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. 2013 Aug 1;9(8):e1003649. doi: 10.1371/journal.pgen.1003649

Table 3. Accuracy of random forest classifier predictions.

Prediction AUC Accuracy
CAP_LCL ∈ Stranger_LCL 0.79 0.74
CAP_LCL ∈ Merck_liver 0.73 0.82
CAP_LCL ∈ (Stranger_LCL\Merck_liver) 0.67 0.71
UChicago_liver ∈ Merck_liver 0.74 0.70
UChicago_liver ∈ Stranger_LCL 0.77 0.73
UChicago_liver ∈ (Merck_liver\Stranger_LCL) 0.71 0.66
Harvard_cerebellum ∈ Myers_brain 0.71 0.83
Harvard_cerebellum ∈ Stranger_LCL 0.77 0.81
Harvard_cerebellum ∈ (Myers_brain\Stranger_LCL) 0.68 0.60

For the prediction task in the left-most column, we include the area under the curve (AUC) and prediction accuracy.