Classification on Wine
99.1AccuracySVM
Evaluation Results
| Method | Links | |
|---|---|---|
| SVM2026.03 | 99.1 | |
| Logistic RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 98.89 | |
| SVMAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 98.89 | |
| Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 98.89 | |
| Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 98.87 | |
| XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 98.87 | |
| Logistic RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 98.86 | |
| SVMAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 98.33 | |
| Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 98.33 | |
| Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 98.3 | |
| RFvalidation_strategy=5-fold cross validation2021.09 | 97.78 | |
| RRLvalidation_strategy=5-fold cross validation2021.09 | 97.76 | |
| AdaBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 97.71 | |
| LDS2021.02 | 97.3 | |
| CRSvalidation_strategy=5-fold cross validation2021.09 | 97.22 | |
| IDGL2021.02 | 97 | |
| NTK-ECRN2025.12 | 97 | |
| Bipolar2026.03 | 96.7 | |
| BaggingAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 96.65 | |
| Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 96.65 | |
| SLAPSGenerator=FP2021.02 | 96.6 | |
| BaggingAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 96.6 | |
| SLAPSGenerator=MLP-D2021.02 | 96.5 | |
| ResNet-182025.12 | 96.5 | |
| SLAPSGenerator=MLP2021.02 | 96.3 | |
| MLP2021.02 | 96.1 | |
| LightGBMvalidation_strategy=5-fold cross validation2021.09 | 96.08 | |
| XGBoostvalidation_strategy=5-fold cross validation2021.09 | 96.06 | |
| MLP2025.12 | 96 | |
| LRvalidation_strategy=5-fold cross validation2021.09 | 95.54 | |
| XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 95.54 | |
| Standard NTK2025.12 | 95.2 | |
| CORELSvalidation_strategy=5-fold cross validation2021.09 | 94.52 | |
| AdaBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 93.89 | |
| C4.5validation_strategy=5-fold cross validation2021.09 | 93.83 | |
| kNN-GCN2021.02 | 93.5 | |
| SBRLvalidation_strategy=5-fold cross validation2021.09 | 92.7 | |
| n-ARIA2026.03 | 92.4 | |
| Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 92.14 | |
| ARIA2026.03 | 91.7 | |
| SVMvalidation_strategy=5-fold cross validation2021.09 | 91.03 | |
| Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 90.91 | |
| PLNN(MLP)validation_strategy=5-fold cross validation2021.09 | 90.52 | |
| CARTvalidation_strategy=5-fold cross validation2021.09 | 90.46 | |
| Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 82.6 |