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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