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Table 7 Training time of every method on benchmark datasets (± variance)

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

Datasets

RELM

L21-RFELM

LR21ELM

CELM

CSRGELM

Iris

0.0020 ± 0.0000

0.0197 ± 0.0004

0.0752 ± 0.0003

0.0221 ± 0.0001

0.0834 ± 0.0021

COIL20

0.0366 ± 0.0000

1.3369 ± 0.0001

2.9500 ± 0.0002

3.2786 ± 0.0599

6.2550 ± 0.0001

USPST

0.0483 ± 0.0001

0.4450 ± 0.0001

4.9219 ± 0.0242

5.1551 ± 0.0046

8.1832 ± 0.0010

g50c

0.0055 ± 0.0001

0.1535 ± 0.0001

0.4197 ± 0.0389

0.0962 ± 0.0038

0.2858 ± 0.1133

RNA-seq

0.0070 ± 0.0000

1.0653 ± 0.0001

1.9405 ± 0.4001

0.4083 ± 0.0003

1.4773 ± 0.0891