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Table 8 Training time of every method on TCGA datasets (± variance)

From: Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

Datasets

RELM

L21-RFELM

LR21ELM

CELM

CSRGELM

CE

0.0108 ± 0.0000

0.5854 ± 0.0004

0.8893 ± 0.0001

1.2014 ± 0.0001

3.4048 ± 0.0001

EHP

0.0402 ± 0.0001

1.2358 ± 0.0001

1.3432 ± 0.0003

3.1345 ± 0.0008

6.5448 ± 0.1786

CEHP

0.0521 ± 0.0001

4.0034 ± 0.3392

1.6710 ± 0.0005

8.4452 ± 0.6172

31.2409 ± 0.7403

CEHPC2

0.0907 ± 0.0010

4.6731 ± 0.0174

6.3159 ± 0.2753

9.1278 ± 0.0033

31.7088 ± 0.0013