Skip to main content

Table 8 Molecular subtype classification of Breast Cancer to separate TNBC from other breast cancer subtypes using the 100-miRNA signature, on the GEO dataset

From: Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection

 

TNBC

Other

Global

#Samples

139

44

183

Gradient Boosting

0.9353

0.7500

0.8909

Random Forest

0.9424

0.6136

0.8634

Logistic Regression

0.9065

0.6590

0.8476

Passive Aggressive

0.8561

0.7045

0.8197

SGD

0.9065

0.5227

0.8145

SVC

0.8561

0.7727

0.8355

Ridge

0.8993

0.6136

0.8300

Bagging

0.9496

0.7727

0.9070

Average

0.9065

0.6761

0.8511

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us