Skip to main content

Table 3 Comparison of ten classifiers with 10 repeats

From: DAE-CFR: detecting microRNA-disease associations using deep autoencoder and combined feature representation

 

AUC (fivefold CV)

AUC (tenfold CV)

LR (DAE-CFR)

0.9692 ± 0.0014

0.9696 ± 0.0012

KNN

0.9036 ± 0.0074

0.9082 ± 0.0050

DT

0.9243 ± 0.0041

0.9216 ± 0.0037

SVM

0.9649 ± 0.0014

0.9658 ± 0.0010

RF

0.9651 ± 0.0017

0.9617 ± 0.0018

GBDT

0.9644 ± 0.0022

0.9639 ± 0.0021

XGBoost

0.9642 ± 0.0015

0.9606 ± 0.0017

AdaBoost

0.9199 ± 0.0236

0.9148 ± 0.0197

NB

0.9619 ± 0.0011

0.9619 ± 0.0011

MLP

0.9435 ± 0.0231

0.9542 ± 0.0097

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us