Skip to main content

Table 8 Performance of the voting and stacking ensemble models

From: Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests

Ensemble models

AUC (95%CI)

Accuracy (95%CI)

Precision (95%CI)

Recall (95%CI)

F1 (95%CI)

Stacking

0.996(0.995,0.998)

0.978(0.973,0.982)

0.980(0.972,0.985)

0.976(0.969,0.982)

0.978(0.972,0.982)

Voting

0.996(0.994,0.997)

0.973(0.968,0.978)

0.961(0.952,0.969)

0.987(0.982,0.992)

0.974(0.968,0.978)

Back to article page

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us