Figure 3

Performance of the ensemble classifier including 16 individual classifiers for different voting thresholds, i.e., minimum numbers of required positive decisions. The maximum threshold (16/16) achieves a specificity of above 99.9 percent on an independent test set of randomly selected sequences while still maintaining a sensitivity of above 82 percent on all human miRNAs (also used for training). Majority voting (8/16) shows more balanced values, both higher than found for the individual classifiers (1/1).