Skip to main content
. 2014 Jun 11;30(12):i157–i164. doi: 10.1093/bioinformatics/btu275

Table 2.

Micro-average performance of MKL algorithms

METLIN
MassBank
Acc (%) F1 (%) Acc (%) F1 (%)
UNIMKL 85.0 ± 0.6 78.3 ± 0.7 82.2 ± 0.6 73.9 ± 1.5
ALIGN 85.2 ± 0.6 78.6 ± 0.7 82.4 ± 0.7 74.4 ± 1.4
ALIGNF 85.0 ± 0.5 78.6 ± 0.4 82.8 ± 0.4 75.2 ± 1.2
QCMKL 84.9 ± 0.5 77.8 ± 0.5 82.1 ± 0.6 74.0 ± 0.7
2-MKL 84.7 ± 0.5 77.5 ± 0.5 82.2 ± 0.5 74.0 ± 0.9
3-MKL 85.2 ± 0.6 78.5 ± 0.7 82.4 ± 0.6 74.4 ± 1.3
4-MKL 85.2 ± 0.6 78.5 ± 0.8 82.3 ± 0.6 74.2 ± 1.0
5-MKL 85.1 ± 0.6 78.5 ± 0.7 82.3 ± 0.6 74.1 ± 1.3