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Table 7 Performance of different DSCCN models on multi-classification for all subtypes of breast cancer

From: Classifying breast cancer subtypes on multi-omics data via sparse canonical correlation analysis and deep learning

Models

Accuracy

Precision-macro

Recall-macro

F1-macro

DSCCN1

0.783

0.605

0.614

0.609

DSCCN2

0.840

0.809

0.825

0.817

DSCCN3

0.830

0.600

0.676

0.633

DSCCN4

0.868

0.787

0.749

0.768

DSCCN5

0.774

0.581

0.570

0.575

DSCCN

0.906

0.880

0.864

0.872

  1. The best results are marked in bold
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BMC Bioinformatics

ISSN: 1471-2105

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