learn, Parameters=C, γ, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 96.67 | 97.19 | |
| ℓ1-SVMAlgorithm/Package/Solver=COPT, Parameters=C, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 96.67 | 96.8 | |
| LS-ℓ0-QSVMAlgorithm/Package/Solver=Algorithm 1, (7), COPT, Parameters=C, k, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 96.67 | 97 | |
| Multiclass TPMSVMFormulation=Robust, Classifier Type=Nonlinear2023.06 | 95.46 | — | |
| Multiclass TPMSVMFormulation=Robust, Classifier Type=Linear2023.06 | 95.35 | — | |
| Multiclass TPMSVMFormulation=Deterministic, Classifier Type=Nonlinear2023.06 | 95.3 | — | |
| SVM [32]Formulation=Robust, Classifier Type=Nonlinear2023.06 | 94.76 | — | |
| SVM [32]Formulation=Deterministic, Classifier Type=Nonlinear2023.06 | 94.59 | — | |
| Multiclass TPMSVMFormulation=Deterministic, Classifier Type=Linear2023.06 | 92.81 | — | |
| SVM [32]Formulation=Deterministic, Classifier Type=Linear2023.06 | 88.92 | — | |
| LS-ℓ0-SVMAlgorithm/Package/Solver=ADMM, Parameters=C, γ, λ, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 84 | 83.95 | |
| LS-SVMAlgorithm/Package/Solver=Numpy, Parameters=C, Validation=Five-fold cross validation, Multiclass Strategy=One-vs-rest2025.01 | 83.33 | 83.59 | |
| SVM [32]Formulation=Robust, Classifier Type=Linear2023.06 | 78.05 | — |