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Table 2 Active learning performance results for all six data sets over 11 iterations of learning using the labeled set obtained from co-training. Results demonstrate average area under the precision-recall curves. Standard deviations were in the range of 0.001 to 0.003 for all experiments and are omitted from the table for clarity purposes

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

Iteration hsa mmu dme bta gga eca
0.779 0.955 0.921 0.865 0.964 0.961
1 0.812 0.951 0.918 0.877 0.960 0.962
2 0.856 0.959 0.921 0.890 0.963 0.965
3 0.875 0.963 0.925 0.894 0.963 0.965
4 0.881 0.963 0.928 0.916 0.964 0.968
5 0.888 0.968 0.930 0.932 0.965 0.970
6 0.891 0.970 0.929 0.939 0.965 0.971
7 0.891 0.972 0.931 0.939 0.965 0.971
8 0.896 0.972 0.937 0.941 0.964 0.971
9 0.898 0.972 0.940 0.948 0.964 0.970
10 0.901 0.972 0.941 0.947 0.965 0.971
11 0.903 0.972 0.941 0.948 0.965 0.971