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Table 2 ACA of 6 methods on different datasets

From: Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression

 

124 miRNA\(^{[proposed]}\)

\(8^*\) feature set [16]

The whole feature set

MLR-R

0.7941 (0.0026)

0.7715 (0.0025)

0.7361 (0.0018)

MLR-L

0.7274 (0.0030)

0.7185 (0.0027)

0.7167 (0.0023)

MLR

0.6574 (0.0037)

0.6257 (0.0037)

0.6361 (0.0041)

RF

0.7504 (0.0020)

0.7680 (0.0024)

0.7491 (0.0020)

SVM

0.7657 (0.0021)

0.7554 (0.0019)

0.7415 (0.0024)

NB

0.7565 (0.0028)

0.7285 (0.0033)

0.7198 (0.0039)

  1. The highest average classification accuracy obtained by each method on different feature sets was shown in bold
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BMC Bioinformatics

ISSN: 1471-2105

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