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Table 2 Comparison of predictive performance among different models

From: An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making

 

Filter (MI)

SVM-RFE

Ridge

Lasso

RandomForest

Accuracy

0.843

0.845

0.844

0.839

0.828

F Score

0.915

0.774

0.915

0.912

0.770

  1. Accuracy and F-score were jointly used to evaluate the performance. Lasso, Ridge, and filter method had relatively better performance and Random Forest had the worst performance
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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