BioMed Research International / 2015 / Article / Tab 4 / Research Article
Multi-Instance Multilabel Learning with Weak-Label for Predicting Protein Function in Electricigens Table 4 Comparison results (mean ± std.) of MIMLwel models with four state-of-the-art MIML methods with different weak-label ratios on the Geobacter sulfurreducens dataset.
W.L.R. Methods HL↓ maF1↑ miF1↑ 20% MIMLwel 0.010 ± 0.002 0.003 ± 0.004 0.032 ± 0.035 MIMLNN 0.010 ± 0.002 0.000 ± 0.000 0.000 ± 0.000 ● MIMLRBF 0.010 ± 0.002 0.002 ± 0.003 0.002 ± 0.003 ● MIMLSVM 0.012 ± 0.002 0.005 ± 0.003 0.005 ± 0.003 ● EnMIMLNN {metric} 0.010 ± 0.002 0.002 ± 0.002 0.001 ± 0.002 ● 40% MIMLwel 0.010 ± 0.002 0.009 ± 0.005 0.116 ± 0.038 MIMLNN 0.010 ± 0.002 0.000 ± 0.000 0.000 ± 0.000 ● MIMLRBF 0.010 ± 0.002 0.004 ± 0.004 0.003 ± 0.003 ● MIMLSVM 0.012 ± 0.001 0.006 ± 0.003 0.006 ± 0.003 ● EnMIMLNN {metric} 0.010 ± 0.002 0.003 ± 0.004 0.003 ± 0.003 ● 60% MIMLwel 0.010 ± 0.002 0.016 ± 0.006 0.201 ± 0.034 MIMLNN 0.010 ± 0.001 0.001 ± 0.001 0.001 ± 0.001 ● MIMLRBF 0.009 ± 0.001 0.009 ± 0.007 0.008 ± 0.007 ● MIMLSVM 0.011 ± 0.001 0.008 ± 0.003 0.008 ± 0.003 ● EnMIMLNN {metric} 0.010 ± 0.001 0.009 ± 0.004 0.008 ± 0.004 ● 80% MIMLwel 0.011 ± 0.001 0.019 ± 0.007 0.245 ± 0.050 MIMLNN 0.010 ± 0.001 0.002 ± 0.001 ● 0.002 ± 0.001 ● MIMLRBF 0.009 ± 0.000 0.009 ± 0.004 ● 0.008 ± 0.004 ● MIMLSVM 0.011 ± 0.001 0.008 ± 0.002 ● 0.008 ± 0.002 ● EnMIMLNN {metric} 0.009 ± 0.001 0.013 ± 0.004 0.012 ± 0.004 ●