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ResearchFormerly WizWand

Classification on NHANES

100AccuracyDecision Tree
98.772899.091499.4199.7286Jul 24, 2024
Updated 7mo ago

Evaluation results

MethodLinks
Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07100
Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07100
Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07100
Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07100
BaggingAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07100
BaggingAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07100
Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07100
Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07100
XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07100
XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07100
AdaBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07100
AdaBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07100
Logistic RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0799.96
Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0799.91
Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0799.91
Logistic RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0799.43
SVMAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0798.86
SVMAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0798.82