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Table 1 Accuracy (mean ± standard deviation) of the compared algorithms against different label ratios on problem (1) of KDD Cup 2001.

From: Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization

label ratio

RNMF

SVM

wvRN+RL

ICA

semiICA

2%

0.790 ± 0.023

0.700 ± 0.044

0.633 ± 0.012

0.700 ± 0.058

0.725 ± 0.052

3%

0.827 ± 0.031

0.736 ± 0.004

0.624 ± 0.013

0.731 ± 0.063

0.755 ± 0.004

4%

0.833 ± 0.021

0.774 ± 0.005

0.650 ± 0.004

0.760 ± 0.052

0.774 ± 0.055

5%

0.843 ± 0.008

0.770 ± 0.003

0.675 ± 0.023

0.771 ± 0.058

0.792 ± 0.001

Avg.

0.823 ± 0.020

0.745 ± 0.014

0.645 ± 0.013

0.740 ± 0.057

0.762 ± 0.028