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Table 3 Comparing average AUPRC for all six data sets over the following methods: miPIE classification tool (restricted to 32 training exemplars), miRDeep2, active learning alone, and dual stage semi-supervised pipeline. Means ± standard deviations are shown, representing 100 repetitions of each experiment (except for miRDeep2)

From: A semi-supervised machine learning framework for microRNA classification

Data set miPIE miRDeep2 Active learning alone Proposed dual-stage SS pipeline
hsa 0.844 (± 0.01) 0.736 0.875 (± 0.01) 0.903 (± 0.02)
mmu 0.966 (± 0.01) 0.915 0.972 (± 0.00) 0.972 (± 0.00)
dme 0.894 (± 0.01) 0.914 0.924 (± 0.01) 0.941 (± 0.01)
bta 0.905 (± 0.02) 0.869 0.935 (± 0.01) 0.948 (± 0.01)
gga 0.919 (± 0.01) 0.923 0.944 (± 0.01) 0.965 (± 0.00)
eca 0.919 (± 0.01) 0.843 0.971 (± 0.00) 0.971 (± 0.00)
Average 0.908 0.867 0.935 0.950