Classification on NHANES
100AccuracyDecision Tree
Evaluation Results
| Method | Links | |
|---|---|---|
| Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| BaggingAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| BaggingAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| AdaBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| AdaBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 100 | |
| Logistic RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 99.96 | |
| Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 99.91 | |
| Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 99.91 | |
| Logistic RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 99.43 | |
| SVMAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 98.86 | |
| SVMAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 98.82 |