Skip to main content

Table 7 Prediction model using all significant SNPs

From: Building a model for predicting metabolic syndrome using artificial intelligence based on an investigation of whole-genome sequencing

 

AUC

Sens

Spec

Prec

F1

logistic

0.68

0.74

0.586

0.297

0.424

random forest

0.8

0.675

0.788

0.43

0.525

adaboost

0.82

0.764

0.732

0.403

0.528

Neural network

0.8

0.748

0.74

0.405

0.526

  1. AUC, area under curve; Sens, sensitivity; Spec, specificity; Prec, precision value; F1, F1 score
Back to article page

Journal of Translational Medicine

ISSN: 1479-5876

Contact us