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Table 4 AUC and P values of AGEC compared with different models

From: Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers

Algorithm

Prediction accuracy (area under the curve)

AUC

P value

MLFE

0.5201 ± 0.016

0.0304

SVM

0.7034 ± 0.012

0.0302

ERM

0.6632 ± 0.030

0.0298

SVR

0.6312 ± 0.022

0.0305

FWAdaBoost

0.7014 ± 0.002

0.0301

AGEC

0.7401 ± 0.021

0.0305

  1. The value in bold font symbolizes the best performance