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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