Classification on AIDS
89.67AccuracyXGBoost
Evaluation Results
| Method | Links | |
|---|---|---|
| XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 89.67 | |
| BaggingAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 89.62 | |
| XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 89.62 | |
| Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 89.29 | |
| Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 89.2 | |
| AdaBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 89.1 | |
| AdaBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 88.92 | |
| Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 88.83 | |
| Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 88.82 | |
| BaggingAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 88.82 | |
| Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 88.78 | |
| Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 88.73 | |
| SVMAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 88.59 | |
| SVMAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 88.45 | |
| Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 87.89 | |
| Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 87.7 | |
| Logistic RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 86.54 | |
| Logistic RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 86.44 |