BioMed Research International / 2015 / Article / Tab 5 / Research Article
Multi-Instance Multilabel Learning with Weak-Label for Predicting Protein Function in Electricigens Table 5 Comparison results (mean ± std.) of MIMLwel models with four state-of-the-art MIML methods with different weak-label ratios on the Shewanella loihica PV-4 dataset.
W.L.R. Methods HL↓ maF1↑ miF1↑ 20% MIMLwel 0.013 ± 0.002 0.009 ± 0.008 0.145 ± 0.111 MIMLNN 0.010 ± 0.002 0.000 ± 0.000 0.000 ± 0.000 ● MIMLRBF 0.011 ± 0.003 0.001 ± 0.001 0.001 ± 0.001 ● MIMLSVM 0.012 ± 0.002 0.005 ± 0.002 0.004 ± 0.002 ● EnMIMLNN {metric} 0.010 ± 0.003 0.001 ± 0.001 0.001 ± 0.001 ● 40% MIMLwel 0.010 ± 0.002 0.005 ± 0.003 0.092 ± 0.039 MIMLNN 0.010 ± 0.002 0.000 ± 0.000 0.000 ± 0.000 ● MIMLRBF 0.010 ± 0.002 0.001 ± 0.002 0.001 ± 0.002 ● MIMLSVM 0.012 ± 0.002 0.004 ± 0.002 0.004 ± 0.002 ● EnMIMLNN {metric} 0.010 ± 0.002 0.001 ± 0.003 0.001 ± 0.003 ● 60% MIMLwel 0.011 ± 0.003 0.010 ± 0.006 0.167 ± 0.072 MIMLNN 0.010 ± 0.003 0.001 ± 0.001 0.001 ± 0.001 ● MIMLRBF 0.010 ± 0.004 0.004 ± 0.004 0.003 ± 0.003 ● MIMLSVM 0.012 ± 0.003 0.005 ± 0.001 0.005 ± 0.002 ● EnMIMLNN {metric} 0.010 ± 0.003 0.005 ± 0.003 0.004 ± 0.003 ● 80% MIMLwel 0.011 ± 0.003 0.011 ± 0.005 0.186 ± 0.043 MIMLNN 0.010 ± 0.003 0.002 ± 0.001 0.001 ± 0.001 ● MIMLRBF 0.009 ± 0.003 0.008 ± 0.005 0.007 ± 0.005 ● MIMLSVM 0.012 ± 0.003 0.005 ± 0.002 0.005 ± 0.001 ● EnMIMLNN {metric} 0.010 ± 0.003 0.006 ± 0.004 0.005 ± 0.003 ●