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. 2013 Jan 7;8(1):e53235. doi: 10.1371/journal.pone.0053235

Table 3. Performance comparison among various types of sequence features and methods for the across-germline prediction in terms of Jackknife test accuracy.

Method Sensitivity Specificity Accuracy (%)
Random Forests (AAC) 0.846 0.731 79.63
Random Forests (DPC) 0.854 0.806 83.33
Random Forests (PPs) 0.846 0.720 79.17
Random Forests (AAC+DPC) 0.854 0.801 83.10
Random Forests (AAC+PPs) 0.854 0.731 80.09
Random Forests (DPC+PPs) 0.870 0.774 82.87
Random Forests (AAC+DPC+PPs) 0.858 0.763 81.71