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.